Data Management and Data Governance in a Nutshell
Lately, I’ve seen a lot of discussions on LinkedIn about the similarities and differences between data management (DM) and [...]
Data management framework: what, why, and how?
We, data management professionals, often use the term “data management framework.” But do we all have the same understanding [...]
The set up of a data management function follows the logic of the documentation of data lineage
Are you interested to know more about setting up a data management function? The name of this article is [...]
Integrated FP&A shakes hands with Data Management
You often read about one of the biggest business challenges: different business units working in silos. Business partnering is considered one of the means for overcoming it. Last week I found an excellent example of...
Business partnering between Finance and Data Management through driver-based modeling and data lineage.
In this article I would like to talk about one possible area where cooperation between FP&A and Data management professionals can deliver mutually beneficial results. This area combines two independent concepts from FP&A and Data Management: driver-based modeling and data lineage...
Scope your data management initiative by using Critical Data Elements
Recently, the concept of critical data has caught the attention of a lot of data management professionals. I myself was no exception, so I decided to dive deeper into this subject and do some research. In this article, I would like to share some results of my research and my experience with definitions of critical data and critical data elements (CDEs), reasons to use CDEs and key...
What does data management have in common with… an orange?
The analogy of an orange and data management (DM) models came to my mind when I was writing about my analysis of well-known data management metamodels and different maturity models of data management. The orange symbolized my attempts to...
Data Management maturity models: a comparative analysis.
In data management (DM), we have a plenty of data management maturity models, the most well-known are: DAMA-DMBOK, DCAM, CMMI CERT-RMM (Data Management Maturity Model) by CMMI, and a few others. When I look at all of these models...
Choosing a data management model: DAMA-DMBOK 2 vs DCAM®
If you are going to implement the data management function, your first step is to look at existing industry reference guides. Your first choice will definitely be the DAMA-DMBOK Guide by...
What keeps CFOs awake at night? Data management in finance.
Nowadays a lot of concerns in business environment are focused around data. There are several drivers for that, such as regulations (e.g. GDPR), the growing amount of data, new technologies in data processing and analysis etc.
