Big Data: 7 Golden Rules to Data Driven Transformation

February 24th, 2016

big data

Big data and analytics have climbed to the top of the agenda for many companies. Together when paired with the right strategy, tech talent, technology and culture they promise the ultimate goal of business transformation.

CompTIA surveyed 402 U.S. businesses and IT professionals online in September and October 2015 to support its Big Data Insights and Opportunities report. It found that 51 percent of respondents reported having a big data project in place today (up from 42 percent in 2013) and another 36 percent reported they were in the project planning stage.

The report also argues that the focus on cost reduction reflects an oversimplification of the technology’s potential. The ultimate goal, it says, is business transformation, whether that takes the form of improved customer relations, new business offerings or innovative thinking. And all of those changes imply value beyond simple cost savings.

“Harnessing information so that your organization can become data-driven is no simple task. You need to be able to rapidly assimilate, integrate and analyze your data — existing internal data and the growing stream of big data from new internal and external sources — and turn it into insights that you can act upon at the point of action,” states CIO author, Thor Olavsrud.

Jeff Hunter, vice president of the NA Insights & Data practice at Capgemini, says a Capgemini survey of 1,000 C-level executives and senior decision makers reveals seven principles CIOs should follow to help their organizations successfully transform into data-driven enterprises.

Check out the slideshow, 7 Principles of Data-Driven Transformation, by CIO author, Thor Olavsrud.