Thriving data cultures prioritize inclusion, collaboration, and transparency over command and control. They work iteratively vs. trying to "boil the ocean." But of course, this is easier said than done, right?
Dec 2022 How to fuel innovation with agile data governance
Companies spend an obscene amount of money every year on data and analytics initiatives. And almost all of that spend goes toward applications that employ vastly different data models. Normalizing data structures is a painstaking process that most IT teams are used to by now. But should we normalize normalization?
In this episode, Juan, Tim, and Dave McComb, President of Semantic Arts and author of Software Wasteland and The Data-Centric Revolution, discuss what it takes to shift from an application-centric to a data-centric mindset.
What it means to be data-centric
How to undo decades of questionable data management practices
Debate: French Revolution vs. American Revolution vs. Beatles Revolution
Being data-centric: A simple, single, extensible model
You cannot buy the idea of being data-centric, it requires discipline
Build, buy, or rent is what companies do today -- but when you do you buy yet another data model
"I think what it’s going to take is for the customers, the businesses.. to retake their own destiny… a revolution from within.”
See the catalog for data discovery, governance, access, and analysis.