As data quality can make or break the effectiveness of data-driven decision-making processes, data quality remains a top priority for any organization. So, let’s kick off the new year with an overview of the key data quality trends that will shape how you manage and leverage the quality of your data.
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.
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?
Do most data blogs make you feel like everything you should do is expensive, time consuming and requires complex skills? Well, this blog is different. Here are 5 practical recommendations (in no particular order) to leverage your existing business data with less effort than you think.
