BROU (Bank of Uruguay) Challenge

BROU’s implementation of new banking Core, required them to migrate data from the different source applications to the target data structures of the new system.


Quanam built a data model with physical restrictions, generating quality rules built to detect erroneous values in certain variables for the correct data cleansing (duplicate clients, customer attribute corrections, addresses, etc).


  • The data cleansing process provided BROU with quality data for migration to the new system.
  • It allowed the easy identification of requirements in the new system, in order to avoid future quality problems post-migration.