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While customers can describe a billing workflow or a mobile app feature, explaining how data should be used is less clear. Merely documenting a wish list of reports, fields and filters is a recipe for low adoption and canceled subscriptions. In 2017 I had the opportunity to work on an insurance industry project for the first time.
But collaborative BI does not only remain around some documents’ exchanges or updates. Long-standing barriers between data scientists and business users are being slowly mixed into a one-stop-shop for any datarequirement a company might have – from collecting, analyzing, monitoring and reporting on findings.
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