Data Crossroads

Your partner in data management

Your partner in data management


We are experts in data management with 15+ years of extensive experience in various industries. We have developed a universal 5-step approach for implementation of data management, which can be applied to any SME business, independent of industry. We will deliver value to your business by making your data work for you. Through consultation, coaching, and workshops we will help you implement or optimize data management in your company. Read more…

Data-driven business

Benefits for your business
Increased efficiency and cost reduction

Knowing how to effectively manage your data, you will know which data is necessary and what you can cut back on. You will be aware of who needs which data, when and where. This will optimize the use of data, decrease the number of application, reduce time and resources spent on data processing, shorten the path that data flows from its source to the intended destination. It guarantees cost reduction in the long run.

Reduced operational risk

Improving the quality of your data will guarantee more accurate and on-time delivery of information to all relevant internal and external stakeholders. It also means less worries about compliancy with regulations. Next to reduction of manual data processing it will ensure a lower level of operational risk.

More effective and prompt decision-making

When you ensure that all relevant stakeholders receive the information they need, when they need it, the business decision-making becomes faster and more precise.

What we do

What is data management?

According to the DAMA International’s Guide to the Data Management Body of Knowledge (DAMA-DMBOK 2), data management is:

the development, execution, and supervision of plans, policies, programs, and practices that deliver control, protect and enhance the value of data and information assets throughout their lifecycle.

For you, data management might mean getting in control of your data, by:

• Knowing which data you can access, and for which purpose to use it;
• Being able to plan your data needs for the future;
• Ensuring the required quality of your data, including its accuracy and timeliness;
• Being aware of the source of your data and knowing which transformations it undergoes on the way;
• Defining the shared responsibilities for your data;
• Being able to quickly and effectively resolve any data-related issues.

Latest blog posts


Stay up-to-date on the latest trends in the world of data management.

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 may actually be complementary, interconnected, and interdependent

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...

Nice to meet you

About us

Data Crossroads was founded in 2016 by Irina Steenbeek. She is a  dedicated and tenacious Senior Data Management, Financial and IT Professional with 15+ years of extensive experience. Her areas of expertise are data management, software implementation, financial and business control, project management, business process re-engineering, and management consulting and training.

For our projects, we form teams of experts within various industries in order to ensure the highest quality of consultation to our clients. Our teams implement industry reference guidelines to companies, depending on the aims, capabilities and resources of the business. Our approach is highly customizable, and we ensure effective results in any type of situation.

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