POSTED : June 4, 2019
BY : Brad Jackson

With an influx of data into retailers’ environments—from e-commerce, social media, in-store data and supply chain technology, to name a few new sources—structuring how to interpret that data and then act on it to create unique and personalized customer experiences requires a different approach to business intelligence (BI). While a single version of truth (SVOT) has long been the holy grail of analytics professionals, the likelihood of retailers understanding the nuances of their customers’ habits and desires through a single lens is not only impractical — it’s also problematic.

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