Fixing data quality issues is only part of the solution. In order for these not to reoccur, one needs to identify the root cause and prevent from further creating poor data quality. As we know, for every effect there is a cause, and that’s the
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
One of the main functions of the Business Intelligence (BI) team is to provide the right information to the right people at the right time. 99% of the time, this comes in the form of well-designed, structured, and built reports and/or dashboards. There are a
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
The principles of data quality management are a set of fundamental beliefs, standards, rules and values that are accepted as true and can be used as a foundation for guiding an organization’s data quality management. They have been adapted from ISO 9000 principles of quality
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 is here to stay. In fact, your current data has already outlived or will most likely outlive its current systems and processes. What you need to be mindful of is that every time data goes through a data integration process, there are chances of