Our Story

Data Crossroads Academy was founded in January 2023 by Irina Steenbeek. It is a place where data management professionals, as well as professionals with other areas of expertise can gain and expand their knowledge of data management, as well as upgrade their practical skills.

A few words from Irina...

I started my career in data management from scratch in 2010.
At that time, I gathered and compiled information from Google and applied it directly in practice at a mid-size company. I did not follow any formal courses, nor was I familiar with DAMA-DMBOK2 publications. All my knowledge and skills were gained by doing the work.

Over time, I shared this experience in six books.
Now, the time has come to take a new approach—by delivering online training courses. For this purpose, I established the Data Crossroads (DC) Academy.

The Academy offers multiple resources for data management and business professionals to build knowledge and upgrade their skills.

These resources include:

  • Recordings of free webinars

  • Training programs consisting of several interrelated courses

  • Tailored training courses on demand

All programs and courses are based on a few “golden” rules.

 

I learned the difference between “training” and “teaching” years ago. Teaching is about getting knowledge, and training focuses on developing practical skills.  At that time, I was working as a training manager for the World Bank. I created and delivered multiple workshops in the areas of a company’s restructuring, business planning, financial, business, and marketing strategies. I trained businesspeople and other trainers. Later, I applied this experience to develop a training academy for an international ERP company. This experience led me to formulate several “golden” rules for practical training.

 

Rule 1: Training must lead to the development of skills that trainees can apply in their practice.

Knowledge is useless if trainees can’t apply and elaborate on it in their daily jobs. To enable it, a practical training session should include little theory and many practical exercises. The more participants work, the better results they gain.

Rule 2: Trainees must use a business case during the training session.

It is preferable if participants explore their real business cases. Otherwise, participants can use a realistic business case to develop skills.

Rule 3: Training materials must include models, methods, and templates that participants can use later in their practices.

Reusable templates are a key deliverable of an effective workshop: participants must be able to apply new knowledge and skills in practice.

 

Data management is a multidisciplinary and evolving business area. So, the Data Crossroads Academy will develop itself and assist its participants in their professional growth.

Meet Irina Steenbeek

Dr. Irina Steenbeek is a data management practitioner with more than 16 years of professional experience. Her core areas of expertise include the implementation of data management frameworks in mid-sized organizations and data lineage. In addition, Irina has hands-on experience with software implementations such as ERP and DWH/BI, as well as management consulting, financial and business controls, and data science.

Over the years, she has worked with global institutions and large and mid-sized organizations across multiple sectors, including financial institutions, professional services, and IT companies.

In 2016, she founded Data Crossroads, a training and coaching services enterprise focused on data management. Data Crossroads supports organizations in improving decision-making and business performance by helping them gain control over their data and information resources.

Irina strongly believes that the success of data management initiatives depends on a pragmatic approach, a clear and transparent methodology, and time. She has shared her approach and implementation experience through several publications, including The O.R.A.N.G.E. Data Management Framework, The Data Management Toolkit, Data Lineage from a Business Perspective, Aligning Data and AI Governance, and The Data Management Cookbook. She is also the author of numerous white papers and articles on data management.

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