Challenge
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Today, data governance is key for companies to guarantee data quality, security and compliance, as well as operational efficiency and decision-making
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However, its implementation is very complex because it is a cross-sectoral issue in the organization and its benefits are, in the short term, difficult to quantify
The Key Questions
1 —
How to make data a real asset, used in the broadest and most relevant way possible in the company, with a shared vision and a pragmatic roadmap to achieve it?
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How to guarantee security and compliance in all data processing?
Approach
3 pillars:
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Organization (which data users, which roles of Data Owner, Data Steward, Data Custodian and Data Officer, what decision-making processes and monitoring)?
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Acculturation: how to train teams to understand and interpret data useful for decisions?
3 —
DQM: what are the rules and tools for data management?
Results
1 —
A dedicated organization defined and understood by all
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Successful data acculturation
3 —
A sharp increase in data quality
At the heart of the subject
Similarly, it is also critical to rely on a certain number of processes and best practices that allow for efficient and controlled data management.
