2 years ago

Category: Business, Database, Data, Infrastructure, automation, artificial-intelligence

https://www.linkedin.com/in/teresawingfield/ In https://www.gartner.com/smarterwithgartner/gartner-top-10-data-and-analytics-trends-for-2021/ 2021 top 10 data and analytics trends, engineered decision intelligence is identified as a rising trend with the potential to drive a successful business decision-making process. When organizations pair engineered decision intelligence tools with a common data fabric and composability support, they are able to subsequently pave the way for more accurate, repeatable and traceable decisions.

Conveniently, it’s definition is found in the name: it is a deliberate and structured process of deriving business decision-making intelligence from data.

According to Gartner, that means engineered decision intelligence is about pairing these tools with a common data fabric and composability support — which enables the use of components from multiple data, analytics, and AI solutions — thus paving the way for decisions that are more accurate, repeatable, traceable, and timely. The Need for a Data Fabric https://www.linkedin.com/in/lewiscarr/ The data fabric is essential for engineered decision intelligence.