Category Archives: Data Governance

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

5 data roles you might not know about

5 data roles you might not know about (but should)

Participating as a speaker at different international conferences and being engaged in different data governance communities, provides me with a lot of interactions with data professionals from different industries, countries, and organizational cultures. I’m always interested to know how each organization develops and evolves its

Gartner data governance maturity model

Data governance maturity models – Gartner

I’ve received a lot of positive feedback on the data governance maturity models series as it provides the high level overview of each model to guide you into adopting one for your program. If you’d like to go over the ones covered so far, please

4 critical TOR components for success

4 crucial TOR components for successful council meetings

In order to have a successful and fully functioning data governance council/ committee, you need to establish a Terms of Reference (TOR). What is this TOR? It’s a document which outlines the purpose, structure, and roles and sets certain expectations for the members. The details listed

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

Stanford DG model

Data governance maturity models – Stanford

As an educator, speaker, and data governance professional I sometimes get asked, “How can you measure the effectiveness of your data governance program?” From my experience, there are two main ways to do so: Through a data governance scorecard By evaluating it against a data