T8 EDW Tutorial: Developing Your Essential Metadata Capabilities

Time: Thursday, March 30th, 8am - 11am Pacific Time (PST)/11am - 2pm Eastern Time (EST)

This Enterprise Data World (EDW) Digital Tutorial can be purchased on the official conference website, but the live tutorial will occur within the DATAVERSITY Training Center. You will receive your unique login credentials and confirmation once you've registered for this paid Tutorial at: https://edw2023digital.dataversity.net/registration-welcome.cfm

Registration for this Tutorial will also give you access to all active tutorials within the same time slot.

All paid Tutorial registrations include access to the free 2-day program Tuesday-Wednesday. Please note that you will receive separate login instructions for the free program, as it will take place on a different platform than the Tutorials. See your registration confirmation for details.  

The EDW Digital Conference site can be found at: https://edw2023digital.dataversity.net/index.cfm

Tutorial Description

Many companies have realized the important role of data in sustaining a company’s competitiveness in the long term. They also elaborate on the concept of “data-driven” in their business models. The realization of this concept requires the implementation of fundamental Data Management capabilities such as metadata management, data lineage, and knowledge graphs.

We demonstrate a 3-phase method to establish a metadata-driven organization by developing these three fundamental metadata-related capabilities. This method is the result of 5 years of practical experience and covers the following topics:

• Scoping an initiative
  • Data lineage, knowledge graph, and metadata management are complex concepts that have different meanings in various contexts. Every company should develop a metamodel of these capabilities that meets the company’s needs and resources. This will assist in the correct fit-for-purpose scope.
• Implementing
  • Several approaches and tools to implement metadata-related capabilities exist. A company should make the correct choices to make implementation feasible.
• Bringing the capabilities into “business-as-usual” operations
  • The results of the implemented metadata-related capabilities can be used for multiple purposes by various stakeholders. However, bringing the outputs of these capabilities into practice faces challenges.

After conducting this session, participants will know how to:

1. Identify key business drivers for metadata-related initiatives
2. Involve key sponsors and stakeholders
3. Define a feasible scope
4. Prepare functional requirements
5. Choose the appropriate method of implementation
6. Choose a proper set of tools
7. Promote various use cases for the initiatives’ outcomes

Speaker: Irina Steenbeek

Dr. Irina Steenbeek 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 in mid-sized companies and data lineage. Additionally, Irina has practical experience in software implementation such as ERP and DWH/BI, management consultation, financial and business controls, and data science.

Through 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.

In 2016, she founded Data Crossroads, a training and coaching services enterprise in the area of data management. Data Crossroads focuses on assisting companies in improving their decision-making and company performance by getting control over their data and information resources.

Irina is a strong believer that the success of data management initiatives is based on the combination of a pragmatic approach, clear and transparent methodology, and time. She has shared her approach and implementation experience by publishing "The 'Orange' Model of Data Management," "The Data Management Toolkit," and "The Data Management Cookbook." She is also the author of various white papers and articles on the topic of Data Management.