Session Outline
Data Governance is often neglected by businesses because it is seen as an extra work and extra cost initiative. It is also full of strange words for them, such as: metadata, glossary, linage, critical data elements, etc. While most of the ‘words’ do not directly impact businesses, they certainly concern data quality, which is key when it comes to data science, business recommendations, and internal/external/regulation-based reporting. This is where Data Governance plays an important role to support business, ranging from data collection, data rules, critical data elements, and data usage.
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