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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 data roles found in data governance programs are: 1. Data …read more
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 decision making is not compromised by this. Ease of accessibility …read more
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 and provide the attendees with the following: an understanding into what maturity models are and how …read more
Data overload In a world where more data is being created than we can shake a stick at (around 2.5 quintillion bytes of data created every day), it’s no wonder that we’ve reached tipping point. Worryingly, many organisations are ill-equipped to deal with the vast amount of data they hold. They have large, fractured landscapes …read more
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 basis of the root cause analysis. The chain of relationship …read more
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 notable books being Carrie, The Shining, The Stand, The Green …read more
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 lot of challenges in getting that deliverable right in the …read more
Data warehousing and business intelligence users assume, and need, trustworthy data.In the Gartner Group’s Online IT Glossary, data integrity and data integrity testing are defined as follows:Data Integrity: the quality of the data residing in data repositories and database objects. The measurement which users consider when analyzing the value and reliability of the data.Data Integrity …read more
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 commitment and engagement rate from its members. This is also the case with a Data Governance Council (or however else you would like …read more
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 level of confidence/ trust in the data based on its …read more
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