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Do You Want “Mathemagical Superpowers?” Prepare for an Emerging Career in Data Analytics
March 18, 2013 by William FriersonThe movie Moneyball showed Oakland Athletics’ use of performance data to recruit talented baseball players with good ROI. The new big thing is fanalytics, applied to a wide range of sports: basketball, hockey, motorsport, tennis, and more.
Bill Wilson (sports fan and recovering lawyer) wrote a blog about the MIT Sloan Sports Analytics Conference:
Geeks Seek Reap From Tweeps in Seats (brewonsouthu@yahoo.com)
Doug Henschen, executive editor of InformationWeek, wrote that analytics are used in decision-making from “ticket and merchandise sales to labor agreements to player contracts, to TV and digital media deals.”
Computer modeling enabled meteorologists to give a heads-up warning to government agencies about Hurricane Sandy. The presidential and Senate race outcomes were accurately predicted by statistician Nate Silver and neuroscientist Sam Wang, respectively.
Healthcare providers seek data scientists at all levels to lower costs, improve patient care, provide pricing transparency, and enhance treatment decisions consistent with best practices.
“Data is the new oil.” Continue Reading
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Getting a Job Takes Work!
December 26, 2012 by William Frierson
Do you need some help with your federal government job resume? Here are some tips in the following post.So many people out there without work – and many would like a federal government job..and they should – it’s good pay, it’s generally very secure, and the benefits are phenomenal.
But the resumes I see are not going to get them there. Some tips:
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Executives Prefer Storing Data at Work and Home
November 15, 2012 by William FriersonSome executives value keeping a record of their data on the job and at home.
In a survey of over 100 business executives conducted online in September, Rimage found that 98.4% of business executives believe there are consequences when a company fails to properly archive data and 33.1% report that certain types of corporate data need to be archived for as long as 20 to 50 years. Continue Reading

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