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Disconnect between IT and lines of business

Anuradha Shukla | March 26, 2014
IT seen as a roadblock rather than an enabler to analytics.

A disconnect exists between IT and lines of business (LOBs), according to a newly released SAS sponsored study.

A survey of 578 IT, line of business and analytics managers and executives reveals that IT is frequently seen as a roadblock instead of an enabler to analytics.

38 percent of organizations said that the majority of their analytics staff resides in a centralized analytics group outside and 21 percent said that group primarily determines analytics strategy.

The majority of respondents (95 percent) saw benefits from analytics but only 31 percent could actually measure that value.

"Individual departments are gathering data and using departmental analysts to cobble together some semblance of an analytics strategy," said Tony Hamilton, global marketing consultant at SAS. "But this approach fails to achieve a single customer view or an accurate assessment of where the business is and where it needs to go."

Data-intensive world

In this data-intensive world LOBs see faster time to ROI from analytics than IT. Presently, LOBs are actively working with chief analytics officers, while IT is less connected.

Findings of the survey also indicate that IT is less involved in setting analytics strategy and LOBs are less satisfied with their collaboration with IT.

IT was 10 percent more satisfied with collaboration around analytics than LOB. About twice as many IT respondents said IT decides on analytics project funding.

CIOs are advised to focus on big data and analytics as it presents a big opportunity to support business objectives in a strategic, outcome-oriented way.

"When IT and business align, wonderful insights emerge. And when you distribute and scale those insights in the right context to the right recipients, new business opportunities arise," added Hamilton. "The CIO has a fantastic opportunity to lead both the business and technical conversations, allocating proper resources and establishing an enterprise-wide approach to gathering data, integrating it and ensuring its integrity." 



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