When I try to change some fields in my matching model within a dataset, this change is applied to all datasets and not just one. This creates confusion because each dataset may have different values in the matching value field (for example, the same matching model but with different weight percentages). If I change the values of the fields (Account ID, First Name, Last Name), whether in the first matching model or the second, this change in the values will not only affect one dataset—it will affect the others as well. This makes it difficult to analyze the differences that may exist when changing the percentage value, as shown in the image I will attach below for better understanding.
Ubaldo Paniagua
When I try to change some fields in my matching model within a dataset, this change is applied to all datasets and not just one. This creates confusion because each dataset may have different values in the matching value field (for example, the same matching model but with different weight percentages). If I change the values of the fields (Account ID, First Name, Last Name), whether in the first matching model or the second, this change in the values will not only affect one dataset—it will affect the others as well. This makes it difficult to analyze the differences that may exist when changing the percentage value, as shown in the image I will attach below for better understanding.