The quality of data used in business is more important now
than ever before. Accordingly, in order for organisations to deliver good
business results, their data must be accurate, and the use of that data must be
governed through policy and monitoring. How do business leaders prevent data
errors and ensure quality governance?
The most crucial step is establishing a data governance structure, which is the foundation for data governance success. Data governance teams are tasked with ensuring that data is handled smoothly and effectively.
Ahead of the Data Governance & Management Summit 2020, taking place 25-27 February at the Parkview Hotel, Melbourne, take a look at our 7-step guide to help you develop a data governance structure, avoiding common mistakes that pose risks to your data assets.
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