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When COVID-19 hit, organizations using traditional analytics techniques that rely heavily on large amounts of historical data realized one important thing: Many of these models are no longer relevant. Essentially, the pandemic changed everything, rendering a lot of data useless. In turn, forward-looking data and analytics teams are pivoting from traditional AI techniques relying on “big” data to a class of analytics that requires less, or “small” and more varied. These data and analytics trends can help organizations and society deal with disruptive change, radical uncertainty and the opportunities they bring Transitioning from big data to small and wide data is one of the Gartner top data and analytics trends for 2021. These trends represent business, market and technology dynamics that data and analytics leaders cannot afford to ignore. [swg_ad id=”39131″] “These data and analytics trends can help organizations and society deal with disruptive change, radical uncertainty and the opportunities they bring over the next three years,” says Rita Sallam, Distinguished VP Analyst, Gartner. “Data and analytics leaders must proactively examine how to leverage these trends into mission-critical investments that accelerate their capabilities to anticipate, shift and respond.” Each of the trends fit under one of these three main themes:
