CASE STUDY
BBVA measured the impact of this restriction and re-ordered process tasks to minimize the number of verifications getting pushed to the next day .
And they used the tool to better align processes to the behavior of demand .
“ We also gained in terms of team productivity ,” said Rojas .
“ We can process 20 % more transactions while still complying with all regulatory requirements , and without expanding the team .”
“ We saw more clearly that the arrival of new operations has a behavior curve that follows the working hours of client companies . It is normally low in the early morning , rises from 10 AM to noon , stays high until 3pm and then declines . This helped us design better workload distribution on the team .”
All this process analysis could have taken weeks , had the BBVA team attempted it manually . Instead , it took a couple of days and automatically generated insights that the bank used to make valuable improvements .
BBVA reduced the processing time for foreign trade transactions by more than 70 % – from five or six days to one or two .
And if regulations change again tomorrow , BBVA will be prepared .
“ With what ’ s happening in the economy and having the capacity to keep up with all the changes , Process Mining was essential for our clients and us in a context where the acquisition and the currency rate change every day . We can analyze processes faster than ever before ,” said Rojas .
BBVA will continue to apply Process Mining to identify opportunities for greater efficiency , and not just in foreign trade . “ We ’ re getting requests from other teams – they want to do what we ’ ve done ,” said Vidaurrázaga . p
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