Understanding the Difference: Data Mapping vs. Data Discovery for Data Privacy Compliance Data mapping and data discovery are two important concepts when it comes to data privacy compliance. While both are essential for ensuring compliance, they are not the same thing. Data discovery involves achieving compliance by identifying all the data an organization holds. This includes data that may be stored in unexpected places, such as on personal devices or in cloud-based applications. Data discovery, among other things, is also important for identifying data that may be subject to specific regulations, such as health data or financial information. It’s a crucial step in ensuring compliance with data privacy obligations, such as data minimization, purpose limitation, and lawful processing.

On the other hand, data mapping is equally important for identifying and documenting the flow of data within an organization. This includes understanding not only where data is stored, but how it is processed, and who has access to it. Data mapping is an important step in achieving compliance with data privacy regulations. By understanding the flow of data within an organization, it is possible to identify potential risks and vulnerabilities. This information can then be used to implement appropriate controls and safeguards to protect data subject privacy and comply with many legal requirements,  In conclusion, data mapping and data discovery are both essential for achieving compliance with data privacy regulations. While they are not the same thing, they work together to ensure that personal information is properly protected and used. By understanding the difference between these two concepts, organizations can take the necessary steps to achieve compliance.