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文章
8 ways an enterprise data strategy enables big data analyticsAnalyzing big data can reveal new insights and strengthen business decisions. Here's why you need an enterprise data strategy to help you get there.
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白皮書
Improving Data Preparation for Business AnalyticsThis TDWI Best Practices Report discusses the latest data preparation processes, self-service options and how to effectively integrate data prep with analytics and BI solutions.
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文章
Coming soon: The Industrial Internet and IoT standardsFrom smart farms to connected water meters, the IIoT party is happening – with consensus around IoT standards playing host.
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電子書
Operationalizing AnalyticsExplore how to overcome difficulties related to data and operationalizing analytics. We’ll also look at how one industry – banking – has been able to realize the full benefit of its analytics investment.
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文章
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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文章
Hadoop in the boardroom?The Hadoop technology trend is still on the rise, with Hadoop uses moving from IT to the business units. But what about Hadoop in the boardroom? Learn why executives are discussing this disruptive technology and what they expect it to provide.
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文章
Chief data officer role shakes up traditional data governanceDoes every organization need someone in the chief data officer role to manage data governance?
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分析報告
IDC MarketScape: Worldwide Machine Learning Operations Platforms 2024
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文章
The transformational power of evidence-based decision making in health policyState health agencies are under pressure to deliver better health outcomes while minimizing costs. Read how data and analytics are being used to confront our biggest health care challenges head on.
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訪問
The scoop on HadoopCloudera co-founder Mike Olson talks trends, changes and outlines the formula for success with Hadoop.
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文章
How to improve data prep for analytics: TDWI shares best practicesGetting good results from your data means doing a good job of preparing the data for analytics. Find out what TDWI says it takes to get there.
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白皮書
SAS and the Hadoop EcosystemA vendor profile from The Bloor Group that refers to the full report: Making Sense of Hadoop and its Ecosystem.
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訪問
How do you know if you’re ready for Hadoop?Ask an early adopter. Epsilon VP of Products answers our Hadoop questions about implementation, preparation and scalability.
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文章
Data lake and data warehouse – know the differenceData lake – is it just marketing hype or a new name for a data warehouse? Find out what a data lake is, how it works and when you might need one.
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文章
5 ways data monetization can inform data strategyData monetization promises more than monetary returns. Anne Buff explains how monetization drives strategy for data-driven organizations.
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白皮書
Data Management in Action: Solving Real-World ChallengesDiscover how a solid data management foundation helps you make better decisions and attain business success.
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文章
Data governance: The case for self-validationLearn why you should redefine data governance policies to empower customers to be accountable for keeping their personal data accurate, consistent and up-to-date.
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文章
Components of an information management strategyBefore starting a data management strategy for your business, you need to understand each component. Data expert David Loshin breaks them down.
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白皮書
IoT success depends on data governance, security and privacyThe IoT puts intense demands on the data management life cycle. Learn from 10 common mistakes organizations have made with IoT endeavors.
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文章
Key questions to kick off your data analytics projectsThere’s no single blueprint for starting a data analytics project. Technology expert Phil Simon suggests these 10 questions as a guide.
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客戶案例
World’s largest sports and humanitarian event builds legacy of inclusion with data-driven technologySpecial Olympics World Games Abu Dhabi uses SAS® Analytics and AI solutions to keep athletes safe and fans engaged.
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文章
Soccer versus baseball: which is the best analogy for data governance?Is data governance more like baseball, featuring individual effort, or like soccer, where a team approach wins? Carol Newcomb evaluates the best sports analogy for data governance.
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分析報告
SAS 獲評為《Forrester Wave™：2024 年第三季 AI/ML 平台領導者》
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文章
You don’t know me. Or do you? Data meets anthropologyLaw and medicine. Anthropology and data management. And so on. What new advances can happen when fields of study converge?
