Analytics & Performance

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Image courtesy of IBM.

Winning the Race With Ever-Smarter Machines

The capabilities of computers are now improving so quickly that concepts can move from the realm of science fiction into everyday life in just a few years, rather than a lifetime. Rapid advances in information technology — computer hardware, software and networks — are yielding applications that can do anything from answering game show questions to driving cars. But to gain true leverage from these ever-improving technologies, companies need new processes and business models.

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Analytics: The Widening Divide

In this second joint MIT Sloan Management Review and IBM Institute for Business Value study, we see a growing divide between those companies that, on one side, see the value of business analytics and are transforming themselves to take advantage of these newfound opportunities, and those, on the other, that have yet to embrace them.

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Free Article

Tim Harford on Trial, Error and Our “God Complex”

  • Blog
  • Read Time: 3 min 

Financial Times journalist Tim Harford and author of “Adapt: Why Success Always Starts With Failure” argues that companies that have a God complex look for smart people (what he calls “little Gods”) to solve complex problems — when what they should really be doing is establishing systematic processes of trial and error.

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How Fast and Flexible Do You Want Your Information, Really?

Almost all executives want more and faster information, and almost all companies are racing to provide it. What many of them overlook, though, is that the real aim should be not faster information but faster decision making — and those aren’t the same things.

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Improve Data Quality for Competitive Advantage

ERRORS IN DATA CAN COST A COMPANY MILLIONS OF DOLLARS, ALIENATE CUSTOMERS, AND MAKE IMPLEMENTING NEW STRATEGIES DIFFICULT OR IMPOSSIBLE. The author describes a process AT&T uses to recognize poor data and improve their quality. He proposes a three-step method for identifying data-quality problems, treating data as an asset, and applying quality systems to the processes that create data.

Showing 21-32 of 32