Collaboration Important to Big Data Analytics Success

A link exists between the levels of collaboration among IT, line-of-business and analytics groups and the success of big data and analytics projects, according to a new report from International Data Corp.

The IDC research also found that there are differences in the perception of the level of collaboration among IT, lines of business and analytics groups. Of those surveyed, 57 percent of the line-of-business respondents say there is a high level of collaboration with IT to achieve desired BDA outcomes, while 75 percent of respondents from IT say the same.

Also see Where is the Opportunity in Collaboration?

In addition, a significant number of respondents think there is a low level of extensive collaboration among IT, lines of business and analytics. Only 21 percent of the line-of-business respondents rated their collaboration with IT and analytics colleagues as extensive, and only 23 percent of the analytics group participants rated their collaboration with IT and line-of-business colleagues as extensive.

"Many line-of-business and analytics groups pride themselves on their ability to bypass IT to fulfill their own needs for data access and analysis,” Dan Vesset, program vice president of big data and analytics at IDC, said in a statement. “But there is a fine line between data and analytics democracy and anarchy. Improved collaboration among all stakeholders can help mitigate risks and improve outcomes of BDA projects."

This IDC study, “Collaboration in the Age of Big Data,” presents findings from IDC’s 2013 Big Data and Analytics Benchmark Survey, as well as recent end-user research about the extent of collaboration among lines of business, analytics and IT employees and groups.

This story first appeared at Information Management.

 

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