Data as a Service: A new era in analytics

#artificialintelligence 

Business intelligence is prime for revolution -- we're calling it Data as a Service. After decades of investing in business intelligence (BI), most employees still don't have access to trusted, real-time insights. Traditional business intelligence relies on the neatly choreographed arrangement of staging servers, pre-calculated cubes, batch report servers, static dashboards, PDF and Powerpoint reports, desktop visualization tools, and many other convoluted and ungoverned methods of sharing data in the enterprise. What do all of these have in common? They reflect the limitations of the existing on-prem analytics infrastructure.

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