In most organizations, the teams that analyze and build upon data are both multidisciplinary and diverse. They look to many of the same data sources—ERP and CRM systems, e-commerce infrastructure—but they have disparate needs and strive to answer different questions.
The business analysts on one team may be partial to a particular business intelligence (BI) tool while those on another team may prefer a different BI tool. Your data scientists might use that same BI tool for visualization and other tools entirely for machine learning. Business executives and non-IT power users may still be using Excel or some other office productivity tool.
Few of these users can, on their own, easily access the data they need.
Teams that can’t easily access the data they need—because it’s in the wrong place or the wrong format or they lack the expertise to interact with it without the intermediation of IT—cannot operate as effectively as they should.
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