The Entity Matching process involves identifying how different data records correspond to a single real-world entity by comparing data records and assessing their similarity. This process minimizes false positives and false negatives using similarity analysis, which can include deterministic algorithms based on predefined rules and patterns, as well as probabilistic algorithms that calculate the likelihood of records representing the same entity, allowing for continuous improvement as more data is analyzed.