Work in banking analytics?
Do any of these statements ring a bell?

"97,000 restaurants in Singapore according to the data. Not even remotely possible"
"KFC.  Kentucky FC.   K.F.C.  
K Fried Chicken.
How many different ways can one restaurant’s name be captured in a system?"
"What is Inditex? And Fast Retailing? Why do so many people shop there?"
"Why is Luxembourg such a big destination?"

 





What can merchant match do?
Get 6-12 months of work done in 2 hours

Deduplicate clean and
match merchant
data with a
global merchant repository

Provide you with
cleaned merchant
data and a
summary report
Enable actionable
merchant-centric
analysis with
speed, scale and accuracy

"How do you even do this!"

Every bank we’ve worked with


As easy as

  Upload
a csv file with your merchant descriptions, MCC codes and corresponding merchant transaction count
  Crunch
your data without any manual intervention. Our engine will work it's magic
  Download
your cleaned merchant data along with a summary report


Merchant Match has you covered. Every step of the way.




The Power of Merchant Match

1
million rows
in
2
hours
with
80%
accuracy



We’ve cleaned over 600 million rows of data down to 3 million unique merchant names

 

Get started

Upto 100,000 rows


Upto 1 Million rows


1 Million + rows




It’s never been this simple. To get squeaky clean data.