Data analytics is a domain in constant motion. Early in 2020, it seemed clear that organizations would continue to invest heavily in analytics to support their digital transformations. But the world of analytics and AI looks very different in March 2021 than it did in February 2020. The COVID-19 pandemic has forced enterprises to adopt new ways of working, squeezed budgets, and rendered obsolete many models that relied on historical data.
In 2021, research firm Gartner says data and analytics teams must pivot from traditional techniques that rely on big data to a new class of analytics focused on “small and wide” data.
