GOVERNANCE FRAMEWORKS

Data Privacy

Data governance is essentially a process through which businesses ensure and maintain data privacy. These practices are also designed to make sure that a business has data that adds value to itself, that data is usable, accurate, and secure.

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Data Security

Data security is another key component of a Data Governance Framework. Data security refers to how all digital data will be protected once it has been collected. This part of the framework will outline the process for protecting that data from unauthorized access, data breaches, cyber-attacks, theft, and more. In addition to that process, this area of the framework should also address who is given access to certain data sets, and the procedure for responding to any destructive force.

How do you determine what data you have, where it is, and how it’s being used?

Deliver comprehensive, automated data discovery, analytics, and curation. An integrated, modular solution incorporates data catalog, privacy, and data quality capabilities that complement each other to deliver an end-to-end governance experience.

How do you build trust in data to unleash it for new value creation?

Automate data democratization to improve data access and appropriate use. Automatically apply best practices to align data use with your policies and quality requirements, so users can quickly find the information they need with context already applied.

How do you decrease data risk exposure?

Apply advanced analytics to prioritize risk remediation and improve transparency. Determine the highest ROI for risk management based on data value and potential exposure, then use automated procedures to speed resolution.

Reduce costs, improve the value of your data and boost business agility and profitability.

 

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