Two things can be true at once. On the one hand, we’re existing in the ‘data age’, where large amounts of data are being produced rapidly, and data governance is crucial. On the other hand, you can’t have data governance without data quality.
Why are data quality and data governance so interlinked? What should come first, and why?
While 85% of organisations consider data to be one of their most valuable assets, 95% of businesses have been impacted by poor data quality (Experian). Organisations must close this gap by consistently monitoring their data, utilising the right technology and fostering collaboration between those responsible for data quality across the enterprise.
Join us in the first episode of this three-part series as we discuss:
Why you can’t have data governance without data quality
Data quality within the framework of a data governance program
The role of technology in processing and evaluating data
Can non technical employees take any responsibility for data quality?
And much more!