Wednesday, January 4, 2012

Big Data Analytics Skills Shortage

A recent article at SearchBusinessAnalytics cited "raw and user-unfriendly technology" and lack of "skilled experts" in these technologies as the biggest challenges for large enterprises seeking the considerable benefits of big data analytics. As enterprises become more information driven, and business intelligence and analytics become critical to competitive advantage both strategically and operationally, there just aren't enough skilled personnel to handle the development of the needed predictive modeling and predictive analytics applications.

The greatest need is for more data scientists -- people who have post-graduate educations in statistical analysis. As demand grows, and supply remains relatively constant, individuals with these skills will command larger and larger portions of corporate business analytics budgets.

While this "crisis" seems worrisome, it is a problem that the average business intelligence platform manager would love to have. They would all like to be pushing the data analytics envelope to provide proactive and progressive solutions that meet or exceed their enterprises' information needs. Instead, these managers are dealing with smaller curative or preventive issues that won't go away, and which occupy altogether too much of their budget, and their resources' time.

The oldest (okay, maybe second oldest) service-type business proposition in the world goes something like this: If I can make (or save) you $50, will you pay me $5? In IT, such a proposition speaks to both return on investment (ROI) and total cost of ownership (TCO): you make back the money you invest in the service, and you save on the cost of operating the system.

That's the promise of APOS well managed BI solutions. You conserve the time of your resources, and you can move away from fixing and preventing problems, and toward providing progressive business intelligence solutions for your information consumers.

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