Z
ZenMasta
Is there a way to find similar records where the fields are not always
exactly the same?
I thought about using the duplicates wizard but that wont work because
sometimes there are slight variations and I don't knowhow to make the
duplicate wizard not look for something exactly.
example:
biznissname 1, 123 Maple Rd. Sufolk, VA 12345 800-123-4568 831-465-1234
company one, 123 Maple Rd. Suffolk, VA 12345 800-123-4568 831-465-1234
company 1, 123 Maple Rd Suffolk, VA 12344 800-123-4567
831-465-1234
I have lots of fields I can use for comparison.
Mostly address, city state zip, phone, fax so basically if I can compare
using the other fields an employee can use good judgement or call the
customer to determin/confirm etc.
I'm not looking for an automatic way to combine the records. I just need
help finding what are probably duplicates.Tthe address/phone info will be
enough to help us decide if it is really a different customer or maybe they
just changed the name (or maybe we spelled it wrong etc)
Notice 2 of them have periods in the address, one of them spells the city
wrong, and one has a different zipcode, and another has a slightly different
phone number
All of this data is in one table.
Thanks
exactly the same?
I thought about using the duplicates wizard but that wont work because
sometimes there are slight variations and I don't knowhow to make the
duplicate wizard not look for something exactly.
example:
biznissname 1, 123 Maple Rd. Sufolk, VA 12345 800-123-4568 831-465-1234
company one, 123 Maple Rd. Suffolk, VA 12345 800-123-4568 831-465-1234
company 1, 123 Maple Rd Suffolk, VA 12344 800-123-4567
831-465-1234
I have lots of fields I can use for comparison.
Mostly address, city state zip, phone, fax so basically if I can compare
using the other fields an employee can use good judgement or call the
customer to determin/confirm etc.
I'm not looking for an automatic way to combine the records. I just need
help finding what are probably duplicates.Tthe address/phone info will be
enough to help us decide if it is really a different customer or maybe they
just changed the name (or maybe we spelled it wrong etc)
Notice 2 of them have periods in the address, one of them spells the city
wrong, and one has a different zipcode, and another has a slightly different
phone number
All of this data is in one table.
Thanks