Why user adoption is so important for the long term success of tool implementation

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.