INNOVATION
Innovation is all in the approach.
We take big ideas that shape the future and make them bigger.
SAS doesn't settle for ordinary innovation. We put thought and research into ideas that matter – and then create analytics solutions that improve your business.
Tomorrow's technology, happening today.
Artificial Intelligence
AI applies machine learning, computer vision, natural language processing and other technologies to bring learning and automation to machines.
Learn more about AI
The Internet of Things
Everyday objects – from industrial machines to wearable devices – use built-in sensors to gather data and take action on it. SAS Analytics helps glean knowledge from that data for instant insights.
Learn more about IoT
ModelOps
A holistic approach for rapidly and iteratively moving models through the analytics life cycle so they are deployed faster and deliver expected business value.
Learn more about ModelOps
Beefutures & SAS
Beefutures uses visual analytics and machine learning to help protect and support healthy bee populations.
Lockheed Martin & SAS
Artificial intelligence and IoT analytics keep aircraft operational for crucial missions.
Explore More on This Topic
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The big effects of big dataHow is big data affecting consumers? Is it making positive change in the public sector? What do younger generations think of big data? Find the answers in this interview with author and professor Bart Baesens.
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Real-world techniques for analyzing big dataWhat are the top two analytics techniques you should know for big data? And how are businesses modernizing for big data analytics? Find out in this interview with author and professor Bart Baesens.
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文章
A police force of our timeLike many countries, the crime and threats
that Denmark faces are developing at a
rapid pace. The police have to do more
with fewer resources, just like the rest of
the public sector. The police’s strong
professional culture, which focuses on
team spirit and on acting in dangerous
situations, must be supplemented with
new competences.
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Amplify your data career with analytics
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訪問
How does a center of excellence really work?At the Cincinnati Insurance Companies, analytics is bridging the gulf between IT and business units and leading by example to form common measures and objectives.
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網路研討會
SAS® Viya® and the cloud: How SAS is changing the game it inventedJoin this webinar to learn how to make the most of cloud migration with SAS Viya.
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網路研討會
How Do I Migrate SAS® Event Stream Processing Workloads to Microsoft Azure?Learn how SAS and Microsoft work together to seamlessly migrate SAS Event Stream Processing workloads to Microsoft Azure.
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網路研討會
Real-Time Predictive Analytics: Uncovering Opportunities and Barriers at the Speed of Data FlowJoin us as we discuss how SAS® Event Stream Processing can help organizations uncover data anomalies instantly, before trouble starts or opportunity passes
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網路研討會
The promise of data fabrics for analytics and better decisionsDiscover how to make analytically driven decisions and realize the value of data assets.
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網路研討會
Predictive Maintenance: A More Proactive and ROI-Driven Business ModelIncrease uptime and reduce unnecessary capital expenditures with predictive maintenance
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網路研討會
AI in Health Care: Enhance Clinical and Operational Decision MakingAI is revolutionizing the health care sector. Join SAS and Microsoft to explore innovative AI solutions for better patient outcomes and efficient care delivery.
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網路研討會
Have Your Cake and Eat It Too – With R, Python + SASJoin us for a webinar and demo and learn how SAS works with R and Python to easily scale your data science efforts for enterprise analytics deployment.
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網路研討會
Analytics Value Training - A FrameworkJoin this webinar to learn about Analytics Value Training and if it’s a worthwhile investment of your time and company’s resources.
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網路研討會
Five Imperatives for the Analytic ExecutiveLearn what it takes to capitalize on the analytics economy and generate substantial business value.
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網路研討會
From Idea to Action: The Keys to Real-World Evidence and AnalyticsReal-world data is the latest industry buzz, but is it that valuable? Without the power of analytics, it might not be.
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網路研討會
Building and Maintaining Data Science TalentHear diverse perspectives on how to address the data science skills shortage through talent development programs, partnerships with academic institutions and more.
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白皮書
The Autonomous Grid in the Age of the Artificial Intelligence of ThingsExplore how AI and IoT work together to deliver everything from improved threat detection to better customer engagement for utilities.
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白皮書
TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoTcustomer data, IoT
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白皮書
Building the Data-Intelligent Enterprise: Tap the Power of Technology and PartnersThe value of an intelligent enterprise is clear, but operationalizing analytics can be a long and complex journey. There is no magic bullet or singular solution. Rather, it takes the support of strategic partnerships to create a cohesive strategy and deployment road map that will accelerate deployment and maximize value from analytics investments.
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白皮書
What You Need to Know About Data & Digital TransformationCompanies need to know how to use data to meet client needs, hire the right talent, measure performance and communicate their brand’s promise. This collection will cover how to adopt and analyze data and use it as part of your digital transformation.
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電子書
Mastering Model Lifecycle OrchestrationThis interactive guide describes the stages of the model life cycle and explains why organizations should embrace different programming languages, tools, techniques and runtime environments when developing and deploying models.
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電子書
Operationalizing AnalyticsExplore how to overcome difficulties related to data and operationalizing analytics. We’ll also look at how one industry – banking – has been able to realize the full benefit of its analytics investment.
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電子書
The Innovator's Flight Plan to AIAs an emerging technology, AI is naturally associated with innovation. Many organizations are using AI to develop new products and business models, and to improve their business processes.
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電子書
The New Analytics EcosystemMany organizations are struggling to evolve their current analytics ecosystem, with disparate groups working across multiple technologies and tools. We surveyed more than 1,000 organizations to determine their level of adoption of technology to evolve their analytics ecosystem. In this e-book, you’ll learn the results of our survey and the three approaches to analytics that deserve your attention
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白皮書
What is the best path forward?Mathematical optimization finds the best courses of action through multiple variables and conflicting constraints.
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白皮書
ModelOps: Maximizing Value Across the Analytics Life CycleLearn how “ModelOps,” an emerging analytics methodology, can help organizations operationalize the full analytics life cycle at scale.
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白皮書
TDWI Best Practices Report | Faster Insights from Faster Dataresearch report on improving speed to insight
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電子書
Formidable ForecastsWith artificial intelligence capabilities and traditional forecasting processes, it’s possible to create efficiencies by automating the production of large-scale time-series analyses and hierarchical forecasts.
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電子書
Augmented Analytics: The secret ingredient to better business intelligenceAugmented analytics breaks down the limitations of
business intelligence (BI) and brings forward insights
from data using AI and machine learning.
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白皮書
Accelerate Open Source Forecasting With SAS®By running open source forecast models with SAS, organizations can build upon their existing open source strategies in an agile, efficient and highly scalable way.
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電子書
Accelerate and improve business outcomes with AIoTOrganizations across multiple industries are using AIoT to improve quality, maximize equipment performance, improve efficiencies and more. Download this e-book to find out how you can reap the same benefits.
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白皮書
AIOT: How IoT Leaders Are Breaking Away (IDC Market Report / AIoT Survey 2019)Read the results of a global study conducted by IDC, which revealed that AI and the IoT are having a bigger-than-expected impact – and leaders report that the AIoT is becoming the key to competing effectively.
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其他 – 第三方合作夥伴
Industrial Transformation. Architecture and Analytics Just the BeginningCompanies undertake industrial transformation for a variety of reasons, like a shift in product or service offering, a new operating model, cost structures or even the ability to stay relevant in a highly competitive market. Regardless of the strategic opportunity, transformation requires unified processes, technologies and people.
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白皮書
Artificial Intelligence in Banking and Risk ManagementGlobal Association of Risk Professionals (GARP) and SAS survey drew more than 2,000 responses from across the financial services industry to answer questions about the current and future state of AI in risk.
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白皮書
Data, Analytics & AI: How Trust Delivers ValueThe annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights.
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白皮書
How AI Changes the RulesReaping the benefits of AI will require changes in workplace structures, technology strategies and technology governance. Read on to learn more about the changes that leaders must prepare for to successfully implement trusted AI.
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電子書
Getting started with ModelOpsDeployment – the infamous "last mile" of analytics – is a challenge, with many development projects never being deployed at all. Explore how ModelOps can help by redefining how you deploy models.
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白皮書
Unified Platforms for Modern AnalyticsBest practices report about unified analytics platforms from TDWI.
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白皮書
Combining Robotic Process Automation and Machine LearningLearn how you can make robotic process automation smart by adding machine learning to it.
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白皮書
Computer vision for product qualityExplore how manufacturers can address product quality challenges with the latest advances in computer vision by using analytics-driven intelligence wherever it’s needed – from the edge to the cloud.
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白皮書
Analytics That Matter: A New WorldThis much-anticipated study examines industrial companies’ progress in analytics over the past two years, including the recent impact of COVID-19. The report is based on an LNS Research survey of nearly 6,200 plants.
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電子書
Internet of Things: Understanding the JourneyWhether your focus is business outcomes or technology challenges, this guide provides the insights to accelerate your IoT journey.
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電子書
Fearless Decision? The most successful banks of the future will be those who can see their customers as individuals, appreciate their unique journeys and make decisions accordingly — across all associated business functions.
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白皮書
AI Momentum, Maturity & Models for Success: Focus on SingaporeAdvances in data and analytics have enabled early adopters of AI to grow beyond experiments and quick hits and provide examples for paths to success with AI.
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電子書
How to Take AI Projects From Start to WinThe four pillars of starting a successful AI program and examples of how other organizations have taken their AI projects from start to finish.
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電子書
Powering Health Innovation with AIThere is no doubt: AI has the potential to transform health care. The most recent SAS Hackathon showcased how the transformative power of analytics can spark health care innovation. The Hackathon was entirely conducted on a Microsoft Azure cloud infrastructure to facilitate the agile analysis and visualization of big data.
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白皮書
AI for the CIO: 10 Tips for SuccessThis paper offers 10 tips for the CIO who is knee-deep in digital transformation projects that require deploying AI models at an enterprise scale.
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電子書
Integrating data. Enhancing decisions. Improving lives. Find out how cloud-based analytics and AI is transforming health care.
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電子書
Data scientists use SAS Viya on Microsoft Azure to develop big innovationsThis e-book features top solutions showcasing how global Hackathon teams used SAS Viya on Microsoft Azure to develop innovative approaches that save time, money, and entire ecosystems, such as the world's coral reefs.
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電子書
Government and education: Leading through changeExplore the collected wisdom and stories of government and education leaders who are rising to the challenges of our times and applying analytics to drive evidence-based decision making.
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電子書
Governments leading through changeIn this e-book, SAS has collected the wisdom and stories of the government agencies that are rising to the challenges of our times and applying analytics to drive evidence-based decision making. These stories are pulled from every sector of government and are relevant across all sectors because they each share innovative new ways to respond to a changing landscape.
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電子書
Resilience: The best way to beat coronavirusTo be truly resilient means proactively seeking ways to ensure operational and financial stability no matter the circumstances. In this e-book, we explore digital transformation’s role in reimagining the world beyond COVID-19; how operational agility builds resilience; the five pillars of organizational resilience and more.
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白皮書
How the first mile of consumer goods can fight climate changeInnovation via digital transformation in agriculture and consumer packaged goods presents a unique opportunity to capture sustainability and move toward scalable, market-driven improvements in the air, soil and water.
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電子書
How to Maximize the Impact of your AnalyticsFind out the results of our latest research, which revealed that the use of analytics is continuing to evolve in most organizations and that many organizations are on the path to using analytics strategically.
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白皮書
Using a Hybrid Open Source and Commercial Analytics EcosystemAs more companies make the move to advanced analytics such as machine learning, they will need to decide whether to use open source, commercial products, or a combination of the two. An analysis in this TDWI report shows there are benefits to utilizing both.
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白皮書
Data, analytics and machine learning: The new frontier of fraud preventionThe Economist explores how global financial institutions are using advanced technologies such as machine learning to support fraud and security intelligence.
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白皮書
Seven trends that will transform bankingAdvanced analytics and big data are enabling smarter decisions and more efficient processes, from credit to compliance and risk management.
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白皮書
Field Experience in Embedded AnalyticsFast-track selected analytics into the could by leveraging expertise, using the latest methods, and focusing on the end state. Find ways to create more business value with analytics in the cloud – and ways to get there faster.
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電子書
What's Next for Life Sciences?The unique challenges of the coronavirus pandemic forced life sciences companies to respond to change more rapidly than ever before. Only the companies that are nimble, innovative and able to act quickly – while maintaining regulatory and scientific standards – will succeed in addressing the immediate needs of the crisis and beyond.
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白皮書
The secret to IT success? Enabling choice and control SAS can support an organziation's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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電子書
Building your data and analytics strategyLaunch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly
data-driven.
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白皮書
Four Elements of Sustainability AnalyticsDirectors at consumer-packaged goods manufacturers who embrace sustainability grow their revenue while improving lives and environmental outcomes.
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白皮書
TDWI Checklist Report Analytics for Everyone: Seven Tips for Promoting Analytics AdoptionChecklist Report on democratizing analytics
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電子書
Innovation: From data to businessReport on findings from a global expert interview study on the topic of analytics driven innovation; Peer insights to help navigate the journey from data to innovation.
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客戶案例
Protecting Endangered Species with AI SolutionsCan artificial intelligence protect endangered species from extinction? The answer may lie in their footprints. WildTrack researchers are exploring the possibilities of using AI to augment the process of animal tracking used by indigenous tribes and redefine what conservation efforts look like in the future.
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客戶案例
Empowering customers to choose more efficient energy consumptionUnlocking the power of data with SAS® helps Repsol journey toward sustainable energy
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客戶案例
Austrian bank uses integrated risk and carbon calculation engine to steer towards net-zero by 2050Erste Group extends its SAS Solution for Regulatory Capital to help understand and reduce impact of climate change on its portfolios
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客戶案例
Hyper-personalized offers help consumer finance company elevate the customer experienceHome Credit modernizes its marketing with SAS® Customer Intelligence 360 to increase engagement, boost efficiency and reduce costs
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客戶案例
Changing the data conversation in Ohio schoolsHow the Gallia-Vinton Educational Service Center is transforming education one data conversation at a time
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客戶案例
Fighting loan application fraud with cutting-edge analyticsBausparkasse Schwäbisch Hall uses SAS® Viya® to identify forged income documents
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客戶案例
Building a decision support systemSAS Business Analytics helps DES generate and analyze key statistical reports, saving time and leading to more effective socioeconomic decision making.
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Large metro county improves indigent adult services; supports policy changes and protects privacy with SASWith SAS, a large metropolitan county measures the costs and benefits of providing services and avoids duplicating services without compromising privacy.
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North Carolina gets tougher on crimeLaw enforcement and criminal justice officials in North Carolina improved data access with an annual savings of $12 million.
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Understand the propensity of your customers to defectSAS® Analytics helps EDF Energy know who will churn and why. The insights help this energy giant implement a highly successful marketing strategy to reduce churn.
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Using technology to keep the community safeWest Midlands Police uses SAS Data Management to get cleaner data, which means cleaner streets.
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客戶案例
How to arm graduate students with real-world skillsSAS aids Oklahoma State University in educating the business analysts of the future.
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Get more precision and detail on costs and business processesCESCE uses SAS® Activity-Based Management for greater precision and detail on costs and business processes.
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客戶案例
Knowing the who, informs the whatThe New Zealand Ministry of Health established the Virtual Data Registry to more accurately identify diabetes sufferers and citizens likely to contract diabetes. They'll use the database to inform policy and spending decisions that will ensure better care for those patients.
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影片
UPS loves logistics and analyticsEver thought about what backs the intricate sorting, delivery and route process behind your receipt of a UPS package? See how the package delivery company moves from descriptive to predictive to prescriptive analytics in this video.
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訪問
Data visualization: A wise investment in your big data futureData visualization technologies can help the practice of data-driven decision making really take hold. But putting data visualization software in the hands of business users? Is it crazy – or crazy smart?
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白皮書
From Value to Vision: Reimagining the Possible with Data Analytics -
Educating informed “intuitants"Today’s knowledge worker and future senior leader should be an “informed intuitant,” says Dr. Jay Liebowitz of the University of Maryland University College. Read more about a skill set that combines analytics and intuition – and how you can better develop it.
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How to create your own organizational think tank Analytics today is about looking to the future for answers. Two retail analytics leaders share their ideas for creating a smart team of diverse experts to shape your strategic focus.
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文章
Understanding data in motionLearn how to analyze fast-moving data streams on the fly with event stream processing.
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文章
Amplify your data career with analyticsIf you're interested in a career in analytics, you'll need to consider if you have the temperament to match. Discover the questions you need to ask yourself, the first steps to set you on the right path and obstacles to avoid.
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白皮書
Demand ShapingDemand shaping is commonly thought of in terms of demand manipulation. This paper provides an extended version of demand shaping that helps organizations understand the dynamics of both supply and demand.
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文章
Big data and global developmentFind out how organizations are using online and mobile data to make the world a better place. The United Nation's Global Pulse team defines global development and explains how big data can help improve human welfare.
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Skip the fire drillsStop reinventing the wheel each time someone in your organization rings an alarm bell. Think people, process, technology and culture if you want to create repeatable models.
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The advanatges of an analytics cultureGen. Colin Powell and SAS experts focus on the topic of culture and how to change an organization’s DNA to meet the challenges of this brave, new analytics world.
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What coaching a new driver and developing an analytics culture have in commonEight lessons that apply equally to nurturing an organization's analytics culture and instructing a young driver how to safely navigate the open road.
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10 tips for analytics successDo some crystal-ball gazing with Thornton May, a futurist with some bright ideas on how you and your organization can succeed in all your analytics endeavors.
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Components of an information management strategyBefore starting a data management strategy for your business, you need to understand each component. Data expert David Loshin breaks them down.
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How police forces can use data to prevent crimePolice need to be given better access to data that will drive actionable intelligence and free up time to concentrate on investigating crime on the front line rather than dealing with time-consuming administrative tasks behind the scenes
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Why your brain needs data visualizationData visualization software gives you fast answers to your toughest question. In just minutes or seconds. On the fly. Find out how.
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10 design elements to consider before building an analytical model -
白皮書
The Analytics MandateBased on interviews with more than 90 executives, this research paper examines how organizations can step up their analytics game by rethinking their organizational culture. Readers will learn how leading companies have improved their decision making with analytics, as well as actions they can take to develop a stronger analytics-based culture.
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From lab to lifeOnce you've created your analytical model, you need to put it to use. Here are tips from finance industry experts to get your models in the hands of users.
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白皮書
Big Data, Analytics and HadoopSAS and Hadoop are natural partners. Hadoop provides distributed storage and processing power. SAS treats Hadoop as just another data source and complements it with data management, data discovery and advanced analytics. This conclusions paper highlights two ways you can work with Hadoop data from within a familiar and interactive SAS Analytics environment – either with the graphical user interface of SAS® Visual Statistics or streamlined programming via SAS In-Memory Statistics for Hadoop.
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Using Hadoop as an Analytics CatalystLearn how to get the most out of Hadoop by developing a sound strategy for analyzing data in this new storage environment.
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Analytics drives innovation -
白皮書
Fast and Furious: Big Data Analytics Meets HadoopConclusions paper from a presentation at the 2014 Strata Santa Clara big data conference, in which two SAS data experts demonstrated new ways of gaining insights from big data at speeds that will redefine how organizations solve complex problems.
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Analytics at the edgeStreaming data from automobiles, medical devices, location apps and other "things" lives at the edge of the network, where it can be used to monitor existing conditions and evaluate future scenarios. Learn how organizations in multiple industries are finding opportunity in analyzing this data from the Internet of Things.
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Lessons from the trackDoes your organization have an analytics DNA? Here's a baker's dozen of tips for building a healthy, happy data-driven enterprise that can go the distance.
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白皮書
Choosing New Slots? Here’s a Game-Changer.This conclusions paper presents highlights of a SAS webinar showing how a unique combination of data profiling, statistical forecasting and optimization can improve slot floor performance, utilization and patron satisfaction.
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白皮書
SAS Analytics and Open SourceExplore how organizations balance open source solutions along with commercial software to meet the requirements for statistical analysis, both within their organizations and externally with regulatory bodies.
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白皮書
The Analytic EnterpriseMaking sense of enterprise data takes the right people with the right skills - and a solid strategy. This paper outlines what successful organizations do to make data work for them.
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白皮書
Unleashing the Power of Text Analytics for Travel Discover how text analytics can improve the way your travel organization runs its business – from marketing to operations to revenue management.
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Data-driven health careDiscover the world of data-driven healthcare as we explore some inspiring stories of how healthcare providers are using big data analytics to tackle global health issues.
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白皮書
Getting Value From Your Data ScientistsSimply hiring expensive data scientists isn’t enough. To create real business value with data scientists, top management must learn how to manage them effectively.
Based on a survey of more than 300 analytics professionals (of which about one-third were self-described data scientists) working in different types of US companies, this report describes:
· Why data scientists differ from other types of analysts.
· Seven steps to managing data scientists for business value.
· How analysts and data scientists view their work and their place in the organization.
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文章
Are you ready for your smart car?The Internet of Things presents a multitude of opportunities for the smart, connected car. And it has changed personal transportation forever.
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白皮書
The Use of Open Source is Growing. So Why Do Organizations Still Turn to SAS?This conclusions paper summarizes a session at the 2014 Hadoop Summit presented by Brian Garrett, Principal Solutions Architect at SAS Institute Inc. titled, “With the Rise of Open Source, Why Organizations Still Turn to SAS.” In it, he explains why corporate analytics requirements are best served when companies run both SAS enterprise-class analytics solutions and open source solutions together. Garrett explains how these technologies meet different needs and co-exist well. He also highlights recent SAS software enhancements that allow analysts to incorporate R algorithms into analytic processes as part of a comprehensive, enterprise-class SAS analytics platform.
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白皮書
Closing the OODA Loop: Using Big Data and Analytics to Improve Decision MakingCompress decision cycles and operate proactively by assessing and clearly defining goals and timelines before applying analytics to your most valuable data.
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Trial, not errorClinical trials contribute heavily to the cost of bringing new medicines to market. INC Research is helping its customers control those costs by using analytics to forecast patient enrollment in trials.
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白皮書
Looking Inside SAS® Forecast StudioOrganizations depend on statistical forecasting to provide a solid foundation for many important planning and decision-making processes. SAS Forecast Server, which comprises a graphical user interface (SAS Forecast Studio) and the statistical forecasting engine (SAS Forecast Server Procedures), facilitates and speeds the forecasting process by providing a convenient, user-friendly interface to the large-scale automatic forecasting, model building and time series exploration capabilities available in SAS.
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白皮書
Recommendation SystemsIn this paper, Wayne Thompson, PhD, Manager of Data Sciences Technologies at SAS answers common questions about the types of recommendation systems used today, who uses them and why, and the advantages of using them for businesses today. He also delves into how the underlying technology typically works, with a special focus on SAS capabilities and benefits.
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Making sense of streaming data in the Internet of ThingsThe Internet of Things has changed our lives forever. Read about how streaming data in IoT works, and why it has caused such a shift in the analytics world.
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Big data and the Internet of Things: Two sides of the same coin?Big data and the Internet of Things are converging. Tamara Dull explains the relationship between the two terms and how they differ.
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Three reasons reporting and analytics projects fail and how to avoid the pitfallsLearn how to deal with three potential risk areas before you dive into a reporting and analytics project.
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白皮書
In-Memory Analytics: Get Faster, Better Insights from Big DataThis QA with Tapan Patel, Global Product Marketing Manager at SAS, provides a great overview of in-memory analytics.
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Intelligence for actionFind out how three different government agencies are using analytics to deter threats, combat crime and protect the public.
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Intelligence for actionFind out how three different government agencies are using analytics to deter threats, combat crime and protect the public.
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系列
Meet the data scientist: Alex HerringtonAlex Herrington decided he wanted a career in data because he liked the idea of using numbers to figure out things. Now he’s a data scientist at a US retailer.
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系列
How to get the most value from your data scientistsHiring data scientists isn’t enough. This excerpt from an MIT Sloan report offers advice on how to best manage these analytic professionals.
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白皮書
Forecast Value Added Analysis: Step-by-StepThis paper discusses how the forecast value added (FVA) metric can be used to identify waste in forecasting processes and expose factors that diminish accuracy. The author provides detailed instruction on using FVA: from gathering data, to conducting analysis, to effectively reporting the results to management. He also discusses the real-world results of FVA analysis at companies from a variety of industries.
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系列
Meet the data scientist: Manuel David GarciaWhile he did study statistics, operations research and relational marketing, Data Scientist Manuel-David Garcia's "real school" came from on-the-job-training.
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Empty shelves: The retail analytical talent deficitIf you already have an analytics team, you know how hard it is to attract and retain top talent. If you're trying to build a team, here are some ways to find (and keep) the analytical experts you need.
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系列
Preparing a new generation for leadership in a big data worldWords of wisdom from university leader Dr. Michael Rappa on the role data scientists play, tips for hiring them and how to make the most of this career path.
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9 questions on in-memory analyticsWith in-memory analytics, data is stored on the disk but read into memory for faster analytical processing. What does this mean for your business? And how can you benefit? Find out the answers to these and other questions.
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The OODA LoopApplying the military’s OODA Loop (observation, orientation, decision and action) to data helps organizations decide and act more quickly. That equals victory in today’s business wars.
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系列
Meet the data scientist: Victor FangLike many in Silicon Valley, Victor Fang has been a data scientist since before the title was coined. Read this analytical professional's Q&A.
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Same processes, significantly better yieldWith analytics, Murata Manufacturing obtains one view of data from across multiple sensors, components and factories, improving production yield.
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Sensing a disturbance in the dataAs IoT data unites with event stream processing (ESP), these combined forces will automatically sense data pattern deviations and trigger immediate response.
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Hiring? We have the data scientist interview questions you needUse these data scientist interview questions to recruit someone with a range technology skills and a knack for communicating complex subjects to a variety of audiences.
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The intersection of modern IT and advanced analyticsThornton May explains how IT groups are helping the business use analytics to adapt to the C-suite's need for a modern, agile and results-focused IT function.
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客戶案例
Businesses seek students with an analytics edgeAfter NMIMS introduces predictive analytics into the curriculum, postgraduate students become better prepared for career opportunities.
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客戶案例
Child support agency uses analytics to provide better options for parentsCalifornia’s Orange County Child Support Services uses analytics from SAS to empower caseworkers to help parents make decisions that benefit their children.
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Why you should care about episode analyticsThe future of value-based health care requires a better understanding of how patients are treated for thousands of conditions. Only episode analytics can uncover the insights payers and providers need.
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系列
Meet the data scientist: Steve EinbenderFind out how Steve Einbender lobbied his analytics skills into a data scientist gig at Home Depot and launched the company’s Advanced Analytics Center of Excellence.
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文章
3 things you need to know about event stream processingAs more data is generated from the Internet of Things, more of it will be analyzed as it is streaming. Learn how to analyze streaming data – and how it differs from traditional analysis.
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系列
Tracking down answers to your questions about data scientistsDo you need a data scientist? Want to be a data scientist, or improve the skills you already have? Check out our Insights series.
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Why pharmaceutical firms are investing in real-world evidenceTo get a compound or device to market – bench to bedside – may be an eight- ,12- or even 15-year process. Real-world evidence has a critical role at every step, particularly in the clinical trials process.
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客戶案例
Municipality puts wireless water meter-reading data to workTown of Cary, North Carolina uses SAS Analytics to analyze data from wireless water meters, assess demand, detect problems and engage customers.
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訪問
How does one of the largest cities in the world use data for social good? From data privacy to data quality, what are the challenges in using data for social good, and how does one large organization in New York City address them? Hear from a research scientist at the Center for Innovation through Data Intelligence about the data they have, the questions they ask of it, and the data they’d like to see in the future.
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客戶案例
Forecasting helps Wescom Credit Union save millions of dollarsWescom Credit Union increases lending decision accuracy by at least 50%.
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Introduction to machine learning: Five things the quants wish we knewMachine learning is gaining momentum thanks to bigger, more complex data sets. How does it work? Kimberly Nevala from SAS Best Practices explains what it is by focusing on what it isn't.
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白皮書
What Makes a Data Scientist Great?A collection of interviews with top data scientists, who talk about problem solving, creative approaches to data, tenacity and the surprising importance of relationships.
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Turning the analytical talent gap into an analytical talent dividendHow important is analytical talent to your organization? If you’re aiming to become data-driven and turn data into insights, make it a top priority.
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白皮書
Optimize Your Launch Sequence StrategiesThis white paper explores how the SAS® solution for launch revenue optimization enables global pricing teams to simulate and optimize launch timing and pricing decisions based on the predicted effect on global revenue.
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10 ways analytics can make your city smarter From child welfare to transportation, read 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
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Unlocking the real value of the IoTWhen you hear Internet of Things, you think connected cars and wearable devices -- but the IoT's greatest impact will likely come on the factory floor. Shahram Mehraban, a Director in Intel's Internet of Things group explains.
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Streaming data: The ins and outs of this technology buzzwordLearn what streaming data is, why it matters to your business and how it relates to big data, event stream processing, data management and the IoT.
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訪問
Using data to control unruly hotel pricingKelly McGuire of SAS has packaged everything hoteliers need to optimize pricing and maximize revenue into one neat book.
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影片
Tips for hiring and managing data scientistsIs it time to hire a data scientist? What skills should you look for? John Taylor leads a team of data scientists and shares his top tips in this short video.
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客戶案例
Conservation efforts take flight with analyticsThe Royal Society for the Protection of Birds uses SAS to help safeguard wildlife.
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A framework for analytics governanceFind out why governance is the critical last mile for analytics – and learn what you can do to make sure all your analytics projects are accurate, aligned and worthwhile.
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客戶案例
Better reporting yields better understanding of risk managementSAS Visual Analytics helps Erste Bank Croatia tackle diverse data for accurate analysis.
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Your personal data scientistImagine pushing a button on your desk and asking for the latest sales forecasts the same way you might ask Siri for the weather forecast. Find out what else is possible with a combination of natural language processing and machine learning.
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Making desert living cool and comfortableSalt River Project uses SAS to minimize generator downtime and anticipate future demands on the power grid.
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Applying machine learning to IoT dataLet’s move beyond theoretical discussions about machine learning and the Internet of Things – and talk about practical business applications instead.
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How Walmart makes data work for its customersTips from the world's largest retailer on building an infrastructure that makes data work for its 240 million weekly customers.
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How to find and equip the citizen data scientists in your midstCitizen data scientists are challenging the status quo and looking at data in new ways. Learn how to recognize, reward and train these analytical minds to benefit the business.
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系列
Data drives destinyUS community colleges need to train 11 million more skilled workers by 2025. Karen Stout, CEO, Achieving the Dream, explains how data can make it happen.
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系列
Data drives destinyUS community colleges need to train 11 million more skilled workers by 2025. Karen Stout, CEO, Achieving the Dream, explains how data can make it happen.
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系列
Data drives destinyUS community colleges need to train 11 million more skilled workers by 2025. Karen Stout, CEO, Achieving the Dream, explains how data can make it happen.
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白皮書
Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
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客戶案例
Generating power – and more value for customersODEC accurately forecasts energy needs, keeps rates low for members with SAS Energy Forecasting.
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The future of embedded analyticsYou can find embedded analytics in fraud detection systems, cybersecurity solutions and many other areas. Learn how the use of embedded analytics is evolving.
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白皮書
Beyond the Hype: The Hard Work Behind Analytics SuccessWhy competitive advantage from analytics is declining and what to do about it
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Establishing a roadmap for government data analytics takes less time than you think Public sector groups need a strategy before taking on government data analytics. Learn how to get the most from your data.
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Internet of things applications across multiple industriesLearn about existing Internet of Things applications in five industries, and get advice on how to develop your own Internet of Things applications.
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Advancing student success through better data analysisDes Moines Area Community College uses analytics and data visualization to help students prosper in the classroom and beyond.
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Stopping the Zika virus: The potential of big data, analyticsHow do you stop global outbreaks? The answer may be in the data about the disease and how it spreads.
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Five ways to approach analytics differentlyGo beyond the conventional, the insane and the dabbling. Here are 5 ways to rethink how you do analytics.
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訪問
A brave new world of analyticsMike Frost from SAS explains how a modern analytics platform can help make sense of the new, complex data reality.
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白皮書
IoT in Retail: Engaging the Connected Customer How do you make your brick-and-mortar stores as smart as your website so when customers walk in the door, you recognize them and cater to their individual tastes? Learn the key to making in-store shopping as frictionless for your customer as online shopping.
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How researchers are fighting cancer with analyticsThanks partly to analytics, cancer survival rates are higher, treatments are more personalized and cancer research continues to expand.
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A culture of evidenceTransforming US community colleges starts with analyzing the data that you have. Learn how leading schools are building an analytics ecosystem.
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Exploring the sun with big dataResearchers working for NASA are using automatic, exploratory and visual analysis of big data to help understand the mysteries of our universe.
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Become a strategic business partner using analytics in financeCollecting, validating and reporting information is no longer enough for finance professionals – it’s time to transform your role using analytics in finance.
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電子書
Your guide to bridging the analytics skills gap This e-book pulls together five customer interviews to explain where analytics skills are needed in different industries (from journalism to insurance to government). The customers explain how to provide training and cultural changes to support analytics careers.
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Could APIs provide advanced analytics for the masses?Find out how APIs could make advanced analytics more prevalent and open up entire new markets to using the predictive capabilities of analytics.
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電子書
Four Use Cases Show Real-World Impact of IoT This TDWI e-book explores in detail what IoT means and how different industries are taking advantage of it.
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客戶案例
University uses analytics to ensure student successWestern Kentucky University uses data visualization and advanced analytics to make informed decisions.
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客戶案例
Changing the conversation about behavioral healthSan Bernardino County uses data management and advanced analytics to improve care and address misconceptions.
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Coming soon: The Industrial Internet and IoT standardsFrom smart farms to connected water meters, the IIoT party is happening – with consensus around IoT standards playing host.
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Broken promises? Avoid IoT traps with an analytics platformHow can you realize the promise of the Internet of Thing? By using an analytics platform to sense, understand and act on streaming data.
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Smart cities, smart energy solutions – thanks to the IoTFind out how Envision America and CPS Energy are using the IoT and analytics to make cities smarter and transform energy programs.
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系列
Women in analytics: Susan Thomas, GM FinancialWhen Susan Thomas graduated with a technical degree in the 80s, everyone assumed she'd teach. Instead, she became a coder and programmer.
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Practical advice for better business forecastingCheck out three short videos with simple, practical advice for improving business forecasting at your organization.
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An executive’s guide to cognitive computingCognitive computing is the latest buzzworthy term that everyone seems to be talking about in the technology industry. But can machines really think?
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See IoT industry examples in actionHow can analytics unlock the limitless possibilities in the Internet of Things?
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5 IoT applications retailers are using today The Internet of Things can bring big benefits, but what is IoT and how are retailers taking advantage of it?
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Analytics for all, all in one placeFrom Python to R and SAS to Spark, bring all of your analytics packages together with one trusted platform for analytics governance.
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Better alignment of incentives: Helping cure data analytics in health careHealth care organizations are beginning to use analytics to make better decisions. Learn how better incentives can make the process work faster.
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電子書
Innovation driven by strategyFrom curing diseases to studying the sun, innovative uses of analytics are changing the world. Download this e-book to see where tomorrow’s technologies are happening today. You’ll find out how analytics technologies are being used for cybersecurity, machine learning, the Internet of Things and more. If you’re looking for inspiration, see where this e-book takes you.
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Analytics for prescription drug monitoring: How to better identify opioid abusePrescription drug monitoring programs (PDMPs) are a great start in combating abuse of prescription drugs, but they could be doing much more. Better data and analytics can inform better treatment protocols, provider education and policy decisions – and save lives.
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IoT: The next best thing to reading your customer’s mindConstant streams of data from myriad devices and sensors is what IoT is all about. But how are organizations using it to better customer experiences?
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Use of data visualization and analytics in education is growingEducators use analytics for education to make better decisions on programs, student outcomes and more. Learn how you can, too.
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系列
Women in Analytics: Susan Weidner, IntrinsiQ Specialty SolutionsPractical advice for women interested in pursuing a career in analytics. Mentors were key for Weidner, now a Senior VP at IntrinsiQ Specialty Solutions.
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Equifax uses trended data to better qualify loan applicantsMachine learning for credit scoring has helped Equifax analyze consumer data over time to determine which borrowers are trending in a positive direction and develop a more accurate measure than credit scores.
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When One Size No Longer Fits All - Electric Load Forecasting with a Geographic HierarchyIllustrate step-by-step how utilities forecasters can take advantage of hourly or sub-hourly data from millions of smart meters by using new types of forecasting methodologies
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白皮書
Workforce AnalyticsThis paper explores how government HR functions can use advanced analytics, machine learning and AI to develop effective plans to meet hiring, retention and performance goals.
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#Data4Good: Treating cancer, one patient at a timeDrawing on her experience as a cancer patient, Susan Weidner devotes her career to helping oncologists identify personalized treatments based on massive amounts of data.
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5 Challenges for IoT in the insurance industryIoT promises to substantially reduce losses in the insurance industry, but adoption is low. That will change when the industry overcomes these five challenges.
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白皮書
Improve Customer Experience with Actionable Artificial Intelligence While more marketers turn to artificial intelligence technologies, this new territory also raises more questions. This paper offers a detailed look into how AI works, and explores the opportunities and challenges it presents.
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When it matters: Safeguarding your organization from the insideWith evolving threats, fraud detection technologies have to be flexible and nimble, and automated risk detection is a crucial component of decision advantage.
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Student lands dream job with help from SASA strong partnership between the University of Alabama and SAS put Cameron Jagoe on a path that led to his dream job with US Bank.
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How to add analytics to your application development pipelineHow can you improve time to market for apps, improve analytics inside apps and let app developers focus on what they do best? With an open analytics platform.
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訪問
5 questions about open analytics Learn how one analytics team uses a combination of open source and enterprise analytics to find innovative solutions to complex problems.
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Analytic simulations: Using big data to protect the tiniest patientsAnalytic models help researchers discover the best way to care for babies in the NICU, saving lives (and millions of dollars) in the process.
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5 leadership tips from a four-star generalGeneral Michael Hayden, former Director of the CIA, shares what he's learned about managing organizations in times of stress, risk and complexity.
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白皮書
IoT success depends on data governance, security and privacyThe IoT puts intense demands on the data management life cycle. Learn from 10 common mistakes organizations have made with IoT endeavors.
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白皮書
BI, Analytics, and the Cloud: Strategies for Business AgilityCloud BI and analytics
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Governed analytics and discovery: Balancing business user and IT needsTDWI provides seven steps for balancing IT governance needs with the expanding use of self-service BI and data discovery tools.
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客戶案例
Telstra calls on SAS to keep customers engagedAustralia’s largest telecommunications company relies on SAS Analytics to better understand customers’ needs and develop the products and services they want.
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白皮書
The Connected InsurerExplore the opportunities IoT creates, the barriers to its adoption within the insurance industry, and what’s needed to fully exploit the potential of IoT for competitive advantage and growth.
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AI 為你佈下嶄新的社會安全網AI帶動國家機器轉型。從社會福利資源的分配、兒童毒品上癮、火警預測到法律扶助，政府與非營利組織都會是這場新興科技運動參與者。
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當超前部署成常態，國內醫療體系如何繼續立於不敗?2020年從開春動盪至今，幸而台灣在公衛與醫療體系的超前部署，讓我們得以領先全球，進入後疫情時代，努力踏上復甦之路。但展望未來，超前部署之外，國內醫療體系是否能藉此次衝擊更完備體質，迎接下次不可預期的大流行，或將這次應戰的動能反饋在優化日常營運上?
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當超前部署成常態，國內醫療體系如何繼續立於不敗?2020年從開春動盪至今，幸而台灣在公衛與醫療體系的超前部署，讓我們得以領先全球，進入後疫情時代，努力踏上復甦之路。但展望未來，超前部署之外，國內醫療體系是否能藉此次衝擊更完備體質，迎接下次不可預期的大流行，或將這次應戰的動能反饋在優化日常營運上?
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體驗SAS文字分析的樂趣：IALP論文集的質化分析 -
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How openness can supercharge event stream analyticsWhat does openness do for event stream analytics? David Loshin shows how it helps you speed and govern the full streaming analytics life cycle.
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白皮書
Leadership and Big Data InnovationA Harvard Business Review Key Learning Summary
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白皮書
Approachable Analytics With SAS® Web Solutions See how SAS Web solutions enable rapid prototyping of new analytic solutions.
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白皮書
The Connected Customer: The Why Behind the Internet of ThingsBlue Hill explores the key traits associated with supporting the connected customer through the internet of things, and provides guidance on why the internet of things will be essential across the general business landscape.
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白皮書
Portrait of a CAOOur latest eBook is an interview and blended profile of a government agency’s first Chief Analytics Officer. While the profiled CAO is fictitious, the ideas, processes and strategies within the book are real and proven. And although the industry focus is government, the eBook offers insights on the challenges and experiences of the CAO in any industry.
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電子書
Improving Customer ExperienceEveryone makes better decisions with easy access to powerful, interactive analytics – no matter the size of the business. This e-book profiles seven organizations that are using self-service data visualization and exploration to make big improvements in the way they work.
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系列
Women in analytics: Katherine Sanborn, Kellogg CompanyA recent college graduate who mentors and coaches incoming interns shares her advice for the newest generation of analytics professionals.
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Student growth measures show the way to educational successStudent test scores don’t tell the whole story about how students are performing. Educators are finding new ways to measure progress.
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白皮書
Channeling Streaming Data for Competitive AdvantageDiscover how and why innovative companies are transforming business operations by using streaming analytics to extract meaning from live data streams as data is created, and automate reactions to it with millisecond response times.
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Women in analytics: Elisa Gois, MGM ResortsElisa Gois, Chief Analytics Officer for MGM Resorts, went from social work to the C-suite. Here are her top four tips for a successful career in analytics.
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電子書
白皮書
Tomorrow's telcoCSPs spend more than 50 percent of their budgets on growing their networks, but few use analytics to guide capacity-planning decisions. Studies and surveys show that churn is a direct result of CSPs not knowing their customers well. How can CSPs learn to do more with less? The answer is advanced analytics.
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白皮書
Analytics as a Source of Business InnovationCompetitive advantage from analytics is changing, and for the better. For the first time in four years, MIT Sloan Management Review found an increasing ability to strategically innovate with analytics based on interviews with more than 2,600 practitioners and scholars globally.
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Can data sharing lead to cancer discoveries?Clinical trials can bring new drugs – and new hope – to the market for cancer patients. Now, a new data sharing platform for clinical trial data brings even more hope.
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白皮書
Data Visualization TechniquesA picture is worth a thousand words – especially when you are trying to find relationships and understand your data – which could include thousands or even millions of variables. This paper takes you from the basics of charts and graphs to visualizing big data using SAS Visual Analytics.
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白皮書
Better Forecasting With Next-Generation Demand ManagementThe multitude of forces affecting the relationship between demand and supply are set to expand their influence. Smart leaders will take advantage of the flood of digital data to better understand those forces to make more accurate and predictive supply chain decisions.
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5 steps to sustainable GDPR complianceFollow these steps to achieve GDPR compliance by the May 2018 deadline – and get added benefits along the way.
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Three C’s of the connected customer in the IoTTo optimize the connected customer experience, Blue Hill Research says organizations should build an IoT model based on three key features.
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白皮書
The Key Factors Driving IoT SuccessWith the support of SAS, the Internet of Things Institute developed the Internet of Things ROI Research Study to gather real-world insights, lessons learned and future guidance from current users of IoT technology and advanced analytics.
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電子書
The Non-Geek's A-to-Z Guide to the Internet of ThingsThis A-to-Z guide includes 101 common terms related to the Internet of Things.
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白皮書
The Next Analytics Age: Machine LearningWhat management and leadership challenges will the next wave of analytic technology bring? This SAS-sponsored Harvard Business Review Insight Center on HBR.org went beyond the buzz to talk about how machine learning will change companies and the way we manage them.
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白皮書
The Next Analytics Age: Artificial IntelligenceWhat management and leadership challenges will the next wave of analytic technology bring? This SAS-sponsored Harvard Business Review Insight Center on HBR.org went beyond the buzz of what machine learning can do, to talk about how it will change companies and the way we manage them.
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白皮書
Building a Foundation for HR Analytics Valuable insight into what it takes to build HR analytic competency from scratch.
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訪問
What’s powering the digital economy? The analytics economy. From the digital economy to the app economy, technology is changing the way we do business and manage resources. Find out how the analytics economy can help you make the most of your data resources.
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5 machine learning mistakes and how to avoid themMachine learning is not magic. It presents many of the same challenges as other analytics methods. Learn how to overcome those challenges and incorporate new techniques into your analytics strategy.
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白皮書
Redefine Your Analytics Journey With Interactive Data Exploration and Predictive AnalyticsWhat if your analytics journey were easier? It can be, in five easy steps. Learn how SAS Visual Analytics and SAS Visual Statistics together can provide a fast, fun way to explore data, build models and find the best performer.
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People analytics: Make smarter decisionsWith deep insights gained from people analytics, HR leaders can become trusted, strategic advisers to hiring managers and the executive team.
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白皮書
Utility analytics in 2017: Aligning data and analytics with business strategyTo better understand organizational readiness for analytics and key areas of analytic priority in this diverse business landscape, SAS conducted an industry survey. The survey explored the issues and trends that are shaping how utilities are deploying data and analytics to achieve their business goals.
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白皮書
SAS® in the Open EcosystemAnalytics professionals can create, experiment, test and deploy analytics using different methods, languages and skill sets – within one cohesive platform – while IT can easily govern all analytical assets in a centralized manner and scale big data processing power as needed.
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訪問
The University of Alabama makes better decisions through education analyticsAt the University of Alabama, the Office of Institutional Research and Assessments uses analytics and data visualizations to uncover better student outcomes.
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白皮書
Cognitive Computing: Analytics and BeyondWith the addition of text and sentiment analytics, predictive modeling and sentiment prescriptive analytics, analytics has taken another leap forward. This paper, by Sue Feldman of Synthexis, explains how cognitive computing helps you understand ambiguous problems while adding accessibility to data for more users.
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Concussion: Journalist crunches the numbers and breaks a scandalHow Pulitzer Prize-nominated journalist Alan Schwarz used his stats background to achieve the most remarkable feat in sports journalism history.
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不用說，我都能懂!「機器學習」給零售業的新解方近期談及零售業的轉型，總是浮現幾個令人興奮的名詞:O2O(Online to Offline)、虛實整合、新零售，還有美、中兩大電子商務平台紛紛開設實體商店等訊息。零售產業生態被翻轉攪動，這波浪潮鼓動了一股企業朝向擁有數位實體通路兼備、持續擴大與消費者接觸點的策略。
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資訊超載時代，何不雇個智慧書僮為你擴增溝通力!資訊超載已成這世代的常態，社群與自媒體平台更是加速每位消費者的訊息產出量，如何在漫天的資訊裡利用「文字分析」敏銳地挖掘並解讀顧客及其社群的喜好、觀點，進一步掌握群體的脈動，成為近日企業面對市場溝通策略的新顯學。
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白皮書
TDWI Navigator Report: Predictive AnalyticsPredictive Analytics
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Forecasting 101Organizations spend much time and money searching for a magic formula for the perfect forecast, yet still get bad forecasts. But it doesn't have to be this way. This paper provides a summary of a webinar in the SAS "Applying Business Analytics" series that discusses how businesses can achieve better accuracy and forecasting efficiency by understanding the nature of demand patterns and where the forecasting process is adding value — or not.
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白皮書
Assessing Your Business Analytics Maturity: Eight Metrics That MatterSAS conducted a benchmark survey of more than 260 US companies across all industries to determine each organization’s proficiency across the key metrics. The results of this survey are presented in this paper to provide guidance for short- and long-term efforts needed to enhance analytical effectiveness.
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白皮書
The Power of CollaborationThis white paper explains the need for and value of the collaboration and self-service capabilities that SAS Visual Analytics and SAS Office Analytics provide. It provides how-to specifics for incorporating SAS Visual Analytics results with Microsoft Outlook, Excel, PowerPoint, Word and SharePoint with plenty of screen shots, explanations and architecture diagrams for IT.
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What is omnichannel analytics?Omnichannel analytics used to mean recognizing and marketing to customers across all channels. Now, smart retailers know it can, and must, mean so much more.
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客戶案例
The right fit in all the right waysLevi Strauss & Co. crafts better customer experiences through big data and analytics.
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白皮書
Using Big Data to Enable the Omnichannel Retail ExperienceAs trends in consumer buying patterns continue to evolve, retailers need solutions that can derive deep data analytic insights to provide a more sophisticated, centralized view of their customers’ preferences and buying journeys.
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The future of IoT: On the edgeFrom cows to factory floors, the IoT promises intriguing opportunities for business. Find out how three experts envision the future of IoT.
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電子書
Doing good with government dataFrom child welfare and public health to combating prescription abuse and improving education, analytics is improving government programs around the world.
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Machine learning for beginners and beyondWhether you’re an experienced data scientist or a machine learning beginner, you’ll appreciate these 10 tips for getting started with machine learning.
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The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
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電子書
Why choose a career in analytics?Why are analytics careers so hot? A few years ago, a Harvard Business Review article by Thomas Davenport, “Data Scientist: The Sexiest Job of the 21st Century” brought analytics as a career choice into the mainstream. Then there was a recent McKinsey study that predicts 3 million big data jobs will need to be filled in the US alone. Businesses, governments and nonprofits all use analytics every single day. To make decisions. Make a difference. And do more with less. Read this e-book to see where a career in analytics could take you. Your dream job awaits.
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訪問
IoT in manufacturing: Voices from the fieldThe Internet of Things (IoT) is a transforming the manufacturing industry. Learn how the concept of connected devices can power smart manufacturing.
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Using big data to predict suicide risk among Canadian youthSuicide is the second leading cause of death among youth in Canada. Here's how big data and analytics can be used to help identify at-risk teens.
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Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
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白皮書
Statistics and Machine Learning at ScaleDiscover how machine learning can be applied to a variety of applications, and learn about the techniques required to help computers learn from massive amounts of data.
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客戶案例
Analytics turns service repair data into cost savingsAmerican Honda turns to SAS to help make sense of warranty and service data.
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白皮書
Accelerating the Path to Value with Business Intelligence and AnalyticsBI and Analytics Accelerating Value
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Trends in Marketing Analytics: Intro to Artificial Intelligence & Machine LearningFind out what you need to know about these new technologies and how they can help you make data- and metrics-driven marketing decisions.
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客戶案例
Achieving academic and operational excellence through business intelligenceCurtin University uses SAS Visual Analytics to provide reporting across the organization.
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Artificial intelligence, machine learning, deep learning and moreArtificial intelligence, machine learning and deep learning are set to change the way we live and work. How do they relate and how are they changing our world?
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IIA research identifies barriers to business intelligence and analytics adoptionFind out what the biggest barriers are to business intelligence and analytics adoption and how to overcome them.
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白皮書
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processingadvanced analytics, artificial intelligence, machine learning, natural language processing
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Proactive detection – A new approach to counter terrorTo counter terror, investigative teams can better utilize the data they already have by applying a fresh approach with these steps to proactive detection.
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白皮書
The Internet of Things: Marketing’s Opportunities and Challenges Learn how marketers can apply event-based marketing and real-time marketing capabilities to capitalize on IoT data in the moment by pinpointing significant customer events, which then trigger real-time customer decisions. The result? Best offers delivered in real time, given the consumer’s current context.
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Fraud detection and machine learning: What you need to knowMachine learning and fraud analytics are critical components of a fraud detection toolkit. Here’s what you’ll need to get started – from integrating supervised and unsupervised machine learning in operations to maintaining customer service while defending against fraud.
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Keeping an open mind about open analyticsSome of the smartest data science teams are using SAS alongside open source analytics. Find out how you can use both and deploy all models consistently.
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客戶案例
Optimizing bus routes helps funnel cost savings back to schoolsBoston Public Schools uses SAS Analytics to consolidate stops, improve student experience and save money.
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電子書
Quality 4.0 Impact and Strategy Handbook Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership.
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Improve child welfare through analyticsWith tremendous potential for child welfare agencies to use data and analytics to prevent child abuse and improve outcomes for children and families, child welfare advocates discuss the benefits of using data and establishing a data-driven culture to advance practice and policy.
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白皮書
Sales & Marketing Report 2017 - The Digital ExperienceCGT’s Sales & Marketing Report 2017, sponsored by SAS, looks at progress on several key topics, including supply chain, trade promotion, direct-to-consumer marketing, data and analytics, security and the digital enterprise.
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IoT challenges in the connected supply chainThe IoT Is set to revolutionize supply chain management, but there are certain challenges it must overcome first. Here’s what you need to know.
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Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility ServicesLearn how automakers and their partners are using IoT data and analytics to help them reshape business models, seize new sources of revenue and develop inventive ways to better serve customers.
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Connected vehicles: IoT steers a new direction for OEMsWith IoT and analytics, automakers and their partners can reshape business models, find new ways to monetize data and serve customers better.
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案例分析
Thwarting disruption with strategic investments in innovationNational Australia Bank turns to innovative strategies, like hackathons, to find new solutions to emerging challenges.
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白皮書
Thirsting for Insight? “Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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文章
The connected consumer: IoT's impact on the future of retailThe IoT and the connected consumer are set to revolutionize retail. Here are a few ways companies can take advantage of technology advancements.
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電子書
Out in the open with analyticsLearn how businesses in multiple industries are combining the benefits of SAS and open source analytics, integrating disparate code and information to deploy models and deliver critical results.
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2018年技術趨勢的兩大共性也許在2018年，我們將不再只把AI視為「人工智慧(Artificial Intelligence)」，而將它作為一種「輔助資訊(Assistive Information)」技術。
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AI marketing: What does the future hold?AI marketing uses artificial intelligence and analytics to improve marketing results while enhancing customer experiences through real-time personalization.
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白皮書
Using Analytics to Improve Customer EngagementThe MIT Sloan Management Review's eighth annual Data & Analytics Global Executive Study and Research Report has released its latest findings regarding organizational use of analytics. Innovators continue to glean analytical insights, noting the use of data from multiple sources including customers, vendors, regulators and, in some cases, competitors.
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How to improve your AI marketing skillsMarketing teams can use current AI capabilities to enhance their efforts around campaign automation, dynamic pricing based on forecasting models, and by providing more relevant, real-time customer offers.
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Analytics enable companies to provide superior customer experience in telco businessToday in a smartphone driven world telecoms need to develop new business strategies and solutions that answer customer demand and support tech innovation.
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白皮書
Machine learning and artificial intelligence in a brave new worldMachine learning in the last few decades has given way to an AI revolution. From self-driving cars to virtual assistants, learn more about the endless possibilities for these developing technologies.
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白皮書
Modern manufacturing’s triple play: Digital twins, analytics and the Internet of ThingsTechnologies to recreate a digital version of some of the world’s most complex machines are a new source of opportunity for analytics and the Internet of Things. From use by NASA to manufacturers worldwide, equipment can be monitored from anywhere in the world and beyond.
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白皮書
Bridging The IoT Perception Gap: Information vs Operational TechnologyFuturum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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Using data to change the worldApplying data science for social good has led to new and creative ways to address issues related to education, poverty, health, human rights, the environment and more.
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白皮書
The impact of data and analytics on local governmentGlobally, data and analytics usage for local governments is on the rise. From planning to operational impact, municipalities benefit from data-driven decision making and data sharing. And the ultimate winners are its citizens, offering better use of taxpayer funding and improved living conditions.
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電子書
How Can Retailers Satisfy Today's Customers? With omnichannel analytics, you can use all the data you’re collecting on multiple channels, combine it with product data to improve all retail operations, while also improving the customer experience.
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白皮書
The Risks and Rewards of AIExploring the rise of AI, Harvard Business Review has published a collection of articles assessing the opportunities and pitfalls that could evolve, with discussions on the innovative uses of data and analytics, industry adoption, impacts to human work, and the factors of business change.
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白皮書
Leveraging data successfully for developmentThe Economist Intelligence Unit conducted a survey of global data scientists and professionals on their use and interest in data analytics. One of the key themes from the research was the desire to improve development using data – ranging from policymaking to education and health care.
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Five questions to help bridge the analytics gapEveryone is turning to analytics for a competitive edge. But the real advantage is in using analytics as a tool for exploration and innovation.
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系列
Use education dashboards to publicize the value of analyticsHow can education institutions show the effectiveness of their analytics and visualizations? Think about publicizing your key dashboards.
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系列
Meet the data scientist: Kristin CarneyWhen Kristin Carney graduated with a BS in mathematics, she wasn't sure what she wanted to do with her degree. That’s when she began researching data science.
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系列
Meet the data scientist: Daymond LingDaymond Ling believes the right personal traits are more important than technical skills when it comes to being a successful data scientist.
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系列
Meet the data scientist: Colin NugterenData scientist and CAO Colin Nugteren says while every day is different, one thing remains the same. He ends each day with SAS® Visual Analytics.
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Inside sports analytics: Ten lessons for business leadersPost "Moneyball" many sports teams take a highly analytical approach to winning, and there are several important lessons that businesses can learn. These 10 tips come from research Thomas H. Davenport conducted on more than 25 professional teams.
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系列
Tips for making the most of your analytics softwareEducators need insights from their data. Learn how to harness big data in education using analytics software.
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白皮書
Improving disaster response efforts through dataThis article explores the use of data and analytics in areas of social and economic development, including disaster management. The article was created with data from a survey by The Economist Intelligence Unit of data scientists and professionals in the public and private sectors globally.
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您的AI還在沙盒裡嗎？ 那些說已獲AI成效的企業做了什麼？人工智慧(Artificial Intelligence, AI)的發展持續擴增經濟型態，舉凡企業、政府與各新創公司無不趨之若鶩，宣示插旗。在2018年7月，一份國際調查報告 (註) 中，過半(51%) AI早期採用者的組織表示部署 AI 「獲得實質成效」，79%認為「分析技術」在其中扮演「重大」角色。
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台灣製造業再戰 10 年新標配：AIoT 如何助力工廠從自動化邁向智慧化 -
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迎向開放銀行第三階段，佈局「智慧中台」實現場景金融打造消費者無縫接軌的體驗，讓金融業迎來開放銀行的潮流，紛紛佈局未來的開放銀行第三階段，透過智慧中台，能協助金融業實現場景金融。
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趨勢觀察／保險業接軌IFRS17 把握數位轉型契機國際會計準則IFRS17即將於2023年生效，台灣預計於2026年上路，儘管距今仍約有五年的準備時間，但由於涉及的準則要求、財報的大幅變動，以及細緻的資料準備，造就保險公司不僅需要以「分組、模組化」方式管理保險合約，更要在有限的時間內實現每月的報告內容。
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AI如何改寫保險業機遇？迎向2030年保險業未來趨勢AI科技為保險業帶來快速改變，從保險科技（InsurTech）到法遵科技（RegTech），遊戲規則轉變，迎向2030年的保險新頁，保險業者如何勾勒完整的智能架構藍圖，因應挑戰？
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線下轉線上，企業的極速轉型！對有實體店面的零售業、餐廳及銀行分行來說，從線下轉到線上數位通路的經營是唯一的出路。然而經營數位通路絕非只是在 Google 或臉書下廣告就能創造營收，如何在流量導引到自家網站後，即時分析客戶行為，依照喜好給予最佳商品推薦，才是創造下單成交的關鍵。
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後Cookie時代，以AI打造「客戶決策平台」追緊消費者足跡疫情加快數位轉型的腳步，讓全世界意識到數據蒐集的重要性，過去我們同步仰賴第三方cookies跨網站追蹤，然而，隨著消費者隱私意識逐漸覺醒，與GDPR及個資保護法規日益嚴格，至2022年底前，瀏覽器將會陸續停用第三方cookies。
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疫情再襲零售業的備戰之道:如何提高需求預測準確度?對零售業來說，現今最重要的事，就是增加營收、降低因為疫情而造成的業績衝擊。然而要實現這個目標，光靠發放折價卷或提供購物優惠等方式還不夠，零售業必須從根本做起，提高需求規劃的精準度，才能真正從疫情衝擊中恢復，並建立日後若再面臨類似衝擊時，可以從容應對的能力。
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為何已導入 AI，營運效率還是 NG？讓 AI 上雲提升企業數位韌性 -
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資料科學家還在自己做資料清理與特徵工程？怎麼不讓 AutoML 來幫你！ -
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大和證券活用SAS AI科技 強化營業提案能力商品購買率提升2.7倍證券EBM更上一層樓。日本大和證券為了活用AI等科技強化提案能力並提升業務效率，設立了AI推動處。另外透過活用SAS系統，實現了根據客戶分析結果提供業務員最佳行動方案。
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反洗錢大作戰，看AI如何助攻！隨著亞太洗錢防制組織（APG）抵台正式展開評鑑，反洗錢這個議題也再度躍上檯面，成為台灣金融圈熱烈討論的話題。如何善用新型態機器學習技術來防制可疑洗錢交易，也成為金融業引進智能科技的新型態手法。
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白皮書
From chaos to coherence: Managing pandemics with dataBased on a survey by The Economist Intelligence Unit on the use of data and analytics, professionals in the public and private sectors around the world viewed health care as the industry with the greatest potential to benefit from data analytics. In fact, the global sharing of health care data means most are optimistic about preventing future pandemics, and they want businesses to work closer with government entities to share health care data for the greater good.
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What do drones, AI and proactive policing have in common?Law enforcement and public safety agencies must wrangle diverse data sets – such as data from drones – in their proactive policing operations. To be most effective, they need modern tools that support AI techniques like machine learning, computer vision and natural language processing.
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白皮書
How to Do Deep Learning With SAS® Get an introduction to deep learning techniques and applications, and learn how SAS supports the creation of deep neural network models.
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白皮書
Text Analytics for ExecutivesThis paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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研究
Nerd in the herd: protecting elephants with data scienceA passionate SAS data scientist uses machine learning to detect tuberculosis in elephants. Find out how her research can help prevent the spread of the disease.
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白皮書
Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics SAS, Hortonworks and Intel can help you embrace technologies and processes to anticipate a wide range of customer needs, providing the foundation for next-generation customer experiences.
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白皮書
Drive Next-Generation Performance With Real-Time Connected Manufacturing This special report sponsored by SAS, Intel and Hortonworks explores how manufacturers are capitalizing on the promise of the IoT, creating new value streams and revolutionizing the relationship with markets.
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3 steps for AI ethicsWill artificial intelligence benefit humanity or usher in a series of unintended consequences? AI ethics may be one way to ensure artificial intelligence is used for good.
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白皮書
Machine Learning With SAS® Enterprise Miner™Learn how SAS modelers prepared data and applied different machine learning techniques to create and identify the most accurate model for predicting churn using KDD Cup data.
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白皮書
Securing Your IoT Solution StackLearn why IoT solutions are so difficult to secure, what's needed to secure each layer of the IoT stack, and how SAS uses software like SAS Event Stream Processing to secure the applications layer.
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Machine learning and artificial intelligence in a brave new worldWhat is the interplay between man and machine in a brave new world with AI?
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Wanted: AI leadersDo you have what it takes to be an AI leader? In this growing field, people skills, innovation and ethics are more important than expertise in artificial intelligence technologies.
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白皮書
Machine Learning Use Cases in Financial CrimesLearn 10 proven ways machine learning can boost the efficiency and effectiveness of fraud and financial crimes teams – from data collection to detection to investigation and reporting.
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Big data in government: How data and analytics power public programsBig data generated by government and private sources coupled with analytics has become a crucial component for a lot of public-sector work. Why? Because using analytics can improve outcomes of public programs.
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Analytics startup focuses on health care optimizationAnalyzing vast amounts of data is key to optimizing health care outcomes, improving patient satisfaction and lowering total costs.
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白皮書
Charging Ahead with EV AnalyticsThis white paper from Navigant Research, sponsored by SAS and Intel, explores the analytics infrastructure that is needed to prepare for and benefit from the growth of EVs
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白皮書
Edge Computing Index: From Edge to EnterpriseThe Futurum Research survey was conducted to identify attitudes toward edge computing, adoption and deployment data. It also investigated investment intent and trends or points of friction related to this topic. All respondents in the survey were in roles of influence for edge computing investment decisions.
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Seven tips for creating a self-service BI governance strategySelf-service BI and IT governance – sometimes the two seem at odds. Can they coexist peacefully? Live happily ever after? TDWI thinks so. They offer seven tips for creating a strategy that works for both.
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白皮書
What Management Must Know About ForecastingExplore why forecasts are often wrong and learn about ways to improve them.
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白皮書
Artificial Intelligence for ExecutivesThis paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
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GDPR and AI: Friends, foes or something in between?The GDPR may not be best buddies with artificial intelligence – but GDPR and AI aren't enemies, either. Kalliopi Spyridaki explains the tricky relationship between the two.
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客戶案例
Using artificial intelligence to better engage with customersDaiwa Securities uses analytics and machine learning from SAS to better meet customer needs.
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白皮書
Keys to robust credit risk modeling and decisioning for better customer experienceModernizing and automating the end-to-end process for origination and servicing – from data management to model development to credit decisions – can reduce credit losses and boost performance. This paper explores how infusing machine learning into this process supports more effective credit decisions for individuals, products or portfolios.
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Game-changing technologies turn IIoT data into goldThe real value of IoT lies in its data. Maciej Kranz says technologies like edge and fog computing, machine learning and AI can unlock the hidden value in data from the IIoT.
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電子書
Using data to change the worldIt’s clear that data has the power to transform businesses and entire industries, but can it also change the world? When you combine passion and curiosity with analytics – the answer is yes.
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白皮書
SAS®: A Comprehensive Approach to Big Data Governance, Data Management and AnalyticsSAS puts you in charge of burgeoning big data governance issues. See how in this paper by Sunil Soares.