Here's how you can navigate new data governance frameworks and policies as a data manager.

Before deep diving into data governance, we must understand policies like GDPR or CCPA, by their basic rules: 1. Data Subject Rights: These are the rights of individuals whose data you're handling. They can ask to see their data, correct it, or even delete it. 2.Data Retention Periods: This is how long you're allowed to keep someone's data. It varies depending on the type of data and why you collected it. 3. Lawful Bases for Processing: This is the reason you're allowed to use someone's data. It could be because they gave you permission, or because you need it to fulfill a contract, among other reasons.

After the getting the hold or touch of new policies, you must go through these keypoints: a) Understand the Impact: After you know the policies, see how they affect your current data handling. This could change how you store, access, or use data. b) Identify What Needs to Change: Find out which parts of your data handling need to be updated to follow the new rules. This might require working with different departments, as they all might use data in different ways. c) Plan Your Changes: Once you know what needs to be updated, decide what's most important and plan your changes. This will help you use your resources wisely and make sure you're following the rules, while also causing as little disruption to your business as possible.

Getting grasp on all the core aspects of data governance, you must update your systems based on these parameters 1. Technical Changes: Update data storage and processing systems for compliance. 2. Process Changes: Modify data collection, usage, and deletion processes. 3. Training: Educate staff about new policies and compliance. 4. Monitoring: Regularly check systems to ensure continued compliance.

Training staff about data governance policies is crucial for compliance with new policies along with issues related to data scalability and data quality. Key aspects as follow should be considered while training the staff. 1. Awareness: Make sure all employees know about the changes and understand their role. 2. Training Sessions : Create clear and comprehensive training programs which leads to cover up staffs' routine work differently. 3. Regular Training: Make training a regular occurrence as it leads to create a culture where everyone is aware of data issues and takes responsibility for handling data correctly. 4.Reduce Errors: By training indirectly leads to reduce the risk of mistakes that could lead to non-compliance.

This might just be an odd AI-article, but if there's a new data governance framework, the first question you need to ask is why. Is there a data governance manager telling you to change something but not telling you why? Is there some problem right now that makes data governance ineffective and you need to fix it? Are you following a vendor's framework and they've made changes? If someone else's framework changes, it doesn't necessarily mean that you have to change. You have to determine what makes sense for your company.