What is the main benefit of QA'ing data during an implementation?

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The main benefit of quality assurance (QA) during an implementation is that it enables you to verify that data is being ingested and calculated correctly at each milestone. This practice is critical because accurate data is the foundation for any analysis or reporting effort. Ensuring data integrity means that any insights drawn from the data will be trustworthy and valid.

By conducting QA, teams can identify inconsistencies or errors early in the process, which can save time and resources in the long run. If data issues are left unaddressed, they may lead to faulty conclusions and misguided decision-making downstream, significantly affecting business performance.

Other options suggest various advantages but do not align with the primary purpose of QA. Implementing more first-party data may be a goal, but it doesn't directly relate to the benefits of QA itself. Likewise, creating additional dashboards or seeing the solution design, while useful for the overall project, does not directly address the QA focus on data integrity and accuracy.

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