BANKING
CUSTOMER STORIES

Media mix optimization

The objective is to predict the revenue of a customer based on investments done in the media.

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Churn 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.

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Text Mining

Creating a solution that automatically extracts the maximum trading amount (maximum value of one share) out of a variety of investment products.

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Probability 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.

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Bankruptcy prediction

Detecting which companies are reliable and which aren’t for money lending.

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Report automation

Automatic production of daily reports displayed in Power Bi, containing the informations of the 4 business sectors of a financial debt recovery company.

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BANKING REFERENCES

Cofidis

BVBA Continental

Scotiabank

Axa

Crelan

Inversiones La Cruz

Euroclear

ING

Beobank

Mornese

Credinka

Diners Club