Knowledge Sharing

I'd like to share some practical lessons I gathered during the Data Governance roundtable hosted by Raito.

Customer Data Platforms offer a comprehensive solution for collecting, organizing, and acting on data related to every customer interaction.

Learn more from our experience implementing the Collibra Data Marketplace at some of our clients.

In this blog, we explore the guidelines set by KU Leuven, shedding light on how to navigate the intricate landscape of generative AI responsibly.

Data governance is no longer optional. Businesses are on a path to data-driven decision-making and privacy laws are dictating the need for data integrity, security and compliancy. Choosing the right data governance software is an essential part of the road to data mastery. In this article we discuss why we believe Collibra is the best data governance tool in the market.

Great Expectations, an open-source Python library, provides an excellent framework to kickstart your Data Quality by Design projects, creating visibility for data quality issues, and triggering calls to action for everyone involved.

Data Governance is a collaborative process, and its implementation hinges on user adoption. Fortunately, much can be done to boost Data Governance user adoption. Check out our 3 priceless tips.

Can semantic data discovery deliver on its promise to provide a better understanding of your data and facilitate the automation of your business processes? We know it can. Learn from our experience to understand how it works and what you can achieve.

Chances are you have recently heard a lot about data mesh, a decentralized approach to sharing, accessing, and managing analytical data. So, let's dive into a practical example to help you understand what a data mesh stands for.