The Operational Analytics Loop: From Raw Data to Models to Apps, and Back Againby@borisjabes
767 reads

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

tldt arrow
Read on Terminal Reader🖨️

Too Long; Didn't Read

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.

Companies Mentioned

Mention Thumbnail
Mention Thumbnail

Coin Mentioned

Mention Thumbnail
featured image - The Operational Analytics Loop: From Raw Data to Models to Apps, and Back Again
Boris Jabes HackerNoon profile picture

@borisjabes

Boris Jabes

About @borisjabes
LEARN MORE ABOUT @BORISJABES'S EXPERTISE AND PLACE ON THE INTERNET.
react to story with heart

RELATED STORIES

L O A D I N G
. . . comments & more!
Hackernoon hq - po box 2206, edwards, colorado 81632, usa