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Despite the roll out of a data governance program "more than 87% of companies are classified as having a low analytical and decision-making maturity," according to a study by Gartner.
This article reviews why there is a need to process data effectively and to foster a clear and common understanding of data governance issues.
It is at the heart of interactions between people, processes and technology and encourages the capitalization of asset knowledge within an organization.
The article presents the objectives of the tools to support a data governance approach. It presents the Business Glossary which defines data types and business terms, the Data Dictionary that provides the source of the data and the rules for their use, and the Data lineage process that allows you to master the life cycle. data (what is the source of the data, what are the transformations that took place during its life cycle?).
