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Information analysis woes? Build a better business data analysis plan
This article is part of the February 2013, Vol. 19 issue of CIO Decisions
Many of you have heard about Nate Silver, the New York Times blogger and author who used survey data and statistical analysis to correctly predict the outcome of the November presidential election—every state and the national electoral total. You may not know that he started out his information analysis, statistical and research wizardry in sports with Baseball Prospectus, a publication known for its expertise in the practice of Sabermetrics, a discipline that asks new questions about existing statistical data to achieve fresh insights into player performance. Silver went back to his roots recently in analyzing the vote for the Baseball Hall of Fame. He wrote a piece in the Times that came out the morning the official votes were announced, predicting no one would get in this year. He was correct. He also showed how the steroid era is having a negative effect not only on known steroid users but also on non-users. What does this have to do with business analytics? A lot, if you consider the possibilities of the new kinds of ...
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News in this issue
For Bell Nursery, mobile inventory management will keep business from withering on the vine.
What can the 2012 election teach CIOs about data analysis? Collecting the right data is important, but using it to change behavior is what matters.
Keen on applying IT best practices to the business, enterprise leaders rely on CIOs for business process optimization and change management programs.
Measure, analyze and standardize for better line-of-business services delivery.
Facing flat IT budgets and under pressure to invest in new technology, where do CIOs see opportunities for cutting costs? Follow the money.
Columns in this issue
Suffering from information analysis troubles? Establishing a business data analysis plan can help organizations make smarter business decisions.
A look back at the history of business intelligence and analytics reveals where data analytics has been, where it stands, and where it’s going.