Why should you mask data in Salesforce and what kind of data should you be masking to ensure security, compliance and trust. Let’s take an example. You may have a policy that states that customer data should not be accessible in sandbox. Very common if we are doing offshoring working with third party developers and...
We talked earlier about masking sandboxes. The second step is to reduce production data. The idea here is that obsolete information in your Salesforce production org is just increasing your cost, risk and potentially the chances of non-compliance, related fines and embarrassment. For building this consensus, we need to collaborate with internal stakeholders such as...
We earlier talked about reducing production data. The third step to reducing data in your Salesforce org is to define retention policies. The idea here is to identify what type of data you have, classify it, and applying retention policies that are in line with the security and compliance requirements of your organization. The third...
Reducing data footprint directly reduces the cost and risks of potential data leaks and embarrassment, as well as benefits your organization.
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