Successful Reference Data Governance
Reference data is increasingly becoming an area of focus for data management, after decades of being overlooked as mere “code tables”. The realization that reference data must have zero defects and is necessary for a wide range of needs from transactions to analytics is spurring a welcome response in the market. However, the core need is successful governance, without which reference data will remain a tangle of unsynchronized values, uncertain semantics, partial mappings, and wasted effort. This webinar provides an overview of the governance functions needed to successfully manage reference data. It is based on real-world experience, and offers practical advice. Specific concerns are addressed, such as the different governance needs of external and internal reference data, the different types of reference data – taxonomies, external entities, constant values, and even time series. The difficult topic of keys is also discussed.