Remove 2009 Remove Big Data Remove Risk Remove Uncertainty
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New Thinking, Old Thinking and a Fairytale

Peter James Thomas

Here we come back to the upward trend in searches for Data Science. It could be argued of course that this is yet another business fad (indeed some are speaking about Big Data in just those terms already [7] ), but I believe that there is more substance to the area than this. – McKinsey 2009. . [6].

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Fact-based Decision-making

Peter James Thomas

A clear parallel would be credit risk in Retail Banking, but something as simple as an estimate of potentially delinquent debtors is an inherently statistical figure (albeit one that may not depend on the output of a statistical model). Especially for all Business Analytics professionals out there (2009). [7]. This can be problematic.

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

datapine

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. A 2009 investigative survey by Dr. Daniele Fanelli from The University of Edinburgh found that 33.7% Transparency and Data-Driven Business Solutions.