BANKING
CUSTOMER STORIES
Media mix optimization
The objective is to predict the revenue of a customer based on investments done in the media.
Read moreChurn models
Building a classical churn model with TIMi in 2 days and 36 additional models in 2 additional days.
Cross-Selling
Many banks are using TIMi and Anatella to create predictive models for cross-selling. This is a very popular usage of TIMi.
Graph mining
Using advanced SNA techniques, we extract from the social graph (for telecoms) more than 2000 variables about each customer.
Read moreText Mining
Creating a solution that automatically extracts the maximum trading amount (maximum value of one share) out of a variety of investment products.
Read moreProbability of default
In 2010, TIMi took part in the PAKDD competition. The objective of the competition was to create a predictive model used inside a Credit Risk Assessment System.
Read moreBankruptcy prediction
Detecting which companies are reliable and which aren’t for money lending.
Read moreReport automation
Automatic production of daily reports displayed in Power Bi, containing the informations of the 4 business sectors of a financial debt recovery company.
Read moreBANKING REFERENCES
Cofidis
BVBA Continental
Scotiabank
Axa
Crelan
Inversiones La Cruz
Euroclear
ING
Beobank
Mornese
Credinka
