Premium Content

Access "Information analysis woes? Build a better business data analysis plan"

Published: 31 Jan 2013

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 information that can be uncovered ... Access >>>

Access TechTarget
Premium Content for Free.

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy

What's Inside

More Premium Content Accessible For Free

  • Cloud computing in business: Find the right model

    Cloud computing in business has led to warnings that this new model will spell the end of corporate IT departments. But is that really the case? In ...

  • Prescriptive analytics: Conquer the next business frontier

    Is an optimized future within our grasp? With prescriptive analytics, it just might be. Businesses have long used data analytics to find out what ...

  • Big data in motion

    Organizations of all shapes and sizes are finding that moving large data sets around presents a number of network challenges. So what are the ...