What better way to start this new century than to go over the pros and cons of the 4th Industrial Revolution. The 4th industrial revolution is a term coined by Professor Klaus Schwab. He is the founder and Executive chairman of the World Economic Forum,
I think that sometimes people still struggle to understand what data governance is. That’s why, when I’m talking about data governance I like to first make a reference to HR and Finance. This is usually when I’m asked what I do for work, what do
When you’re setting up a data stewardship program, you need to start thinking of not only who to assign as data stewards and the operational framework, but also who the data stewards should report to, from a data governance organization perspective. The role of the
This quick guide provides an overview of the basic concepts in fault tree analysis technique, as it applies to data quality. For some more well-known and useful root cause analysis techniques, please check out the: 5 whys analysis Fishbone diagram Barrier analysis Pareto analysis Definition
In the competitive world today, clearly defining and understanding business terms is the first step to guaranteed success. Incorrect interpretation is causing misunderstandings and increase the risk of having bad information and bad decisions. These, in turn, lead to expensive operational, marketing, sales, procurement mistakes
As most of us already know, the data governance sponsor plays a critical role in the success of a data governance program. Without sponsorship at an executive level, data governance programs often lack the funding and resources required to get off the ground. They simply
I’ve previously wrote about more obscure, though intriguing, data roles I’ve encountered, but I’ve been asked several times to go over the main data roles found in a data governance program. I’ll skip the sometimes dreaded introduction and get straight to it. The 5 main
To get a successful business intelligence (BI) program started, I believe it should aim to address and abide by the following 6 goals: 1. Information must be easily accessible End users must be able to access information in a timely fashion so that their timely
Are you planning to start a data governance program or have started one and want to know how to evolve it? A data governance maturity model might provide you with solutions. I’ve had the pleasure to deliver a webinar for DAMA UK and provide the
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