Fuzzy Match Merge Mode against two Data Sources
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HI All,
I have two data sources and i would like build a workflow which uses the fuzzy match algorithm and match percentages (100% -> 95% -> 90% -> 85% -> 80%) against a given record.
I have attached my flow but at the moment i am not getting any results ( i am obviously doing something fundamentally wrong)
Data Source 1
Company ID (Long) | Company Name | Primary Address Line 1 | Primary Address Line 2 | Primary Address Line 3 | City | Zip/Postal Code | State/Province | Country |
001f100001LcrEDAAZ | Mason LTD | Av de Miremont 16 | - | - | Genève | 1206 | - | Switzerland |
Data Source 2
lei:LEI | LegalName | FirstAddressLine | AdditionalAddressLine | City | PostalCode | Region | Right_Country |
5067002PTFI40N9JMB37 | Mason LTD | avenue de Miremont 16 |
| Genève | 1206 | CH-GE | Switzerland |
Data Source 1 | Data Source 2 |
Company Name | LegalName |
Primary Address Line 1 | FirstAddressLine |
Primary Address Line 2 |
|
Primary Address Line 3 |
|
City | City |
Zip/Postal Code | PostalCode |
State/Province |
|
Country | Right_Country |
Company ID (Long) |
|
| Region |
| lei:LEI |
| AdditionalAddressLine |
Using the Example Above ;
Company Name ,City Zip & Country Match (but the Primary Address Line 1 has an abbreviated word from "Avenue to Av")
Looking forward to your assistance
Many thanks
Masond3
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Hi @Masond3
For fuzzy matching using the merge mode, there are a couple of things that you need to do first to prepare your data. Here is an example workflow and you should be able to adapt the steps to your data sets. I have also attached the workflow to this post.
 
You may also find this recorded training helpful: https://community.alteryx.com/t5/Videos/Fuzzy-Matching-for-Beginners/td-p/330575
