Most of us know Stephen King as a great writer and a great storyteller. His books have been translated into 33 different languages, published in over 35 different countries. There are over 350 million copies of his novels in publication, with some of his most
Any working group, steering committee, strategy setting council and so on, will be more successful if it understands its purpose, responsibilities, and overall expectations. Outlining all these expectations will ensure a higher committment and engagement rate from its members. This is also the case with
There are different takes on what veracity refers to. The overall consensus is that data veracity reflects the truthfulness of a data set and your level of confidence or trust in it. I’ll take this a step further and say that data veracity is your
So far I’ve provided an overview on 6 different maturity models which I will post links below in case you’d like to learn more about them. Maturity models can provide a road map to follow in order to advance from one maturity stage/ level to
I’m not a fan of meetings in general and data governance requires quite a few and they are always packed. To be as efficient as possible, you need an agenda, for the attendees to come prepared and for the chair to keep the meeting on
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 –
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
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
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
Due to popular demand, I’m continuing the series of covering existing data governance maturity models. For a recap of those covered so far, you can find each one here: Stanford’s Maturity Model IBM’s Maturity Model DataFlux’s Maturity Model Gartner’s Maturity Model Oracle’s Maturity Model Open