Data Management and Data Governance 104: The Yin force of Data Governance. Part 1. Rules
In our saga about the duality of data management and data governance, we are going to have a look at data governance. Data governance exercises a Yin force...
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...
Data Management and Data Governance 103: The Yang Force of Data Management
I would like to take a closer look at data management, as it is the ‘Yang force’ in this duality, meaning it has an active, and leading role within the relationship...
Data Management & Data Governance 102: DAMA-DMBOK vs DCAM
In this article, I aim to explore the deeper discrepancies between DAMA-DMBOK and DCAM in the approaches and to discuss possible reasons for that...
Data Management & Data Governance 101: The Yin and Yang Duality
Recently, I have been exploring the concept of Yin and Yang: a ’concept of dualism describing how seemingly opposite or contrary forces...
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...
Data lineage 105: Implementation guidelines
If by now you have decided that you and your company are ready to continue this journey and start the implementation of data lineage, let’s draft the key steps you need to take.Before we start, it is worth mentioning that an established data management framework and collaboration between data management professionals and stakeholders are a prerequisite for successful...
Data Lineage 104: Documenting data lineage
In this article, I would like to discuss and give my answer to the most complicated question: how should data lineage be documented? Before you even start thinking about documenting data lineage, there are a few crucial decisions to be made beforehand? What is the scope of data lineage in your situation?What method of documentation will you choose...
Data Lineage 103: Legislative requirements
Let's take a look at the requirements from the viewpoint of legislation.BSBC239 (PERDARR) and GDPR as key legislative triggers for data lineageAs an example, we will take requirements of the Basel Committee on Banking Supervision's standard number 239 “Principles for effective risk data aggregation and risk reporting” (BCBS239 or PERDARR)1and the EU General Data Protection Regulation (GDPR)2...
