Irina steenbeek

About Irina Steenbeek

Irina is a data management practitioner with more than 10 years of experience. The key areas of her professional expertise are the implementation of data management frameworks and data lineage. Throughout the years, she has worked for global institutions as well as large- and medium-sized organizations in different sectors, including but not limited to financial institutions, professional services, and IT companies.

Data Management and Data Governance 104: The Yin Force of Data Governance. Part 2. Roles

2023-03-23T13:20:53+00:00December 13th, 2019|Data Management & Data Governance 101|

Each time I read something about data management/governance roles and bodies I experience a mix of emotions: confusion, wonder, curiosity... I have discerned three key reasons...

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Data Management and Data Governance 104: The Yin Force of Data Governance. Part 1. Rules

2023-03-23T13:13:49+00:00November 25th, 2019|Data Management & Data Governance 101|

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...

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Data Management and Data Governance 103: The Yang Force of Data Management

2023-03-23T12:17:15+00:00October 28th, 2019|Data Management & Data Governance 101|

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...

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Data Management & Data Governance 102: DAMA-DMBOK and DCAM Discrepancies

2023-03-23T12:12:03+00:00October 6th, 2019|DAMA-DMBOK2 vs DCAM®, Data Management & Data Governance 101|

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...

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Business Partnering between Finance and Data Management through Driver-Based Modeling and Data Lineage

2023-03-23T12:03:07+00:00April 28th, 2019|Business planning, Data management, FP&A|

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...

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Scope your Data Management Initiative by Using Critical Data Elements

2023-03-23T11:56:24+00:00April 8th, 2019|Data management|

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...

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Data lineage 105: Implementation guidelines

2021-04-11T12:43:16+00:00March 24th, 2019|Data Lineage 101|

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...

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Data Lineage 104: Documenting Data Lineage

2023-03-23T05:11:29+00:00March 20th, 2019|Data Lineage 101|

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...

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