INNOVATION
혁신은 접근 하는 방식에 따라 성패가 결정됩니다.
SAS는 미래를 위한 아이디어를 시작으로 더욱 원대한 목표를 실현합니다.
SAS는 평범한 혁신을 거부합니다. 깊이 있는 사고와 연구를 혁신적인 아이디어에 적용하여 비즈니스를 개선할 수 있는 Analytics Solution을 개발합니다.
We take big ideas that shape the future and make them bigger.
SAS doesn't settle for ordinary innovation. We put thought and research into ideas that matter – and then create analytics solutions that improve your business.
내일의 기술이 바로 오늘 시작되고 있습니다.
The Internet of Things
이제는 산업용 장비에서 웨어러블 기기에 이르기까지 모든 사물에 센서가 내장되어 데이터를 수집하고, 그 결과에 따라 작동합니다. SAS Analytics는 데이터에서 정보를 수집하여 실시간으로 인사이트를 발굴하는 데 효과적입니다.
자세히 보기
The Internet of Things
Everyday objects – from industrial machines to wearable devices – use built-in sensors to gather data and take action on it. SAS Analytics helps glean knowledge from that data for instant insights.
Learn more about IoT
Machine learning 기계 학습
머신러닝은 새로운 기술은 아닙니다. 하지만 빅 데이터의 등장으로 더욱 빛을 발하고 있습니다. 머신러닝 알고리즘이 데이터 패턴을 학습 한 후 새로운 데이터에서 유사 패턴의 예측이 가능해집니다. SAS의 머신러닝은 프로세스의 자동화로 정확하고 일관된 의사결정이 이루어지도록 지원합니다.
자세히 보기
Cybersecurity 사이버 보안
데이터 보안은 그 어떤 업무 보다 민감하고 중요합니다. 사이버 공격이 날로 증가하고 있는 시대에 맞설 수 있는 새로운 기술 역시 발전을 거듭하고 있습니다. SAS Analytics는 네트워크에서 의심스러운 활동을 탐지하기 때문에 사전에 조치를 취할 수 있습니다.
자세히 보기(영문)
IoT 및 스마트 커넥티드차
자동차와 자동차가 서로 통신하며 사고를 방지할 수 있다면 어떨까요? 스마트카와 IoT의 인터랙션을 소개합니다.
데이터 사이언스의 혁신
SAS 최고의 데이터 사이언티스트인 패트릭 홀(Patrick Hall)은 데이터 사이언스에 분수령이 될 획기적인 발전에 대한 전망을 내놓았습니다.
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기사
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기사
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기사
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기사
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Intelligence for actionFind out how three different government agencies are using analytics to deter threats, combat crime and protect the public.
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시리즈
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시리즈
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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.
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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.
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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.
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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.
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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.
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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.
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시리즈
7 steps for executing a successful data science strategyGet tips from TDWI for making your foray into data science a success.
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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.
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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.
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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.
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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.
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고객 사례
Businesses seek students with an analytics edgeAfter NMIMS introduces predictive analytics into the curriculum, postgraduate students become better prepared for career opportunities.
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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.
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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.
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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.
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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.
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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.
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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.
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고객 사례
Municipality puts wireless water meter-reading data to workTown of Cary, North Carolina uses SAS Analytics to analyze data from wireless water meters, assess demand, detect problems and engage customers.
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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.
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고객 사례
Forecasting helps Wescom Credit Union save millions of dollarsWescom Credit Union increases lending decision accuracy by at least 50%.
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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.
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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.
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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.
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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.
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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.
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기사
Unlocking the real value of the IoTWhen you hear Internet of Things, you think connected cars and wearable devices -- but the IoT's greatest impact will likely come on the factory floor. Shahram Mehraban, a Director in Intel's Internet of Things group explains.
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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.
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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.
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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.
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고객 사례
Conservation efforts take flight with analyticsThe Royal Society for the Protection of Birds uses SAS to help safeguard wildlife.
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Big data analytics fuels manufacturing excellence in hard disk drive industry Western Digital uses SAS Asset Performance Analytics to identify potential failures early in the production process and subsequently avoid yield excursions.
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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.
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고객 사례
보고 체계 개선을 통한 위험 관리에 대한 이해 개선SAS Visual Analytics helps Erste Bank Croatia tackle diverse data for accurate analysis.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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백서
Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
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고객 사례
Generating power – and more value for customersODEC accurately forecasts energy needs, keeps rates low for members with SAS Energy Forecasting.
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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.
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백서
Beyond the Hype: The Hard Work Behind Analytics SuccessWhy competitive advantage from analytics is declining and what to do about it
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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.
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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.
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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.
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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.
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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.
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백서
IoT in Retail: Engaging the Connected Customer How do you make your brick-and-mortar stores as smart as your website so when customers walk in the door, you recognize them and cater to their individual tastes? Learn the key to making in-store shopping as frictionless for your customer as online shopping.
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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.
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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.
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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.
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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.
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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.
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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.
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E-BOOK
Four Use Cases Show Real-World Impact of IoT This TDWI e-book explores in detail what IoT means and how different industries are taking advantage of it.
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고객 사례
Changing the conversation about behavioral healthSan Bernardino County uses data management and advanced analytics to improve care and address misconceptions.
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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.
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기사
Broken promises? Avoid IoT traps with an analytics platformHow can you realize the promise of the Internet of Thing? By using an analytics platform to sense, understand and act on streaming data.
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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.
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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.
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기사
Practical advice for better business forecastingCheck out three short videos with simple, practical advice for improving business forecasting at your organization.
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기사
An executive’s guide to cognitive computingCognitive computing is the latest buzzworthy term that everyone seems to be talking about in the technology industry. But can machines really think?
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동영상
See IoT industry examples in actionHow can analytics unlock the limitless possibilities in the Internet of Things?
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기사
오늘날 유통 산업에서 사용하는 5가지 IoT 응용 분야_(영문원본)_5 IoT applications retailers are using todayThe Internet of Things can bring big benefits, but what is IoT and how are retailers taking advantage of it?
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기사
5 IoT applications retailers are using today The Internet of Things can bring big benefits, but what is IoT and how are retailers taking advantage of it?
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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.
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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.
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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.
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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.
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기사
IoT: The next best thing to reading your customer’s mindConstant streams of data from myriad devices and sensors is what IoT is all about. But how are organizations using it to better customer experiences?
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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.
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시리즈
Evolving your institutional insightBig data in education can help administrators understand college applicants and students – including which ones will struggle and why.
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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.
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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.
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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.
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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.
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When One Size No Longer Fits All - Electric Load Forecasting with a Geographic HierarchyIllustrate step-by-step how utilities forecasters can take advantage of hourly or sub-hourly data from millions of smart meters by using new types of forecasting methodologies
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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.
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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.
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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.
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기사
5 Challenges for IoT in the insurance industryIoT promises to substantially reduce losses in the insurance industry, but adoption is low. That will change when the industry overcomes these five challenges.
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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.
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백서
Improve Customer Experience with Actionable Artificial Intelligence While more marketers turn to artificial intelligence technologies, this new territory also raises more questions. This paper offers a detailed look into how AI works, and explores the opportunities and challenges it presents.
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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.
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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.
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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.
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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.
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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.
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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.
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백서
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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백서
BI, Analytics, and the Cloud: Strategies for Business AgilityCloud BI and analytics
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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.
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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.
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백서
The Connected InsurerExplore the opportunities IoT creates, the barriers to its adoption within the insurance industry, and what’s needed to fully exploit the potential of IoT for competitive advantage and growth.
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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.
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백서
Leadership and Big Data InnovationA Harvard Business Review Key Learning Summary
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백서
Approachable Analytics With SAS® Web Solutions See how SAS Web solutions enable rapid prototyping of new analytic solutions.
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백서
The Connected Customer: The Why Behind the Internet of ThingsBlue Hill explores the key traits associated with supporting the connected customer through the internet of things, and provides guidance on why the internet of things will be essential across the general business landscape.
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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.
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E-BOOK
Improving Customer ExperienceEveryone makes better decisions with easy access to powerful, interactive analytics – no matter the size of the business. This e-book profiles seven organizations that are using self-service data visualization and exploration to make big improvements in the way they work.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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기사
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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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.
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백서
The Key Factors Driving IoT SuccessWith the support of SAS, the Internet of Things Institute developed the Internet of Things ROI Research Study to gather real-world insights, lessons learned and future guidance from current users of IoT technology and advanced analytics.
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E-BOOK
The Non-Geek's A-to-Z Guide to the Internet of ThingsThis A-to-Z guide includes 101 common terms related to the Internet of Things.
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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.
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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.
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백서
Building a Foundation for HR Analytics Valuable insight into what it takes to build HR analytic competency from scratch.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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백서
TDWI Navigator Report: Predictive AnalyticsPredictive Analytics
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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.
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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.
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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.
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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.
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고객 사례
The right fit in all the right waysLevi Strauss & Co. crafts better customer experiences through big data and analytics.
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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.
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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.
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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.
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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.
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기사
The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
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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.
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회견
IoT in manufacturing: Voices from the fieldThe Internet of Things (IoT) is a transforming the manufacturing industry. Learn how the concept of connected devices can power smart manufacturing.
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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.
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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.
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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.
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고객 사례
데이터 분석을 통한 비용절감 사례미국 혼다자동차가 보증 신청 업무를 개선하고 데이터 분석을 통해서 부품과 서비스 수요를 예측, 비용을 절감한 사례를 확인하십시오.
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기사
Using analytics to prevent deadly infections Dignity Health’s Bio-Surveillance Program predicts new sepsis cases, allowing early intervention and saving lives.
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백서
Accelerating the Path to Value with Business Intelligence and AnalyticsBI and Analytics Accelerating Value
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고객 사례
Achieving academic and operational excellence through business intelligenceCurtin University uses SAS Visual Analytics to provide reporting across the organization.
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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?
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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.
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백서
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processingadvanced analytics, artificial intelligence, machine learning, natural language processing
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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.
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백서
The Internet of Things: Marketing’s Opportunities and Challenges Learn how marketers can apply event-based marketing and real-time marketing capabilities to capitalize on IoT data in the moment by pinpointing significant customer events, which then trigger real-time customer decisions. The result? Best offers delivered in real time, given the consumer’s current context.
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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.
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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.
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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.
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E-BOOK
Quality 4.0 Impact and Strategy Handbook Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership.
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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.
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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.
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기사
IoT challenges in the connected supply chainThe IoT Is set to revolutionize supply chain management, but there are certain challenges it must overcome first. Here’s what you need to know.
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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.
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기사
Connected vehicles: IoT steers a new direction for OEMsWith IoT and analytics, automakers and their partners can reshape business models, find new ways to monetize data and serve customers better.
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사례 연구
Thwarting disruption with strategic investments in innovationNational Australia Bank turns to innovative strategies, like hackathons, to find new solutions to emerging challenges.
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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.
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기사
The connected consumer: IoT's impact on the future of retailThe IoT and the connected consumer are set to revolutionize retail. Here are a few ways companies can take advantage of technology advancements.
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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.
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기사
Machine learning, data science and AI meet IoTIn this video, Kirk Borne and Michele Null discuss the intersection of machine learning, AI and data science with IoT data and analytics.
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기사
AI marketing: What does the future hold?AI marketing uses artificial intelligence and analytics to improve marketing results while enhancing customer experiences through real-time personalization.
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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.
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기사
How to improve your AI marketing skillsMarketing teams can use current AI capabilities to enhance their efforts around campaign automation, dynamic pricing based on forecasting models, and by providing more relevant, real-time customer offers.
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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.
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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.
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백서
Modern manufacturing’s triple play: Digital twins, analytics and the Internet of ThingsTechnologies to recreate a digital version of some of the world’s most complex machines are a new source of opportunity for analytics and the Internet of Things. From use by NASA to manufacturers worldwide, equipment can be monitored from anywhere in the world and beyond.
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백서
Bridging The IoT Perception Gap: Information vs Operational TechnologyFuturum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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시리즈
데이터 사이언티스트 만나기: Daymond LingDaymond Ling은 성공적인 데이터 사이언티스트가 되기 위해서는 기술적 능력보다 올바른 인성을 갖추는 것이 중요하다고 생각합니다.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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백서
Securing Your IoT Solution StackLearn why IoT solutions are so difficult to secure, what's needed to secure each layer of the IoT stack, and how SAS uses software like SAS Event Stream Processing to secure the applications layer.
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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?
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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.
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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.
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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.
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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.
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백서
Charging Ahead with EV AnalyticsThis white paper from Navigant Research, sponsored by SAS and Intel, explores the analytics infrastructure that is needed to prepare for and benefit from the growth of EVs
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백서
Edge Computing Index: From Edge to EnterpriseThe Futurum Research survey was conducted to identify attitudes toward edge computing, adoption and deployment data. It also investigated investment intent and trends or points of friction related to this topic. All respondents in the survey were in roles of influence for edge computing investment decisions.
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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.
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백서
What Management Must Know About ForecastingExplore why forecasts are often wrong and learn about ways to improve them.
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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.
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기사
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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고객 사례
Using artificial intelligence to better engage with customersDaiwa Securities uses analytics and machine learning from SAS to better meet customer needs.
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백서
Keys to robust credit risk modeling and decisioning for better customer experienceModernizing and automating the end-to-end process for origination and servicing – from data management to model development to credit decisions – can reduce credit losses and boost performance. This paper explores how infusing machine learning into this process supports more effective credit decisions for individuals, products or portfolios.
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기사
Game-changing technologies turn IIoT data into goldThe real value of IoT lies in its data. Maciej Kranz says technologies like edge and fog computing, machine learning and AI can unlock the hidden value in data from the IIoT.
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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.
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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.
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백서
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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Hope, armed with answers, can overcome hardshipWhen their world was shaken, the people of Nepal turned to IOM. And IOM turned to SAS. With SAS Visual Analytics, shelter was provided to displaced families.
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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.
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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.
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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.
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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.
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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.
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백서
AI Momentum, Maturity and Models for SuccessSAS, Intel and Accenture, working with Forbes Insights, surveyed business leaders and interviewed thought leaders around the world to identify early adopters and uncover emerging best practices for AI. Find out what they had to say.
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고객 사례
Digital retailer bags record sales with analyticsShop Direct delivers award-winning, personalized customer experiences with SAS.
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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.
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백서
Adopting AI: Linchpins of AI Success - Data Scientists and Their Algorithms The Harvard Business Review’s AI Adoption Insight Center focuses on the the human faces behind the computational and automation advancements that are carrying our world into exciting, uncharted territory.
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백서
Adopting AI: The Impacts of AI on ManagementThe AI revolution is no longer the stuff of science fiction – it’s corporate reality. Harvard Business Review’s AI Adoption Insight Center articles on management discuss the reality of AI execution in businesses today and what we’re learning as AI advances.
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백서
Adopting AI: Strategic Takes on AI AdoptionA successful AI implementation requires a strong strategy from the beginning. Knowing how and where to fit AI into your business to gain the most benefits is crucial to drive growth.
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백서
Adopting AI: Industry PerspectivesFrom self-driving cars to supply chain jobs, detecting crime and changing healthcare, AI promises to transform our business world. The promise of AI is no longer speculative—it’s today’s reality.
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백서
Analytics and the Modern Energy SupplierFind out why the modern energy supplier must consider how to incorporate IoT and AI in their business operations to improve data-driven decisions and achieve greater return on asset investments.
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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.