Tag Archives: data governance

drivers for data governance

3 most common data governance drivers

From my interactions with organizations that have mature data governance programs and those still in the planning or early adoption stage, I found there are some common drivers for starting a data governance program and here they are. Which one is yours? Feel free to

14 data governance artifacts

14 must have data governance artifacts

I know it’s not easy to put the necessary foundation in place for a successful data governance program. I’m referring to the: initial business case the data governance operational framework maturity model the data governance council guiding principles resources, etc. Let’s assume you have all

Oracle data governance model

Data governance maturity models – Oracle

Maturity models contain a set of levels or phases, each with their own characteristics, usually about the status of processes and structures, people and culture, tools technology.  As an organization advances in a level/ phase, it is considered more mature in its treatment, usage, and understanding towards

dataflux data governance model

Data governance maturity models – DataFlux

This article is continuing the series of data governance maturity models as a data governance evaluation tool. Check out these other ones: Stanford’s Maturity Model IBM’s Maturity Model DataFlux Maturity Model Overview: Developed by DataFlux in 2007, it was based on their ten years of experience