December 17, 2015
December 17, 2015
Contributor: Rob van der Meulen
Business intelligence programs are at a tipping point. How can IT leaders balance the need to support self-service analytics while ensuring data integrity?
The proliferation of data, and the shift toward data-driven businesses, has had such a profound impact that every business is an analytics business, and every employee an analytics user.
“This poses a problem for business intelligence (BI) and analytics leaders,” said Cindi Howson, research vice president at Gartner. “Organizations need improved agility to respond to new data sources and new business requirements. A workforce with access to self-service analytics is a step toward this agility, but traditional BI programs are not ready for self-service.”
Gartner predicts that by 2018 most business users will have access to self-service tools, but that only one in 10 initiatives will be sufficiently well-governed to avoid data inconsistencies that negatively impact the business.
Learn More: Implement a solid data infrastructure that answers complex questions
To achieve BI success, the ability to access and combine data from new sources can now be more important than data quality. So how can BI leaders create enough order — from the chaos of high volumes and velocities of data — to empower employees without compromising data integrity?
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