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This article is part of the Issue 6, June 2012 issue of Data warehouses must learn new tricks in Big Data era
In a May 2011 report, the McKinsey Global Institute predicted that there will be a shortage in the coming years of the analytical talent necessary for organizations to take full advantage of “big data”—the growing pools of both structured and unstructured data that companies are collecting and looking to analyze. By 2018, the report said, the U.S. could have an unanswered need for 140,000 to 190,000 workers with deep analytical skills, plus 1.5 million managers and business analysts who could put the results of big data analytics applications to good use in making effective business decisions. If it does come to pass, the lack of analytical and decision-making expertise could negatively affect the ability of organizations to derive business value from the information they’re capturing and then leverage data-driven strategies to innovate and increase their competitiveness. To avoid such consequences, companies and educators should make a coordinated and concerted effort to do the following: Create awareness among high school and college students of the ... Access >>>
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Riding herd on Excel BI use isn't easy, but it's necessary
by Alan Earls
Eradicating the use of Excel in business intelligence applications turned out to be a pipe dream in most organizations. Now the focus is on controlling it -- as best you can.
- Riding herd on Excel BI use isn't easy, but it's necessary by Alan Earls
Data warehouses must learn new tricks in 'big data' era
by Lou Agosta
These databases, mammoth by definition, are evolving to accommodate the influx of new data types, technical innovations and increasing volumes brought on by the rise of “big data.”
Universities need push to develop analytical talent
by Richard Herschel
A shortage of workers with analytical skills threatens to derail efforts to derive business value from “big data.” It’s time for colleges to do more on BI and analytics education.
- Data warehouses must learn new tricks in 'big data' era by Lou Agosta
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