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文章
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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文章
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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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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5 ways data monetization can inform data strategyData monetization promises more than monetary returns. Anne Buff explains how monetization drives strategy for data-driven organizations.
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访谈
The scoop on HadoopCloudera co-founder Mike Olson talks trends, changes and outlines the formula for success with Hadoop.
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文章
Public health infrastructure desperately needs modernizationPublic health agencies must flex to longitudinal health crises and acute emergencies – from natural disasters like hurricanes to events like a pandemic. To be prepared, public health infrastructure must be modernized to support connectivity, real-time data exchanges, analytics and visualization.
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白皮书
Improving Data Preparation for Business AnalyticsThis TDWI Best Practices Report discusses the latest data preparation processes, self-service options and how to effectively integrate data prep with analytics and BI solutions.
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白皮书
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
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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文章
The five D's of data preparationFrom discovering which data is best to use, to delivering it in the right format to users, learn why these 5 D’s are essential to data preparation.
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客户案例
Identifying potential trouble spotsFlorida DOC turns to SAS Analytics to help improve citizen safety.
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分析报告
SAS Explore 2022 Review and AnalysisThis IDC Link focuses on several SAS announcements supporting faster time-to-value for AI/ML model-driven businesses.
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白皮书
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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白皮书
Data Management: The Foundation for Successful Reporting and Analytics in EducationSee how effective data management enables educational institutions to generate accurate reports and analytics - and how SAS can help.
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分析报告
SAS is a Leader in The Forrester Wave™: AI / ML Platforms, Q3 2024 -
客户案例
World’s largest sports and humanitarian event builds legacy of inclusion with data-driven technologySpecial Olympics World Games Abu Dhabi uses SAS® Analytics and AI solutions to keep athletes safe and fans engaged.
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文章
What is data profiling and how does it make big data easier?Data profiling, the act of monitoring and cleansing data, is an important tool organizations can use to make better data decisions.
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白皮书
Data Management in Action: Solving Real-World ChallengesDiscover how a solid data management foundation helps you make better decisions and attain business success.
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分析报告
SAS named a Challenger in Gartner® Magic Quadrant™ for Augmented Data Quality SolutionsSAS named a Challenger in Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.
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文章
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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白皮书
Data Integration Déjà Vu: Big Data Reinvigorates DIDiscover why the latest evolution of data integration delivers more value from big data.
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文章
大数据引发的隐私讨论大数据是如何影响你的隐私？在这个不断提高透明性的危险世界中，你如何平衡隐私和安全保密？必需要展开讨论，不然就太晚了。Tamara Dull说。
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分析报告
SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022.
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文章
What is a data lake & why does it matter?As containers for multiple collections of data in one convenient location, data lakes allow for self-service access, exploration and visualization. In turn, businesses can see and respond to new information faster.
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文章
Goooooal! How data stewards score with data visualizationWhen it comes to data visualization, the role a data steward plays is not so different from that of a referee. They both enforce rules, stay true to the game, and are critical to success.
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文章
Charlie Brown's teacher speaks Hadoop. Do you?Ever felt like you and your big data specialist were speaking different languages? Learn how a non-geek can speak big data.
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白皮书
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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文章
Data quality management What you need to knowData quality isn’t simply good or bad. Data quality management puts quality in context to improve fitness of the data you use for analysis and decision-making.
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白皮书
Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
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白皮书
The General Data Protection Regulation: What It Means and How SAS® Data Management Can HelpFind out how the GDPR could affect your business and how SAS Data Management solutions can help you prepare.
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文章
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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文章
A Getting Started With Hadoop ChecklistFrom low-cost storage to distributed processing, Hadoop offers many promises. But there’s an expanding analytics ecosystem evolving around this big data platform that’s worth some study. Read our checklist and make sure you’re not overlooking anything important in your rush to get value from Hadoop.
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文章
The importance of data quality: A sustainable approachBad data wrecks countless business ventures. Here’s a data quality plan to help you get it right.
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白皮书
Revamping Data ManagementRecent IDG survey demonstrates growing need for end-to-end data management strategies as organizations mobilize against year-over-year challenges.
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文章
Data quality: The Achilles' heel of risk managementGiven the tightly regulated environment banks face today, the importance of data quality cannot be overstated. Beyond the obvious benefits of staying one step ahead of regulatory mandates, having accurate, integrated and transparent data drives confident, proactive decisions and supports a solid risk management foundation.
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电子书
On the Road to Accelerating Claims AutomationMore than ever, insurance companies need to provide customers with seamless interactions that save them time, minimize hassle, and make them feel seen, understood, and cared for. Many are also exploring the use of AI for claims prevention – for example, by creating new risk mitigation services. All of this requires investment in digital technologies that work together to enable intuitive, Amazon-like customer experiences. This ebook explores how insurers can make the leap to digitally transformed, intelligent claims processes that customers love and increase operational efficiency and reduce costs.
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文章
Key questions to kick off your data analytics projectsThere’s no single blueprint for starting a data analytics project. Technology expert Phil Simon suggests these 10 questions as a guide.
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白皮书
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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客户案例
Building a culture of analytics empowers university to lead as an educational enterpriseFrom enrollment to graduation, the University of Texas at Arlington uses SAS Analytics for Education on Amazon Web Services to aid in analysis supporting student success and campus strategic decision making.
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白皮书
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.
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客户案例
Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
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文章
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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文章
Soccer versus baseball: which is the best analogy for data governance?Is data governance more like baseball, featuring individual effort, or like soccer, where a team approach wins? Carol Newcomb evaluates the best sports analogy for data governance.
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电子书
Government navigating an uncertain worldHow governments can harness data,
advanced analytics, and trustworthy AI to
prepare for the unexpected—and respond
faster to protect and improve citizens’ lives.
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文章
Big data management: 5 things you need to knowBig data management demands new tools and processes. Learn about 5 things that can help you manage big data better and get consistent analytic results.
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电子书
Data Privacy: Are You Concerned?Report based on a 2018 survey of 525 US consumers regarding their views on data privacy in light of recent data scandals and the implementation of the General Data Protection Regulation in the EU. It's purpose is to better understand their opinions on data privacy and how it affects their behaviors and trust toward companies.
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电子书
Data Management: What You Need to Know and WhyExplores the essential building blocks of data management, including master data management, data governance, data quality, data integration and data federation.
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客户案例
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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文章
Data lake and data warehouse – know the differenceData lake – is it just marketing hype or a new name for a data warehouse? Find out what a data lake is, how it works and when you might need one.
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文章
Big data privacy: Four ways your data governance strategy affects security, privacy and trustWith IT and business strategies converging, something that’s a little late to the party is the concept of big data privacy.
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白皮书
The SAS Data Governance Framework: A Blueprint for SuccessThis white paper explains how to build a comprehensive data governance framework that encompasses all parts of the data management infrastructure.
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文章
The “problem-solver” approach to data preparationNoted technology author David Loshin explains why it's important to know what the problems are before getting data ready for analytics.
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访谈
Hadoop is the new boardroom buzzwordIn this Q&A, two Hadoop experts share what every executive needs to know.
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客户案例
Maximizing the reach and impact of an eHealth hubMedical research facility Black Dog Institute partners with SAS to support health care workers’ mental well-being.
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访谈
How do you know if you’re ready for Hadoop?Ask an early adopter. Epsilon VP of Products answers our Hadoop questions about implementation, preparation and scalability.
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文章
Data integration: It ain't what it used to beOnce limited in scope, data integration now supports analytics and data-driven operational processes like real-time insurance claims processing and IoT apps.
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文章
Chief data officer role shakes up traditional data governanceDoes every organization need someone in the chief data officer role to manage data governance?
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白皮书
Data Management for Artificial IntelligenceWhen machines learn from exposure to data, the truism of “garbage in, garbage out” for data is truer than ever. Now is the time for executives, particularly the chief data officer, to establish the data management strategy, technology and best practices to ensure success with machine learning.
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客户案例
Smart data exploration advances K-12 public education programsThe South Carolina Department of Education depends on SAS to analyze data and properly fund and serve its school districts.
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文章
Big data integration: Go beyond 'just add data'Every business-focused technology requires users to "just add data." This article by Matt Magne explores why that's not as easy as it sounds, especially in a big data age.
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文章
Data governance framework: What is it and do I already have one?A data governance framework encompasses a holistic approach to how you collect, manage and archive data.
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案例研究
Canada Post on the (careful) commercialization of dataAs a common data point across databases, address data is an integral part to any master data management strategy. It’s powerful when it’s right; frustrating when it’s not. Could Canada Post turn a seemingly ordinary data point into a profitable business line?
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文章
You don’t know me. Or do you? Data meets anthropologyLaw and medicine. Anthropology and data management. And so on. What new advances can happen when fields of study converge?
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文章
IoT: The customer experience accelerator you can't afford to ignoreIoT represents a powerful source of data that, when combined with analytics, can yield insights on everything from behavior to emotions to health. And that's why it's key to improving customer experience.
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电子书
Data Preparation Challenges Facing Every EnterpriseData preparation
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白皮书
SAS Best Practices Report: Data LakesData Lakes
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白皮书
A Non-Geek’s Big Data PlaybookThis paper examines how a non-geek yet technically savvy business professional can understand how to use Hadoop - and how it will impact enterprise data environments for years to come. The paper serves as a playbook that demonstrates six common “plays” that illustrate how Apache Hadoop can support and extend the enterprise data warehouse (EDW) ecosystem.
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白皮书
Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-EffectiveThis TDWI report accelerates users’ understanding of new products, technologies and best practices that have emerged around Hadoop. It will also help readers connect available options to use cases, with a focus on mainstream enterprise uses, while respecting proven IT practices and delivering maximum business value.
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客户案例
Transforming mental health care in California, turning data into insight California's Mental Health Services Oversight and Accountability Commission uses analytics and data management to better serve residents and increase community well-being.
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客户案例
Combating financial crime and terrorism financing with real-time sanctions screeningOrange Bank stays ahead of emerging risks and changing regulations with a cloud-based sanctions-screening solution from SAS and Neterium.
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分析报告
2024 Gartner® 数据科学与机器学习魔力象限™ -
访谈
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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文章
What was your data doing during the financial crisis?Financial institutions usually survive a crisis, then react to prevent it in the future. SAS' Mazhar LeGhari explains how data can help you break that cycle.
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文章
How to improve data prep for analytics: TDWI shares best practicesGetting good results from your data means doing a good job of preparing the data for analytics. Find out what TDWI says it takes to get there.
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客户案例
Solving crime in less time with analyticsDelaware State Police use law enforcement solutions from SAS to help identify suspects, crack cases and protect communities.
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文章
8 ways an enterprise data strategy enables big data analyticsAnalyzing big data can reveal new insights and strengthen business decisions. Here's why you need an enterprise data strategy to help you get there.
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文章
5 data management best practices to help you do data rightFollow these 5 data management best practices to make sure your business data gives you great results from analytics.
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白皮书
Self-Service Big Data Preparation in the Age of Hadoop: A Conversation with SASLearn how SAS Data Loader for Hadoop enables business users – along with data scientists and IT – to access, profile, transform and cleanse Hadoop data. The best part is, it requires minimal training and no need for coding.
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客户案例
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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文章
How do recommendation systems know what you might like?How do recommendation systems know what you’re likely to want and offer it up while you’re shopping? That’s a computationally intensive question that used to take hours or days to answer. With distributed computing and in-memory analytics, it’s done in minutes.
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文章
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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文章
I see big data. All the time. It’s everywhere.Big data is rapidly creeping into every element of our life. In this article, Tamara Dull from SAS Best Practices explores some big data examples - and how it will affect you.
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白皮书
Data is KingLearn about the benefits of building an analytical data warehouse based on an insurance-specific data model so insurance companies can gain the most out of their investment in business analytics.
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电子书
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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分析报告
IDC MarketScape: Worldwide Decision Intelligence 2024 -
文章
Personal data: Getting it right with GDPRTo learn more about the definition of personal data, why it’s in the news and why it’s being tightly regulated by laws like the General Data Protection Regulation (GDPR), we interviewed Jay Exum, Privacy Counsel at SAS.
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白皮书
TDWI Best Practices Report | Faster Insights from Faster Dataresearch report on improving speed to insight
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文章
Clear-cut big data strategy tied to strong financial performanceWondering how important your big data strategy is? Find out from this 2015 report that’s based on a survey of more than 500 global executives.
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文章
Data lineage: Making artificial intelligence smarterLear how data lineage plays a vital role in understanding data, making it a foundational principle of AI.
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文章
General Data Protection Regulation: From burden to opportunityThe General Data Protection Regulation stirs up mixed emotions, but Kalliopi Spyridaki shows how to use the new legislation for business advantage.
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文章
Hadoop in the boardroom?The Hadoop technology trend is still on the rise, with Hadoop uses moving from IT to the business units. But what about Hadoop in the boardroom? Learn why executives are discussing this disruptive technology and what they expect it to provide.
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文章
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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文章
The transformational power of evidence-based decision making in health policyState health agencies are under pressure to deliver better health outcomes while minimizing costs. Read how data and analytics are being used to confront our biggest health care challenges head on.
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文章
Hadoop survey results reveal use cases, needs and trendsHow are companies using Hadoop? Why are adoption rates still low? And why is it so important? Data professionals’ candid answers may surprise you.
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文章
Bringing data to the streamHow much do we know about fresh water systems and the dynamic nature of streams and rivers? Find out how one data scientist turned his fascination with streams and rivers into a career.
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访谈
Toyota Financial Services’ CIO is a model for change: part innovator, part gatekeeper CIO Ron Guerrier walks a fine line, gently snuffing out rogue IT activities activities without impinging on the innovation and real-time needs that drove business users to adopt them in the first place.
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白皮书
Making Sense of Hadoop and its EcosystemAn Investigation into the Evolution and Deployment of Hadoop
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白皮书
Profiling and Analytics under GDPR: Staying on the Right Side of the Regulation with Data GovernanceExplore the GDPR provisions targeting customer analytics and profiling. This paper explores how a comprehensive data governance program can mitigate compliance risks for these provisions, and introduces must-have data management technologies that can help.
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分析报告
Gartner® Top Strategic Technology Trends for 2024: AI Trust, Risk and Security ManagementLearn why IT leaders must adopt an AI TRiSM to protect their organizations and improve their business outcomes from AI models.
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文章
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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白皮书
SAS and the Hadoop EcosystemA vendor profile from The Bloor Group that refers to the full report: Making Sense of Hadoop and its Ecosystem.
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白皮书
Governments adapting to changeTop tips for shifting to an enterprise analytics strategy.
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白皮书
Best Practices for Hadoop: A Guide From SAS CustomersEase your transition to Hadoop by following these tried-and-true best practices from SAS customers.
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文章
Five steps that can save your data analytics – and help you save faceThere’s nothing more awkward than watching analysts struggle to defend their results. Even if you think your process is rock-solid, things can go awry – unless you keep these milestones in mind.
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文章
Data governance: The case for self-validationLearn why you should redefine data governance policies to empower customers to be accountable for keeping their personal data accurate, consistent and up-to-date.
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文章
Data management backgrounderFrom data integration to data quality and data preparation, find out what these terms mean and why they’re so important for your analytics projects.