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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

datapine

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. Through their data visualization work, they relentlessly exhibit a wide spectrum of capabilities across the creative, editorial, analytical, and technical dimensions”. click for book source**.

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LaLiga transforms fan experience with AI

CIO Business Intelligence

The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game. We identified the trend that fans were eager to consume this data and know more about competitions.”

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What is SSDP and Can it Truly Make Analytics Self-Serve?

Smarten

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. Can SSDP Truly Make Analytics Self-Serve? What is SSDP?

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What are Citizen Analysts and How Can They Improve Your Organization?

Smarten

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. A modern BI platform supports IT-enabled analytic content development.