The situation presents an opportunity for IT groups to make themselves more relevant, she noted. The trend among business groups to embark on their own analytics projects is leading to the creation of shadow IT organizations, multiple data streams and siloed department and business-level data marts.
IT has an opportunity to make itself more useful in the data analytics and big data arena by taking control of data and making it available in a more manageable form, she said.
Curt Monash, database and analytics expert and principal at Monash Research, said that as companies begin to roll out more enterprise-level analytics efforts IT's role will actually increase, not diminish.
Emerging approaches like predictive data modeling involves dealing not just with large volumes of data, but also with data that is acquired at great speed and stored in different ways. Increasingly, the modeling is done directly against the database itself.
Contrary to what the study suggests, IT has more to contribute to analytics than ever before, Monash said. "IT has a lot of work to do to harness new volumes and velocities and varieties of data."
While smaller, tactical analytics projects may well be handled at the business unit and department level, large strategic analytics projects will lean heavily on IT skills and expertise, he said.
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