Data Security: What Solutions Does Data Governance Offer?

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Discover how data security and data governance complement and support each other to ensure the privacy and availability of your data.
Keeping data safe and accessible is a key concern for businesses that want to succeed in the data economy and become truly data-driven . That's why it's important to understand how data security and data governance support and complement each other.

Since corporate data has become the main asset for driving the vast majority of operations, the search for solutions to the security issue has become more complex.



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During the third quarter of 2022 , approximately 15 million data overseas chinese in canada data were exposed worldwide through data breaches. This figure had increased by 37% compared to the previous quarter.

Source: Statista



In every company there is a tension, sometimes unresolved, between information governance and data security culture . When the protection of this asset increases, restrictions increase and this can affect the access and usability of the data and, with it, operations. In any case, both data security and data governance are critical for data-driven companies.



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Only 3% of business data meets basic quality standards.

Source: Harvard Business Review



The challenge, however, is to find a balance to avoid slowness, loss of agility and the imposition of restrictions in an environment of security and compliance with regulations. And at the same time, to deal with cyber attacks, breaches of critical information and problems with clients, suppliers and partners due to the privacy or lack of privacy of their data, or of a legal nature due to the lack of compliance with regulations that affect the image of the organization.

What is the solution? Can this paradox be resolved in any way? Can government action ensure data security?

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Data governance and its support for data security
Finding a balance between data security and performance is the biggest challenge for the various lines of governance – the system of policies, rights, responsibilities and procedures that are created and used to control data assets.

Define data ownership and access levels: This creates an operational framework that facilitates control and monitoring of how different users interact with data.

Specify the physical conditions for the data warehouse: It is also a matter of governance to clearly define where the data should reside geographically.


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The importance of information integrity and security





3. Establish rules for partners : from suppliers to contractors, many companies may have access to the organization's information. It is therefore essential to control the ability to transmit this data to third parties and to keep it away from the original source, limiting control and increasing risk.

4. Apply business rules to Big Data: this improves the ability to control workflows, while achieving greater consistency. 5. Minimize the impact of the loss of confidential data: systems must offer reasonable guarantees to ensure the confidentiality of data in the event of loss or theft. Data encryption can be a good alternative.