13 Oct

How to add business context on top of your Data Catalog

Great Data Products Start With The People
Juha Korpela
Chief Product Officer


  • Learn the benefits of a top-down business-centric approach in complex data projects
  • How to drive the adoption of data catalogs, and fully unlock it's value
  • How to capture business knowledge for the benefit of your governance efforts
  • How Ellie supports this process, and what is coming next to increase these capabilities
Oct 2023
Helsinki time, EET
1 Hour

Let's add context to your Data Catalog!

Data products have been a great addition to modern enterprise architecture as they give the ability to manage data and see from the technical perspective what data is available and where it resides. This is often managed with a data catalog tool. 

However, what makes a data product valuable, is that it's not just a technical implementation, but there's a business context behind it, that needs to be captured and well understood, in order to lead to a valuable business outcome. Data catalogs can be augmented with business-centric information that gives a fuller picture of your data product landscape.

In this webinar we are going to walk you through the business-centric approach and how to capture your contextual metadata to bring a full picture to your data catalog. This knowledge usually resides in your business processes and capabilities and of course the people, such as business analysts, product managers, and domain experts.

We'll introduce a simple data modeling approach to capture and maintain this valuable information. And show from an architectural perspective how to link the business context with your data catalog.

Meet the Speaker

Juha is one of the leading data modeling experts in the Nordics. He is a strong advocate for always staying business-driven when designing new data architectures and believes that the future of data is in the hands of business users. Over the last decade, Juha has worked in multiple industries (such as manufacturing, banking, and the public sector) in a variety of high-profile data management roles. His main areas of expertise are data modeling, data warehousing, information architecture management, data mesh, and agile methodologies.