Artificial Intelligence & Machine Learning technologies have been on the rise throughout several industries. But what about AI & ML in data governance? What developments can strengthen data governance practices, and how will they most likely do that? And what is possible today?
We polled our Collibra consultant Evert on Collibra DQ, the newest extension to the Collibra data intelligence platform. How does Evert see the future of Collibra DQ and Data Quality in general? And what are the most significant opportunities for Collibra DQ, in his opinion?
When a football team is struggling to win games and a new manager is appointed, the first thing they aim to improve is often the defense. This makes sense... you can’t win games if you’re conceding 5 goals every game. Banks often tackle data governance in the same fashion, because of data regulations. But we want to encourage them to not stop there and go from defense to offense.
What is the most challenging part of a Data Governance program? We believe that getting your organization to participate in the program and creating buy-in is the most challenging obstacle on your road to success. In this article we focus on the question: How to build a thriving Data Governance end-user community?
