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Competing on Analytics (Davenport, 2006)
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The Case for Using Probabilistic Knowledge in a Computer Chess Program (John L. Jerz)
Resilience in Man and Machine

Harvard Business Review, January 2006
 
Some companies have built their very businesses on their ability to collect, analyze, and act on data. Every company can learn from what these firms do.

p.1 How to pull ahead of the pack? Become an analytics competitor.
 
p.1 Channel your resources into analytics initiatives that most directly serve your overarching competitive strategy.
 
p.2 Organizations are competing on analytics not just because they can - business today is awash in data crunchers - but also because they should... business processes are among the last remaining points of differentiation. And analytics competitors wring every last drop of value from those processes.
 
p.4 analytics competitors look well beyond basic statistics. These companies use predictive modeling to identify the most profitable customers... They create complex models of how their operational costs relate to their financial performance.
 
p.6 Analytics competitors make expert use of statistics and modeling to improve a wide variety of functions.
 
p.8-9 serious analytics does require the following:
A data strategy...
Business intelligence software. The term "business intelligence," which first popped up in the late 1980s, encompasses a wide array of processes and software used to collect data, analyze, and disseminate data, all in the interests of better decision making... The popularity of analytics competition is partly a response to the emergence of integrated packages of these tools.
Computing hardware.
 
p.9 Virtually all the organizations we identified as aggressive analytics competitors are clear leaders in their fields, and they attribute much of their success to the masterful exploitation of data. Rising global competition intensifies the need for this sort of proficiency.
 
p.9 You Know You Compete on Analytics When...
...
5. You not only employ analytics in almost every function and department but also consider it so strategically important that you manage it at the enterprise level.
6. You not only are expert at number crunching but also invent proprietary metrics for use in key business processes.

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