What must be done to completely re-run name normalization results?

To completely re-run name normalization results, it is essential to remove all previously identified entities and aliases. This process ensures that the normalization can be done from a fresh state, without any previous data influencing the current results. If previously identified entities and aliases remain, they may lead to incorrect conclusions or fail to capture new variations of names that could be significant.

When starting anew without previously recognized data, the normalization process can accurately evaluate the names based on the current dataset, yielding the most reliable and relevant results. This step is crucial in guaranteeing that the name normalization process reflects any updated or corrected information, ensuring the integrity of the overall data handling.

In contrast, merely deleting the structured analytics set does not suffice, as it does not address the entities and aliases that have been previously matched. Updating aliases on email accounts also doesn’t remove older data that could skew normalization results. Running the normalization process multiple times would be redundant without first clearing the previously recognized entities and aliases, as doing so would just reiterate mistakes or outdated information.