Best practices recommend limiting the data source to how many documents?

The best practice of limiting the data source to a specified number of documents, such as 9 million, is generally rooted in the principle of manageability and efficiency in project management, particularly in projects that involve data analysis or review processes. Keeping the data set to a finite and relatively smaller number aids in ensuring that the team can effectively handle, analyze, and extract relevant information without becoming overwhelmed.

With a limited data set, teams can focus their resources and attention on the most pertinent documents, streamline their review processes, and reduce the potential for oversight or error. This approach not only enhances productivity but also accelerates decision-making as information can be processed and analyzed more quickly.

By emphasizing this limit, project managers can better allocate their workforce, improve the quality of insights gained, and enhance overall project outcomes. Reducing the data set size to a more manageable number aligns with common practices in data analytics, information governance, or e-discovery processes, where clarity and precision are paramount.