What is the role of "data mapping" in a Relativity project?

Data mapping plays a critical role in a Relativity project by establishing relationships between various data sources. This process involves aligning fields from different datasets to ensure that the relevant information is accurately linked and represented across the project. This is particularly important in e-discovery and document review processes, where data from disparate sources must be integrated in a way that allows for efficient searching, sorting, and analysis.

By defining these relationships, data mapping facilitates better organization and retrieval of information, ultimately improving the efficiency of workflows within Relativity. It allows users to see how different pieces of evidence are connected, which can be crucial in building cases or understanding the context of the data being analyzed. This clarity can lead to more effective communication among team members and better decision-making during the review process.

The other options, while relevant to different aspects of project management or data handling, do not align with the primary purpose of data mapping in the context of Relativity.