#datagovernanace

Data Governance: definition, goals and tasks

Data Governance is a rather capacious term that includes a strategy for managing the availability, usability, compliance with standards, consistency, integrity and security of data in organizations. Data management purpose is to ensure the effective use of corporate data. The main challenge is to determine how, where, why and under what circumstances data is collected and stored.

Digital transformation is happening very fast. This entails the need for new cybersecurity solutions and capabilities. At the moment, data security is an absolute priority. Companies that actively work with data are interested in finding ways to prevent data leakage and improve their operations.

Often Data Governance is used as a synonym for Data Management and Master Data Management. However, all these 3 concepts have a fundamental difference.

Data Management is the process of managing the full data cycle within an organization, i.e. the implementation of data management according to a specific strategy.

Data Governance is the core component of Data Management and is primarily focused on documentation, ownership, access delegation, data retrieval methods, regulatory compliance, and data security measures. Data Governance forms the data management strategy.

Master Data Management is the process of managing major data assets in order to identify key data entities (suppliers, stakeholders, customers, etc.).

Data Governance can also define requirements such as a Master Data Management model, assignment of roles and responsibilities for data creation, definition of data retention policies, data curation, and data access control. This, in turn, affects the effectiveness of Master Data Management.

The absence of an effective Data Governance program can lead to various errors and problems with data, inaccuracies in the system, and, as a result, negatively affect the company’s activities. For example, a registered customer may have a different name in different departments of the company. This leads to problematic data integration, data integrity issues, incorrect business intelligence, and inaccurate reporting.

Tasks and goals of Data Governance:

Benefits of Data Governance:

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