Organizations want to work more and more with data, and the amount of data we use also keeps growing. Consequently, proper management of data is crucial. Defining data policies and establishing procedures to achieve data accuracy, reliability, integrity and security can help.
Do we need specific input methods and formats, restricted user access to certain data? Is there a need to gather information about the source and quality of the data used? If we want to use data to gain insights, and consequently make decisions to link actions to, it better be reliable.
Data governance helps with this: it is a set of rules, processes and role delegations that ensure privacy and compliance in an organization’s data management. Questions such as “Where does GDPR sensitive information reside?”, “Does our CRM system store social media information?” or “Where can we find customer data?” are answered with this.
Why is data governance useful?
Effective data governance helps organizations to:
- Ensure the accuracy and integrity of their data
- Protect sensitive and confidential data from unauthorized access or use
- Comply with relevant laws and regulations
- Improve the efficiency and effectiveness of data management
Process of data governance
A data catalog is an organized inventory of all the data in an organization. So-called metadata is used to manage this data, such as information about its structure, provenance, quality and use.
Data Governance Tools
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