The Operational Analytics Loop: From Raw Data to Models to Apps, and Back Again

Written by borisjabes | Published 2021/06/07
Tech Story Tags: data | data-analysis | data-analytics | analytics | operational-analytics-loop | operational-analytics | hackernoon-top-story

TLDR Over the next decade, we’ll see an incredible transformation in how companies collect, process, transform and use data. DataOps has always struggled with a gap between the data stakeholders who use data (e.g. RevOps) and the data team that delivers it. But DataOps doesn’t solve for one vital element: The request-and-wait cycle. Reverse ETL tools have made it possible for the collected and cleaned data to be put into action. Closing this loop creates a self-reinforcing virtuous cycle of data, where daily data-driven decisions are made better.via the TL;DR App

no story

Written by borisjabes | Boris Jabes is a co-founder and CEO of Census.
Published by HackerNoon on 2021/06/07