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- E-BOOK Public procurement integrity at riskFraud, waste and abuse (FWA) take many forms, from duplicate invoices, ghost vendors and fake invoices to overbilling billing for goods. Bad actors exploit loopholes in procurement processes. They exploit the government’s inability to connect the dots between the data to see the bigger picture. What’s more, complex, decentralized procurement processes leave room for errors and abuse. Deceptive and inefficient practices drain government resources – both employees and taxpayer funds. Many departments and agencies are realizing the significance of the funds lost to procurement FWA and are setting up ethics, counter-fraud and governance missions to address the challenge. Learn more about: - The procure-to-pay lifecycle. - Obstacles to spotting FWA. - How to strengthen government procurement. - What's possible in the real world. - How a data and AI-driven approach leads to greater productivity.
- E-BOOK The Streaming Analytics Scaries: What they are and how to get over themThis e-book addresses the top five factors holding back most asset-intensive companies when it comes to implementing and taking advantage of streaming analytics. Read it, put the scaries to rest, and start delivering more value and insight in ways few in your organization may have ever thought possible.
- 분석 보고서 IDC MarketScape: Worldwide Machine Learning Operations Platforms 2024
- 백서 Solving the public services productivity puzzleIn Global Government Forum’s survey, 91% of public service respondents said they face a productivity challenge, with 56% characterizing it as significant or very significant.
- 분석 보고서 ARC View: Industrial-grade AI: Transforming Data into Insights and OutcomesThis ARC View report explains how organizations can not only start realizing immediate returns from their Industrial AI initiatives, but also ensure that their investments remain future-proof.
- E-BOOK Public service of the futureNever before have governments been asked to do so much, so fast, while facing considerable pressures – rising customer service expectations, fiscal constraints, overstretched organizations and workforce fatigue. Technologies like AI and generative AI are shifting the limits of what is possible – enabling fresh ideas about how public sector organizations can deliver services and helping to rethink what services are offered. From national to local government, law enforcement to health and defense to education, great strides are being made to deliver better outcomes and experiences. In this e-book, you will discover six considerations for improving productivity and ensuring public servants have the time to focus on what matters. Here's a sneak peek: · How do different demographics engage with public services and how do you serve everyone? · Are traditional processes meeting your organization’s needs? Would updating and modernizing help you achieve increased operational efficiency? · How AI is a catalyst for organizational transformation.
- 고객 사례 Quality forecasting for grocers, quality products for customersCalimax elevates product quality and availability with SAS for retail demand planning.
- 분석 보고서 SAS is a Leader in The Forrester Wave™: AI / ML Platforms, Q3 2024
- 분석 보고서 IDC MarketScape: Worldwide Decision Intelligence 2024
- 백서 Pioneering Ethical AI: The Crucial Role of Property and Casualty InsurersInsurers have long been global leaders in addressing risks and protecting people and businesses. As artificial intelligence continues to revolutionize how business gets done, it is redefining how insurers can deliver on their promises. Read this paper to learn from industry veterans and AI experts alike about: • The state of AI regulations globally. • The multifaceted role insurers can play in developing AI ethics. • Why insurers are uniquely qualified to use AI (and GenAI) – and how they’re using these technologies today. • An approach to an ethical AI framework that any insurer can follow to establish their own AI narrative.
- 고객 사례 Leading cruise line personalizes passengers’ onboard experience in real timeNorwegian Cruise Line Holdings uses SAS to transform onboard experiences for passengers with prompt personalized communications
- 고객 사례 Preparing the workforce of tomorrow with innovative data science educationHow North-West University’s strategic partnership with SAS is transforming South Africa's workforce and setting a new standard for global analytics training
- 백서 How to realize value from cloud analytics faster — and with less cost and riskIn just a few years’ time, analytic and AI models have gone from being on-premises “pet projects” and proofs of concept to high-volume mission-critical technologies developed and deployed in the cloud to support business decisions at scale. But as Foundry’s survey reveals, most IT departments haven’t evolved how they will support and enable the new world of cloud analytics at scale.
- 분석 보고서 2024 Gartner® Magic Quadrant™ 데이터 사이언스 및 머신러닝 부문
- 고객 사례 Award-winning bank’s data-driven strategy boosts productivity, efficiency and customer centricityAn ‘analytics for all’ approach helps Banca Intesa Beograd foster informed decision making, innovation and sustainable growth.
- 백서 Top 5 insurance problems – and AI isn’t one of themAs all players in the insurance ecosystem know – insurers to reinsurers, GSIs and regulators – the industry faces a multitude of daunting business problems today. In this paper, we discuss five of the most pressing insurance problems, how they affect communities around the world, and obstacles that can get in the way of solving those challenges. Read the paper to learn how insurers can use AI to identify and solve far-reaching issues. And learn why it will take the entire insurance ecosystem to course correct on business results, climate risk, AI safety and governance, and more.
- 고객 사례 AI helps students graduate from collegeHillsborough (FL) Community College uses SAS® Visual Analytics to determine what students need to complete their degrees
- 기사 What are AI hallucinations?Separating fact from AI-generated fiction can be hard. Learn how large language models can fail and lead to AI hallucinations – and discover how to use GenAI responsibly.
- E-BOOK Rising Waters and Rapid ResponsesGet an insider’s view of the tools and strategies that some leaders in flood management are already deploying to better protect their citizens, as well as case studies that show how these approaches work in real-world applications.
- 고객 사례 Banking on the power of data: The analytical approach to trust, performance and productivityIntesa Sanpaolo promotes a data-driven culture with support from SAS analytics.
- 기사 What are chatbots?Chatbots are a form of conversational AI designed to simplify human interaction with computers. Learn how chatbots are used in business and how they can be incorporated into analytics applications.
- 고객 사례 Modern, real-time marketing grew membership and incremental sales for leading grocery retailerMigros uses SAS MarTech solutions to personalize customer journeys, optimize campaign strategies and enhance customer engagement.
- 고객 사례 French fintech modernizes its analytics approach with SAS ViyaAs UTWIN’s insurance business grows, SAS Viya enhances efficiency and democratizes analytics among management, business teams and partners.
- 백서 How will generative AI influence forecasting software?Delve into what potential applications of AI, particularly large language models (LLMs) within a forecasting support system (FSS), along with identifying obstacles to the widespread adoption of these technologies.
- 고객 사례 Jakarta Smart City uses IoT analytics to better serve residentsJakarta and SAS team up to create an award-winning approach to public services and disaster management.
- 고객 사례 French national rugby team boosts performance with AI and analyticsThe French Rugby Federation counts on intelligence gleaned from SAS Viya on Microsoft Azure to guide coaching decisions and enhance player performance.
- 기사 4 strategies that will change your approach to fraud detection기술의 발전에 힘입어 금융 기관들은 그 어느 때보다 우수한 사기 탐지 기능으로 무장하고 있습니다. 방어망를 대폭 강화할 수 있는 4가지 방법을 소개합니다.
- 고객 사례 고객 사례 Advanced analytics helps policymakers determine how new tax measures would affect citizensAscertaining the ‘winners’ and ‘losers’ of potential tax changes before regulations are implemented.
- 분석 보고서 SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.The Forrester Wave™: AI Decisioning Platforms, Q2 2023 recognizes SAS for seamlessly integrating world-class analytics for decisioning.
- 고객 사례 Optimizing cancer patient care with advanced analyticsSAS Viya helps create custom care pathways for Oscar Lambret Center cancer patients.
- 고객 사례 Automated safety reporting protects hospital patients in NorwayHelse Nord uses SAS to automate its hospitals’ processes and halves their workload.
- 백서 Making the case: The ROI of demand managementThis paper shows how to determine the value of improving the credibility of the demand plan. Several templates are included to help in quantifying and documenting the return on investment.
- 분석 보고서 SAS Inside Intelligence 2023 ConferenceThis IDC Link focuses on SAS' responsible innovation initiative and the importance of building trust, transparency and information privacy in machine learning and AI life cycle technologies and applications.
- 고객 사례 Taking the guesswork out of production planningEuramax uses SAS to prevent production delays
- 고객 사례 Advanced analytics in the cloud helps international biopharmaceutical group enhance operations and efficiencyChiesi Group uses SAS Viya to analyze information in a collaborative platform, streamline processes and efficiently deliver trial results to regulatory authorities.
- 고객 사례 Hospitals save time and money with real-time medical device tracking Jan Yperman Hospital uses Blyott and SAS Visual Analytics on SAS Viya to monitor hospital asset locations and ensure optimal purchasing decisions.
- 고객 사례 Making connections through high-quality data to enhance public safetyThe West Virginia Fusion Center uses SAS Law Enforcement Intelligence on Microsoft Azure to manage data, share information and help agencies solve and prevent crimes.
- 기사 Analytics leads to lifesaving cancer therapiesA long-shot treatment offers hope to 10-year-old Harrison after he learns the DNA profile of his cancer is resistant to chemo. Find out how data and analytics play a role in cancer research and cancer treatments that are saving lives.
- 분석 보고서 IDC MarketScape: Worldwide MLOPs Platforms 2022 Vendor AssessmentSAS is positioned in the Leader's category in the 2022 IDC MarketScape for worldwide machine learning operations platforms.
- 분석 보고서 IDC Spotlight: Looking Beyond the AI Model to Improve the Value of Computer Vision in Manufacturing OperationsThis IDC Spotlight explores the increasing adoption of computer vision (CV) by manufacturers, and how in order to succeed, they must focus on more than just model development, validation and deployment. SAS delivers a comprehensive portfolio of tools, software and resources – integrated into SAS Viya – to develop and deploy CV solutions.
- 분석 보고서 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.
- 고객 사례 Just add data: How data and technology — paired with a human touch — create a sustainable and quality culinary experienceBarilla, the world’s largest pasta manufacturer, uses advanced analytics and AI to track global inventory and optimize orders and deliveries to meet surging demand.
- 고객 사례 Improving data collection and modeling to accelerate predictive medicine effortsDompé farmaceutici uses SAS for predictive analytics and quantitative disease modeling.
- 기사 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.
- 고객 사례 Making buildings – and business – more secure with analytics and AIIndustrial company Comelit Group harnesses the power of SAS Viya 4 to modernize how decisions are made, combining the most successful analytics and AI platform with the flexibility and scalability of the cloud.
- 분석 보고서 SAS Explore 2022 Review and AnalysisThis IDC Link focuses on several SAS announcements supporting faster time-to-value for AI/ML model-driven businesses.
- 고객 사례 Nudging students and school districts toward unimagined successMichigan’s Anchor Bay and Armada Area school districts use SAS EVAAS for K-12 to encourage students and educators to dream bigger and achieve higher.
- 기사 Analytics tackles the scourge of human traffickingVictims of human trafficking are all around us. From forced labor to sex work, modern-day slavery thrives in the shadows. Learn why organizations are turning to AI and big data analytics to unveil these crimes and change future trajectories.
- 고객 사례 Enhancing road safety with advanced analyticsBelgium’s FPS Justice uses insights from SAS Visual Analytics to crack down on excessive speeding and take more effective action against traffic violators.
- E-BOOK Make Every Voice Heard with Natural Language ProcessingNatural language processing: The communication link between human and machine intelligence.
- 분석 보고서 Maximizing Innovation in Digitally Maturing Process ManufacturingThis report outlines the roadmap that digitally maturing process manufacturers must follow to identify and build the core competencies needed to use transformation as a competitive advantage.
- 분석 보고서 Advanced Analytics Excellence In Discrete ManufacturingThis paper explains how advanced analytics helps discrete manufacturing achieve operational excellence, including potential benefits, the capabilities an organization needs, and how the organization can align with this approach.
- 고객 사례 Ensuring public transparency and one-stop access to crime data and analysisThe North Carolina Criminal Justice Analysis Center uses SAS Viya on SAS Cloud to improve data accessibility and efficiencies in gathering and reporting state and county criminal justice statistics to stakeholders, policymakers and citizens.
- 백서 Hosted managed services for SAS® technologySAS provides hosted managed services designed to provide faster and easier deployment options for SAS technologies. This white paper reviews the fundamentals of this capability.
- 고객 사례 Making prisons and communities safer with data visualizationIowa Department of Corrections uses SAS Viya on SAS Cloud to better manage supervised populations, make informed decisions and improve public safety.
- 분석 보고서 IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor AssessmentLearn why SAS is positioned in the Leaders category in the 2022 IDC MarketScape for worldwide responsible artificial intelligence for integrated financial crime management platforms.
- 기사 Are you good at scoring?Credit scoring is the foundation for evaluating clients who apply for a loan (or other types of exposure for the bank). It is not unusual for it to take up to 12 months to build and deploy a new credit scoring model. Reforming the process will help minimize losses, increase earnings and reduce operational risk.
- 기사 Analytics: A must-have tool for leading the fight on prescription and illicit drug addictionStates and MFCUs now have the analytics tools they need to change the trajectory of the opioid crisis by analyzing data and predicting trouble spots – whether in patients, prescribers, distributors or manufacturers. The OIG Toolkit with free SAS® programming code makes that possible.
- 기사 Viking transforms its analytics strategy using SAS® Viya® on AzureViking is going all-in on cloud-based analytics to stay competitive and meet customer needs. The retailer's digital transformation are designed to optimize processes and boost customer loyalty and revenue across channels.
- 고객 사례 One of the largest multi-sport clubs in Portugal aims to win big with analyticsSport Lisboa e Benfica modernizes its operations with SAS Analytics, as it looks to expand internationally.
- 고객 사례 Norway’s largest telecommunications, media and technology provider adapts to rapidly changing customer expectations using a hybrid cloud approachTelenor relies on SAS Viya on Azure and SAS Customer Intelligence 360 to provide fast, personalized customer service based on real-time analytics.
- 분석 보고서 The Total Economic Impact™ Of SAS Viya On AzureMicrosoft and SAS commissioned Forrester Consulting to conduct a Total Economic Impact™ study and examine the potential return on investment enterprises may realize by deploying SAS Viya on Azure.
- 고객 사례 Analytics helps major public health system run efficient programs and improve patient careThe Los Angeles County Department of Health Services relies on advanced analytics from SAS to meet federal regulations, ensure financial viability and better serve a diverse population of more than 10 million people.
- 고객 사례 Protecting nature with dollars and senseThe Nature Conservancy uses SAS Customer Intelligence 360 to modernize its marketing strategy and maximize donations for a more sustainable planet.
- 고객 사례 Putting IoT data from connected vehicles to workIveco Group uses SAS Viya on Amazon Web Services to improve vehicle design and remote diagnostics for its trucks.
- 고객 사례 Fintech company’s rapid growth leads to consistent cloud strategyauxmoney saves resources, gains flexibility and scalability with risk management in the SAS Cloud hosted on Microsoft Azure.
- 고객 사례 유통업체인 Workplace Solutions는 데이터 기반 마케팅을 통해, 매력적인 고객 경험을 만들었습니다.Office Depot Europe은 SAS Customer Intelligence 360을 디지털 혁신의 중심에 두어 변화를 주도했습니다.
- 분석 보고서 Data-Driven Grid Reliability: IoT Sensing and Analytics to Enable Predictive Maintenance and Improve ResiliencyLearn how the emergence of artificial intelligence, IoT sensors, advanced analytics and predictive maintenance within utility distribution systems can significantly improve reliability and build resiliency in the power grid.
- 분석 보고서 dbInsight: SAS Viya is living large on AzureLearn how Azure provides the onramp to a new customer base to take advantage of SAS capabilities without having to make big enterprise software commitments.
- 고객 사례 Integrated marketing improves results for marketers and customersDigital insurance company InShared uses SAS Customer Intelligence 360 to improve services and extend personalized offers.
- 고객 사례 Analytic models spotlight risky loansItaly’s Ministry of Economy and Finance uses advanced analytics on SAS Viya to quickly calculate risk on financial guarantees.
- 고객 사례 Managing mergers and analytics: Ensuring reliable energy by eliminating riskWhen the Belgian grid operators Eandis, Infrax and Integan merged into Fluvius, the new company turned to SAS for an analytics solution to screen its procurement systems and identify risks at an early stage.
- 고객 사례 SAS Viya and open source: Innovation through collaborationHealth insurer Techniker Krankenkasse works with SAS to build innovative pattern recognition capabilities.
- 분석 보고서 Matrix: Leading Fraud & AML Machine Learning PlatformsSAS is a best-in-class vendor in the most recent Datos Insights report, Matrix: Leading Fraud & AML Machine Learning Platforms.
- 고객 사례 Italy’s second-largest hospital uses advanced analytics for effective pandemic responseGemelli University Hospital uses SAS solutions to predict admissions of patients in the intensive care units and impacts on the organization, from staffing hospital wards to effectively scheduling and managing COVID-19 vaccine administration.
- 고객 사례 Building reliability in riskBanca Mediolanum uses SAS Viya to develop high-performing, reliable credit scoring models.
- 기사 Detect and prevent banking application fraudCredit fraud often starts with a falsified application. That’s why it’s important to use analytics starting at the entrance point. Learn how analytics and machine learning can detect fraud at the point of application by recognizing the biggest challenge – synthetic identities.
- 고객 사례 A customer connection is the special ingredientItalian olive oil company Fratelli Carli uses SAS Customer Intelligence 360 to create an integrated, personalized customer experience.
- 고객 사례 Finland’s top retail bank applies AI to improve customer service and credit scoringS-Bank provides better customer service and faster, more accurate loan processing time using SAS Viya on Azure.
- 고객 사례 Azure 환경에서 SAS Viya를 통해 디지털 혁신을 추구하는 그리스의 선도 금융 기업Leading Greek financial institution pursues digital transformation backed by advanced analytics to become the bank of choice for businesses and private individuals.
- 고객 사례 Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyondTelefónica Ecuador accelerates digital transformation, improves campaigns and achieves growth via intelligent decisioning powered by SAS.
- 고객 사례 A healthier planet through bioscience innovationThe world’s most sustainable biotech company, Chr. Hansen, uses SAS Analytics to develop effective, natural probiotics for animal health, enabling farmers to produce high-quality, safe food for global consumers.
- 고객 사례 Transforming steelmaking through IoT analyticsSSAB improves production efficiency, product quality and maintenance strategies using sensor data, artificial intelligence and advanced analytics.
- 기사 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.
- 고객 사례 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.
- 고객 사례 Transforming the consumer banking experience through advanced analyticsCIMB Singapore uses SAS Viya to enhance business operations and keep pace with changing customer needs.
- 고객 사례 Predictive analytics helps save lives during COVID-19 pandemicFPS Public Health uses SAS to forecast hospital bed occupancy, predict infection rates and ensure sufficient medical staffing during global health crisis.
- 고객 사례 Delivery company relies on analytics to optimize logistics and swiftly meet changing marketplace dynamicsRelais Colis reinvents itself during global pandemic using SAS Visual Analytics to ensure continuity of business and quality of service.
- 고객 사례 Predictive analytics empowers bank to act quickly with confidenceOTP Bank Romania can better assess risk, meet profitability targets and enhance customer satisfaction through a streamlined data mining process from SAS.
- 웨비나 What Are Current Challenges and Opportunities in Analytics?Learn about the analytics process model.
- 고객 사례 Analytics helps ensure fair and balanced pay structures across Sweden’s public sectorTietoEVRY and SAS partner to help Sweden's largest employer organization, Adda, offer a nationally aggregated salary planning tool for municipalities and regions across the country.
- 고객 사례 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.
- 고객 사례 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.
- 고객 사례 Advanced simulations and ‘stress-proof’ models help digital bank successfully navigate uncertain scenariosBanca Progetto relies on predictive analytics and a cloud-first approach to mitigate risk, better serve clients and plan for the future.
- 분석 보고서 SAS, 가트너 MQ ‘데이터 사이언스·머신러닝 플랫폼’ 부문 7년 연속 리더SAS는 ‘2020년 가트너 매직 쿼드런트: 데이터 사이언스 및 머신러닝 플랫폼 부문’ 보고서에서 비전 완성도 및 실행력을 인정받아 리더로 선정됐습니다. 가트너는 SAS의 강점으로 높은 브랜드 신뢰성, 업계 최고의 모델 운영 및 관리, 자동화된 사용 편의성 및 부가 기능 등을 꼽았습니다.
- 기사 SAS CIO: Why leaders must cultivate curiosity in 2021With the change we’re all facing this year, CIOs should be counting on curiosity to play a crucial role in how we’re going to meet the challenges that lie ahead. From the moment COVID-19 hit, our IT organization has relied on curiosity – that strong desire to explore, learn, know - to fuel the urgent changes required. And it’s curiosity that will enable us to meet the needs of the future of work post-pandemic.
- 웨비나 Getting Started With Geo Analysis in SAS® Visual AnalyticsSeeing is believing. Learn the geo analysis capabilities available in SAS Visual Analytics, available out of the box and through Esri integration.
- 고객 사례 Advanced analytics empowers businesses with data-driven decisionsThe Hang Seng University of Hong Kong uses SAS Viya to nurture next-generation analytical talent and aid small to mid-size businesses.
- 고객 사례 Travel and tourism forecasts become more accurate with analyticsDER Touristik builds web-based planning tool with SAS to better predict future demand and quickly react to changes in the market.
- 고객 사례 Solving crime in less time with analyticsDelaware State Police use law enforcement solutions from SAS to help identify suspects, crack cases and protect communities.
- 고객 사례 A data-driven approach to whole person careRiverside County relies on data integration and analytics from SAS to improve the health and well-being of vulnerable Californians.
- 기사 Load Forecasting: Ensuring supply meets energy demandLoad forecasting helps energy suppliers meet demand for residential and commercial customers. As renewable energy resources increase, the necessity for a technology platform that adapts to load forecasting requirements becomes crucial.
- 고객 사례 분석과 IoT로 홍수를 예측 및 관리하는 스마트 도시미국 노스캐롤라이나 주의 소도시 캐리(Cary)는 SAS 및 Microsoft와 협력하여 홍수로부터 시민을 보호하고, 환경친화적인 개발을 이끌고 있습니다.
- 기사 Five ways your organization can enhance resilience for years to comeInnovation, agility and customer-centricity frequently top the list of companies’ strategic objectives, and now the most urgent priority is resilience. Given this new urgency, it’s worth taking a close look at the underpinnings of resilience and how they could be applied in any industry. This article explores how analytics can help boost resilience and includes key elements to keep your organization resilient.
- 기사 Resilience in the face of unpredictabilityUnpredictability can “shatter and reshape” a society. And in these unpredictable times, it is important to remain resilient and be prepared to bounce back. This article explores what it truly means to be resilient, how to build it, and how analytics can help you act when your resilience is tested.
- 기사 Homelessness data holds insights to a hidden problemSAS partnered with The Carying Place, an organization that supports working homeless families, to find new ways to measure indicators of participant success and provide families the help they deserve.
- 기사 Finding COVID-19 answers with data and analyticsLearn how data plays a role in optimizing hospital resources, understanding disease spread, supply chain forecasting and scientific discoveries.
- 기사 How health care leaders deployed analytics when crisis hitDuring the COVID-19 pandemic, some health care providers were well-positioned to respond to rapid changes in demand. The factor that most distinguished them was that they already had a strong capacity in place for using data to inform decisions. Read about three key takeaways from their experiences.
- 기사 Situational awareness guides our responses – routine to crisisMany circumstances call for situational awareness – that is, being mindful of what’s present and happening around you. The COVID-19 pandemic heightened this need, as leaders across industries used analytics and visualization to gain real-time situational awareness and respond with fast, critical decisions.
- 고객 사례 Ensuring mental health patient safety during a global pandemicSAS delivers dashboard to monitor COVID-19 in the Copenhagen Regional Psychiatric Centers.
- 기사 A data scientist’s views on data literacyData literacy is a social imperative – and understanding data and data analysis is critical for being a responsible citizen. Get a data scientist and teacher's perspective on the value of having foundational knowledge so you can more easily tell data facts from data fiction.
- 기사 Respond, recover and reimagineDisruptions to our lives happen regularly, though most are not as far-reaching as the COVID-19 pandemic. Whatever their nature, it’s helpful to have a plan for how to exit disruption still on your feet and in the game. Learn about the three-phase approach SAS recommends for mitigating widespread disturbances.
- 기사 Contact tracing investigations for public health: Technology enhances epidemic investigationWhat was once a cumbersome process that relied on an individual’s often incomplete or inaccurate memory, contact tracing investigations for public health has entered the digital era thanks to advanced analytics and data visualization.
- 기사 From living on the streets to owning a profitable businessZoe Empowers, a ministry for vulnerable children living in life-threatening poverty in Africa and India, finally found a way to measure and reveal its incredible impact. Using SAS, they developed an "empowerment index" that measures improvements in housing, health, education and more for program participants.
- 기사 Saving lives during a global pandemic through medical resource optimizationCleveland Clinic is operationalizing analytics to combat COVID-19, creating innovative models that help forecast patient volume, bed capacity, medical equipment availability and more.
- 기사 Will health care be fundamentally changed post-COVID-19?Many market forces are supporting the transformation to virtual digital health programs -- the COVID-19 pandemic is just the latest compelling event.
- 기사 Optimizing well placement to eliminate water poverty How data visualization is helping Water for Good bring fresh water to the Central African Republic.
- 기사 5 ways to measure beehive health with analytics and hive-streaming dataThis analytical approach to understanding bee hive health can automatically alert beekeepers to changes in hive weights, temperatures, flight activity and more.
- 고객 사례 Advancing mental health care with predictive analyticsCanada’s Centre for Addiction and Mental Health uses SAS Analytics to improve care and streamline hospital operations.
- 고객 사례 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.
- 기사 How to work like a disrupterFind out what companies like Netflix, Airbnb, Spotify and Lyft know about analytics that you don't know. Learn how to become technologically and analytically mature just like them.
- 고객 사례 Revolutionizing marketing campaigns with AIAlliant relies on machine learning to create qualified marketing audiences for its clients.
- 기사 Three steps for conquering the last mile of analyticsPutting your analytical models into production can be the most difficult part of the analytics journey. It’s no surprise that this last mile of analytics – bringing models into deployment – is the hardest part of digital transformation initiatives for organizations to master, yet it’s the most crucial.
- 고객 사례 Manufacturing smarter, safer vehicles with analyticsKia Motors America relies on advanced analytics and artificial intelligence solutions from SAS to improve its products, services and customer satisfaction.
- 고객 사례 Funding for groundbreaking childhood cancer research fueled by analyticsThe Kids’ Cancer Project uses SAS to improve fundraising efforts for vital cancer research.
- 기사 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.
- 기사 Operationalizing analytics: 4 ways banks are conquering the infamous ‘last mile’Here are four examples across the banking industry that show how these leading organizations followed a clearly defined path to conquer the infamous 'last mile' of analytics.
- 기사 ModelOps: How to operationalize the model life cycleModelOps is where analytical models are cycled from the data science team to the IT production team in a regular cadence of deployment and updates. In the race to realizing value from AI models, it’s a winning ingredient that only a few companies are using.
- 고객 사례 A model of institutional research champions the value of analytics for allOklahoma State University uses SAS to create an analytics culture and increase student success.
- 기사 From Apollo to AI: A new era of American explorationAs we celebrate the 50th anniversary of the Apollo 11 mission, what’s the next frontier for American Innovation? It’s available now, from our desks and waits for us to unlock its potential.
- 기사 인공 지능의 인간미글로벌 문제를 해결하기 위해 인공 지능과 인간이 힘을 모으면 어떻게 될까?
- 고객 사례 Forecasting accuracy brings ‘new energy’ to CameroonEnergy supplier Eneo balances supply and demand to boost efficiency, save millions and improve reliability with SAS Energy Forecasting.
- 고객 사례 항공기의 중요 임무를 지원하는 AI와 IoT 분석 기술Lockheed Martin revolutionizes aircraft maintenance with the SAS Platform.
- 고객 사례 Property experts open analytics to new marketsNVM enhances real estate analytics with SAS Viya open architecture.
- 고객 사례 Boosting institutional research with data governance and self-service reportingThe University of Idaho invests in SAS to give administrators access to trusted, insight-rich data.
- E-BOOK 5 Steps to Accelerate Value From Your Industrial IoT Data This e-book features five steps industrial leaders can follow to get more value from IIoT data. It describes how to craft a comprehensive IIoT strategy, what to look for in an edge-to-enterprise analytics solution, and how to evaluate IIoT solutions.
- 고객 사례 고급 분석으로 고객 경험 개선은행들은 고객에게 더 나은 서비스를 제공하고 고객을 유지 및 확보할 수 있는 새로운 방법을 찾기 위해 도전하고 있습니다. Seacoast Bank는 SAS Viya와 SAS Visual Analytics를 활용하여 은행이 보유하고 있는 수많은 고객 데이터로부터 고객의 요구와 요구에 대한 통찰력을 얻을 수 있었습니다.
- 고객 사례 Automated laboratories improve uptime with analyticsPredictive service and maintenance keeps Siemens Healthineers lab tests running on time.
- 기사 How to drill a better hole with analyticsFrom drilling holes to preventing health care fraud, learn about some of the new technologies SAS has patented with IoT and machine learning technologies.
- 고객 사례 Advanced analytics can detect and prevent insurance fraud before losses occurYdrogios Insurance limits damage, reduces costs and shields its competitive advantage with SAS® Detection and Investigation for Insurance.
- 백서 The Artificial Intelligence of Things We’re living in a world that has more connected devices than humans. See how AI amplifies the value and potential of this fast-growing Internet of Things.
- 기사 Applying technology to ensure voter integrity in electionsVoter integrity is becoming a serious concern for many elections. Recent disclosures of foreign influence campaigns using social media highlight the potential impact on the integrity of the democratic process. In monitoring your systems, technology can identify both legitimate and fraudulent activity; the balancing act is to minimize the impact on legitimate activity while preventing acts of cyber-criminals and fraudsters.
- 고객 사례 고객 사례 IoT data with artificial intelligence reduces downtime, helps truckers keep on truckingVolvo Trucks and Mack Trucks use sensor data and SAS AI solutions to minimize unplanned downtime.
- 기사 5가지 AI 기술인공 지능과 머신 러닝의 차이점을 알고 계십니까? 컴퓨터 비전이 일종의 AI 기술인 이유를 설명할 수 있습니까? 이 짤막한 설명서에서 그 해답을 확인해 보십시오.
- 기사 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.
- 기사 IoT in health care: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened health care systems around the world – we can’t afford not to integrate IoT in health care.
- 기사 Shut the front door on insurance application fraud!Fraudsters love the ease of plying their trade over digital channels. Smart insurance companies are using data from those channels (device fingerprint, IP address, geolocation, etc.) coupled with analytics and machine learning to detect insurance application fraud perpetrated by agents, customers and fraud rings.
- 백서 The 3 R’s of AI Adoption: Refactor, Reinvent, ReimagineLearn how organizations are using AI to refactor, reimage and reinvent business as usual. Understand the relative impacts on business process, analytics and data practices, and DevOps at each level of adoption.
- 기사 A guide to machine learning algorithms and their applicationsDo you know the difference between supervised and unsupervised learning? How about the difference between decision trees and forests? Or when to use a support vector algorithm? Get all the answers here.
- E-BOOK Your data scientist hiring guideThis ebook provides a brief guide for data scientist hiring. It offers 20 interview questions, 3 data scientist profiles and tips on building a data science program. The book provides a call-to-action to the data scientist primer page.
- 백서 The Machine Learning LandscapeThis paper, for novice and intermediate data scientists, talks about the four widely recognized machine learning styles and their common uses, data and modeling methodologies, and popular algorithms for solving machine learning problems.
- 백서 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.
- E-BOOK 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.
- 고객 사례 Using artificial intelligence to better engage with customersDaiwa Securities uses analytics and machine learning from SAS to better meet customer needs.
- 백서 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.
- 백서 What Management Must Know About ForecastingExplore why forecasts are often wrong and learn about ways to improve them.
- 기사 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.
- 기사 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.
- 기사 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.
- 백서 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.
- 기사 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.
- 기사 Machine learning and artificial intelligence in a brave new worldWhat is the interplay between man and machine in a brave new world with AI?
- 백서 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.
- 기사 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.
- 백서 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.
- 백서 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.
- R E S E A R C H 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.
- 백서 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.
- 백서 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.
- 기사 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.
- 백서 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.
- 백서 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.
- 기사 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.
- 시리즈 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.
- 시리즈 데이터 사이언티스트 만나기: Kristin Carney대학에서 수학을 전공한 Kristin Carney는 졸업할 당시만 해도 공부한 지식을 어떻게 살려야 할지 확신이 들지 않았습니다. 이 때부터 그녀는 데이터 과학을 연구하기 시작했습니다.
- 시리즈 데이터 사이언티스트 만나기: Daymond LingDaymond Ling은 성공적인 데이터 사이언티스트가 되기 위해서는 기술적 능력보다 올바른 인성을 갖추는 것이 중요하다고 생각합니다.
- 시리즈 데이터 사이언티스트 만나기: Colin Nugteren데이터 사이언티스트 겸 CAO인 Colin Nugteren는 매일매일이 다르지만 한 가지 변하지 않는 것이 있다고 합니다. 바로 SAS® Visual로 하루의 업무를 마치는 것입니다.
- 기사 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.
- 시리즈 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.
- 백서 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.
- 백서 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.
- E-BOOK 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.
- 백서 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.
- 기사 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.
- 백서 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.
- 기사 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.
- 백서 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.
- E-BOOK 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.
- 백서 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.
- 사례 연구 Thwarting disruption with strategic investments in innovationNational Australia Bank turns to innovative strategies, like hackathons, to find new solutions to emerging challenges.
- 고객 사례 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.
- 백서 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.
- 백서 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.
- 기사 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.
- 고객 사례 Optimizing bus routes helps funnel cost savings back to schoolsBoston Public Schools uses SAS Analytics to consolidate stops, improve student experience and save money.
- 기사 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.
- 기사 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.
- E-BOOK Storytelling in Business: The plot, the players and the path to dynamic customer engagementTake an interactive look at how a newly appointed Customer Experience Manager (CEM) navigates his quest to create an omnichannel experience. This ebook walks through steps for building a team focused on a common goal and creation of a customer journey map. You’ll see how the CEM learns about the power of story as a communication tool to share the progress and success of the omnichannel project. It includes an interactive checklist you can use to see how storytelling is working for you.
- 기사 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.
- 백서 Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processingadvanced analytics, artificial intelligence, machine learning, natural language processing
- 기사 Location intelligence: Adding geospatial context to BI Get tips for implementing a location intelligence data strategy from industry thought leader and data explorer, Jen Underwood.
- 기사 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.
- 기사 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?
- 고객 사례 Achieving academic and operational excellence through business intelligenceCurtin University uses SAS Visual Analytics to provide reporting across the organization.
- 백서 Accelerating the Path to Value with Business Intelligence and AnalyticsBI and Analytics Accelerating Value
- 기사 Using analytics to prevent deadly infections Dignity Health’s Bio-Surveillance Program predicts new sepsis cases, allowing early intervention and saving lives.
- 백서 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.
- 고객 사례 데이터 분석을 통한 비용절감 사례미국 혼다자동차가 보증 신청 업무를 개선하고 데이터 분석을 통해서 부품과 서비스 수요를 예측, 비용을 절감한 사례를 확인하십시오.
- E-BOOK The Mechanics of StorytellingAnalogies are a powerful tool that can help an audience grasp complex ideas. This ebook uses the technique by comparing a mechanic’s journey to a storyteller’s assembly process defined by the acronym, “PARTS”: people, analytics, requirements, tools and success factors.
- 기사 빅 데이터를 활용해 캐나다 청소년의 자살 위험을 예측자살은 캐나다 청소년 사망 원인 중 두 번째를 차지합니다. 위험에 처한 십대들을 구해내는 데 빅 데이터와 분석 기술을 어떻게 활용할 수 있는지 알아봅니다.
- 기사 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.
- E-BOOK 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.
- 기사 The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
- 기사 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.
- E-BOOK 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.
- 기사 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.
- 백서 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.
- 기사 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 TDWI Navigator Report: Predictive AnalyticsPredictive Analytics
- 기사 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.
- 회견 Location analytics: Why adding where makes BI betterLearn how location analytics can enrich your BI endeavors by blending geographic data, spatial analysis and business data for deeper insights.
- E-BOOK Enrich Your Data With Location AnalyticsLocation is more than a point on a map. It is a pathway to growth and better service. Matching up location information with big and little data can revolutionize business practices. Learn more in this e-book.
- 백서 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.
- 회견 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.
- 백서 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.
- 백서 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.
- 기사 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.
- 백서 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.
- 기사 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.
- 회견 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.
- 백서 Building a Foundation for HR Analytics Valuable insight into what it takes to build HR analytic competency from scratch.
- 백서 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.
- 백서 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.
- 백서 Field Experience in Embedded AnalyticsA discussion summary from International Institute for Analytics
- 기사 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.
- 백서 Rethinking Enterprise BI to Fit a Self-Service WorldSelf-service enterprise BI best practices
- 백서 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.
- 백서 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.
- 기사 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.
- 백서 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.
- E-BOOK 백서 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.
- 시리즈 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.
- 백서 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.
- 기사 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.
- 시리즈 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.
- 백서 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.
- 백서 Approachable Analytics With SAS® Web Solutions See how SAS Web solutions enable rapid prototyping of new analytic solutions.
- 백서 Leadership and Big Data InnovationA Harvard Business Review Key Learning Summary
- 기사 Learning the art of analytical storytellingCrafting and pitching enticing data-driven stories is a vital skill to master. Here are a few tips to help you get started with storytelling visualizations.
- 기사 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.
- 고객 사례 SAS를 통해 고객 참여를 활성화하는 호주 최대 이동통신사 TelstraAustralia’s largest telecommunications company relies on SAS Analytics to better understand customers’ needs and develop the products and services they want.
- 기사 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.
- 백서 BI, Analytics, and the Cloud: Strategies for Business AgilityCloud BI and analytics
- 기사 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.
- 기사 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.
- 회견 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.
- 기사 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.
- 기사 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.
- 기사 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.
- 사례 연구 Banco Galicia launches an analytical journey: Five steps to transforming an organization기술 분야와 관련된 기업이라면, 혹은 기술업계에 종사하는 기업이라면 단순히 기술 문제에만 국한되지만은 않는다는 말을 들어 봤을 것입니다. 일반적으로 기업의 과제를 해결하기 위해서는 역량, 프로세스, 기술 및 문화가 서로 조화를 이루어야 합니다.
- 기사 #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.
- 백서 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.
- 회견 Analytics in the driver’s seat at Ford Ford Chief Data and Analytics Officer Paul Ballew on how Ford is using analytics for everything from sales and marketing to mobility and connected cars.
- 기사 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.
- 시리즈 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.
- 시리즈 Lessons learned, looking forwardHow can community colleges train the next generation of skilled workers? Karen Stout, CEO, Achieving the Dream, discusses the role of analytics.
- 시리즈 Evolving your institutional insightBig data in education can help administrators understand college applicants and students – including which ones will struggle and why.
- 기사 Value-added reporting shows the way to educational successStudent test scores don’t tell the whole story about how an education system is performing. Learn how to find new ways to measure progress.
- 시리즈 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.
- 기사 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.
- E-BOOK 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.
- 기사 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.
- 백서 TDWI Checklist Report: Gaining Business Value from Governed Analytics and Discoverydata governance
- 기사 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.
- 기사 Practical advice for better business forecastingCheck out three short videos with simple, practical advice for improving business forecasting at your organization.
- 시리즈 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.
- 기사 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.
- 기사 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.
- 기사 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.
- E-BOOK 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.
- 기사 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.
- 기사 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.
- 시리즈 A culture of evidenceTransforming US community colleges starts with analyzing the data that you have. Learn how leading schools are building an analytics ecosystem.
- 기사 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.
- 회견 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.
- 기사 Five ways to approach analytics differentlyGo beyond the conventional, the insane and the dabbling. Here are 5 ways to rethink how you do analytics.
- 기사 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.
- 기사 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.
- 기사 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.
- 백서 Beyond the Hype: The Hard Work Behind Analytics SuccessWhy competitive advantage from analytics is declining and what to do about it
- 기사 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.
- 백서 Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
- 시리즈 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.
- 시리즈 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.
- 시리즈 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.
- 시리즈 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.
- 기사 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.
- 기사 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.
- 기사 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.
- 기사 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.
- 고객 사례 보고 체계 개선을 통한 위험 관리에 대한 이해 개선SAS Visual Analytics helps Erste Bank Croatia tackle diverse data for accurate analysis.
- 기사 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.
- 고객 사례 Conservation efforts take flight with analyticsThe Royal Society for the Protection of Birds uses SAS to help safeguard wildlife.
- 동영상 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.
- 회견 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.
- 기사 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.
- 기사 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.
- 백서 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.
- 기사 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.
- 백서 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.
- 기사 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.
- 고객 사례 Forecasting helps Wescom Credit Union save millions of dollarsWescom Credit Union increases lending decision accuracy by at least 50%.
- 회견 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.
- 기사 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.
- 시리즈 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.
- 기사 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.
- 시리즈 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.
- 기사 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.
- 고객 사례 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.
- 기사 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.
- 기사 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.
- 기사 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.
- 시리즈 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.
- 기사 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.
- 기사 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.
- 시리즈 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.
- 기사 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.
- 시리즈 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.
- 백서 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.
- 시리즈 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.
- 시리즈 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.
- 백서 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.
- 기사 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.
- 기사 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.
- 기사 Can sensing cities become thinking and responsive cities?In the vision of the sensing city, sensors will gather data to monitor everything from noise levels to water use, in real time and at a very granular level. Can the resulting data be analyzed to improve the lives of citizens?
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 백서 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.
- 기사 The municipality’s analytical journeyOdense – one of Denmark’s largest municipalities – is working toward becoming more analytical, with a goal of integrating analytical thinking on every level. Learn how their efforts are improving welfare and other programs in the region.
- 백서 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.
- 기사 Twelve questions to ask your data visualization software vendorIdentify which data visualization vendor’s applications, support models, deployment options and technology platforms align with the goals of your project.
- 백서 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.
- 백서 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.
- 기사 Is your data too big to visualize?Use these tips to find new ways to look at big data, so you can quickly collapse and condense the results in an intuitive fashion.
- 백서 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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