SEPTEMBER -2022MARTECHOUTLOOK.COM19CXO INSIGHTSIt can be tempting to believe that business intelligence has had its day. The move into interactive data visualizations left companies with a rash of busy, colorful dashboards that combined maximum data with endless flexibility and often failed to adequately inform business decisions. "But this is what they wanted!" became the exasperated cry of dashboard developers as this exploratory format taxed employee productivity and unearthed myriad data quality issues. Users increasingly asked to export underlying data into Excel where it was triangulated with other sources of truth and manipulated to meet business needs.While some version of this played out across many organizations, AI and ML captured the collective imagination of executives. Companies rushed to form data science teams and the mess of dashboards from the golden age of BI faded into the background.Fast-forward to today and many of the hoped-for gains of AI and ML have not materialized at scale. Over 80 percent of advanced analytics projects are said to fail as the same data quality issues that plague the dashboards are compounded by a disconnect between data scientists and THE GOLDEN AGE OF BI FADED INTO THE BACKGROUNDBy Patrycja Kujawa, Vice President, Information Management, Auto Canada
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