The roles of the Data Scientist in a Data Governance strategy

Many companies adopting Data Science today make the mistake of neglecting Data Governance. A study carried out at the end of 2022 from the Enterprise Strategy Group (ESG) institute reveals in particular that 83% of companies admit that their strategy needs strengthening.

However, Data Governance allows you to have data more reliablemore accurate and more relevant to analyze. This discipline is part of Data Science and should not be seen as optional.

This is an essential discipline to optimize the company’s activity and preserve data security. Without it, organizations are exposed to consequences such as loss of productivity or heavy sanctions.

Consequently, Data Governance is one of the Data Scientist responsibilities. Your expertise is needed to define the rules and standards that govern the use of data within the organization.

It is best suited for identifying the best data sources, evaluating their relevance to the business and their overall quality. Likewise, it is capable of defining data management rules, including update frequency, sharing conditions or different access levels.

Your knowledge also allows you to choose the tools AND process to be adopted to ensure the conformity At the GDPR and other standards in force. You can also train employees to use data in a responsible and privacy-respecting way.

To ensure that the Data Governance rules implemented in the company are respected, the Data Scientist can also establish mechanisms in monitoring it’s from to control.

You will have understood: the role of the Data Scientist in a Data Governance strategy is essential. Your expertise is essential to monitor the processing of data and guarantee its quality and security!

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