Showing results for 
Search instead for 
Did you mean: 

Alteryx Designer Knowledge Base

Definitive answers from Designer experts.

Gather all 9 clues to complete the final Weekly Challenge on Dec 16!

Learn More
The Fuzzy Match Tool has the ability to match first names against a set of Nicknames to help return better matches. The Nickname table (which can be found at C:\Program Files\Alteryx\bin\RuntimeData\FuzzyMatch\Nicknames) is used as a lookup within the Fuzzy Match tool when you select it as an option. Selecting “Name w/ Nickname” as your Match Style automatically selects the Common Nicknames table, but often users would like to add to this list or even create their own custom table. This article will walk you through how to edit this list, and provide you with some tips and tricks when matching with nicknames.  Creating a Nickname table   The nickname table is installed by default in C:\Program Files\Alteryx\bin\RuntimeData\FuzzyMatch\Nicknames and is saved as an Alteryx database file (.yxmd). We can easily pull this into Alteryx to add additional names, or we can even generate our own table. The .yxdb file contains 2 fields:    GroupName Name Full Name goes here Nickname goes here William Bill   Adding Additional Names:  Creating your own file:  Once the file is created, place the .yxmd in the directory above. You should now be able to see multiple tables available from the dropdown within the tool.:        Tips and Tricks when working with Nicknames   Set Generate Keys to “None” when using the Names w/ Nicknames match style IF you have the First Name in a single field. If your name is contained in a single field (John Smith or Smith, John), you will want to select a method to Generate Keys and check the box “Generate Keys for Each Word”. The “Soundex” method of generating keys is generally preferred when working with names.
View full article
The Fuzzy Match Tool provides some pretty amazing flexibility for string joins with inexact values – usually in the case of names, addresses, phone numbers, or zip codes because many of the pre-configured match styles are designed around the formats of those types of string structures. However, taking advantage of the custom match style and carefully configuring the tool specific to human entered keyword strings in your data can also allow you to use the loose string matching feature of the tool to match those values to cleaner dictionary keyword strings. If done properly, it can help you take otherwise unusable strings and, matching by each individual word, recombine your human entered data to a standardized format that can be used in more advanced analyses.
View full article
In life, there are few things black and white. There are gray areas everywhere and the lines that separate can be a little fuzzy. The same holds true for data – especially when it’s human entered. That’s why we have the Fuzzy Match Tool – if your data isn’t clear as day, you can still get value out of your records by matching them to something a little more standardized.
View full article
Tips and Tricks for Fuzzy Matching.
View full article