Data Management

DAMA one-pager: https://opusmgt.files.wordpress.com/2020/04/dmbok-dama-overview-20200405.pdf

DGI one-pager: https://opusmgt.files.wordpress.com/2019/02/post-10-data-governance-mponce.pdf

The current COVID-19 situation, which concerns us all, demonstrates unequivocally how data and decision-making process are today, more than ever, inseparable. It has also been shown that when we talk about data, behind this simple word hides an unsuspected complexity for the end consumer.

To be usable the data must be collected in very large numbers (volume), come from various sources (variety), be reliable (veracity) and above all, the data must be of quality, otherwise the interpretation of the resulting facts can lead to even more damaging false conclusions.

For businesses, mastering data-driven approach can only be done by the implementation of disciplines and practices known as "Data Governance and Management". Easy to said, very hard to do. It will take time, be costly and probably painful for the organization.

I remembered one of the many pieces of advice from a professor, a mentor now passed away, who influenced the professional life of many of his students at the time.

"Before trying to implement a complex domain, (here – Data Management framework) it is mandatory, or at least very useful, to invest all the time necessary to identify and understand the key concepts of the domain, their relationships and the structure of the available documentation which develops it".

It is like pre-formatting our brain and preparing it to process information and classify knowledge and thus facilitate the communication and the implementation process.“ Lesson that I have never forgotten and which still serves me today.

A year ago, I posted a 'one-pager’ that presented a synthesis of the key concepts of the ‘Data Governance Framework’ from the Data Governance Institute. (DGI)

In the current post, you will find a ‘one pager’ about the ‘Guide to Data Management Body of Knowledge’ from DAMA International. However, with this one-pager, my approach is different. The purpose is, in memory of my mentor, to present the key concepts and structure behind the DAMA guide.

Indeed, although the DGI and the DAMA both deal with governance and data management, the two groups approach it in a rather different way, sharing certain common concepts but also with distinct scope and objectives.

Martin Ponce