Category Archives: Data Governance

3 surprising data roles

3 surprising data roles you should know about

Throughout my career and experience within the data management and data governance industries, I always encounter interesting data roles and responsibilities. Is there a lot of overlap? Definitely! That’s why I think it is most important to focus on the meaning of the roles –

data steward's guide to machine learning

Data steward’s guide to machine learning – free white paper

Leading-edge consumer technology companies, such as Google, Amazon, and Netflix, have demonstrated the impact that machine learning can have on the customer experience. These brands have become some of the most valuable in the world by delivering experiences that feel magical to the end consumer

3 communication steps

3 communication steps for successful data governance

I believe a lot in the power and benefits of communication. The Project Management Institute estimates that “20% of unsuccessful projects are due to ineffective communications”*. From my own experience and those I’ve interacted with so far, I can also draw the conclusion that communication

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

data governance model assessment score

Data governance maturity models – Open Universiteit Nederland

Due to popular demand, I’m continuing the series of covering existing data governance maturity models by adding an overview of Open Universiteit Nederland Maturity Model. For a recap of those covered so far, you can find each one here: Stanford’s Maturity Model IBM’s Maturity Model

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, not to even mention the data governance artifacts / deliverables. On the foundation piece, I’m referring to the: initial business case the data governance operational framework maturity

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