In the age of shifting to digital transformation, data has become the value asset among various organizations throughout the world. In the data-driven world, managing the collected data has turned into a top priority for expanding organizations. This has led to the concept of Data Governance.
Data Governance‘s objective is managing the data by systematically setting policies regarding the collected data from the process of generating the data to storing, analyzing, erasing, accessing, protecting, and utilizing by placing importance on the aspect of processes, personnel, and technologies.
Why you need Data Governance?
Utilizing the Data Governance is establishing the policies to conduct data management. The direction of Data Governance might be varied by the number of employees in the organizations, e.g. the approach of Data Governance of a small organization might be different from a large organization which require more regulations or measures to cope with the scale of data within the organizations.
The Data Governance scheme focuses on 3 significant components, People, Process and Technology by based on the Data Lifecycle management which needed to clearly specify who will be responsible for the data from the stage of collecting till the process of erasing the data.
Purpose of Data Governance
- Data Security
In order to secure stored data without leakage, because there are some of classified information kept inside. The responsible person to administer must be appointed and back-up data must be available in case data recovery is needed.
- Data Privacy
In order to maintain privacy of the owner of stored data, consent or permission from the owner must be gained.
- Data Quality
In order to utilize the data, the standard quality of data is needed to be set with accuracy and complete.
Benefits of Data Governance
