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The Business Intelligence Market – What’s Old is New

In(tegrate) the Clouds

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. No, let’s call it business intelligence.

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

datapine

In the digital age, these capabilities are only further enhanced and harnessed through the implementation of advanced technology and business intelligence software. Statistics are infamous for their ability and potential to exist as misleading and bad data. Transparency and Data-Driven Business Solutions.

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IT leaders adjust budget priorities as economic outlook shifts

CIO Business Intelligence

IDC expects that big data and analytics will be one of four key platforms – along with cloud, mobile, and social — driving growth in traditional IT spending over the next five years. They recognize the value you provide, and IT budgets won’t be affected in the same way they were in 2009 and 2001.”.

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14 essential book recommendations by and for IT leaders

CIO Business Intelligence

In the book, he examines robotics, AI, cybercrime, genomics, big data, and more. “It To understand the science of motivation Ivashin also thinks IT leaders will enjoy Drive: The Surprising Truth About What Motivates Us (Riverhead Books, 2009) by Daniel H.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

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Fact-based Decision-making

Peter James Thomas

Especially for all Business Analytics professionals out there (2009). [7]. See in particular my trilogy: Using historical data to justify BI investments – Part I (2011). Using historical data to justify BI investments – Part II (2011). Using historical data to justify BI investments – Part III (2011). [8].

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