Customer stories
These stories show the problem they faced, the method used and the figures obtained. Filter by sector or use case to find the one closest to yours.
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26% of the top 15% of business clients bought a credit
ING identified the business clients with funding needs: 26% of the top 15% bought a credit.
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94% of failures predicted, 30 minutes ahead
Safran anticipates machine failures 30 minutes ahead with a 94% recall rate, on 10 billion rows and no new sensor.
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150 billion transactions certified every month
Snype certifies 150 billion monthly transactions from 7 operators on a single standard server, in 5 to 7 hours.
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20% fewer newborns in intensive care
Grupo SURA predicts birth complications 6 months ahead: 20% fewer newborns in intensive care, 1,800 lives saved a year.
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98% accuracy predicting bankruptcy 6 months ahead
BNP Paribas predicts the bankruptcy of business clients 6 months ahead with 98% accuracy.
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97.2% reliability on a €50M budget
A French department forecasts its RSA budget of about €50M a year with 97.2% reliability, in 8 weeks, on one desktop.
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Billing processing cut from 1,520 hours to 80
Enel Codensa cuts monthly billing processing from 1,520 hours to 80 and finds errors in 3 days instead of 2 months.
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Churn detection accuracy from 45% to 57%
MTN raises churn detection accuracy from 45% to 57% across 21.4 million subscribers, in under 5 days.
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20% more inbound sales with 27 models
VOO raises inbound sales by 20% with 27 predictive models, within a 300-second call limit.
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50% lower collection costs, €1.7M net gain
VOO halves its collection costs by flagging risky customers in the first month, for a net gain of €1.7M.
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Cross-sell revenue doubled in 15 days
VIVO Brazil doubles cross-sell revenue in 15 days with 30 predictive models and 2 data miners.
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Daily purchase scores across 300,000 stores
Bavaria scores which client buys which product each day across 300,000 stores, at 2.4 million scores per second.
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10% more store visits with personalized coupons
Delhaize personalizes coupons with 450 models generated each week, and gains 10% more store visits.
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Churn risk scored across 37 product categories
Delhaize predicts churn across 37 product categories with 1,013 variables, to act before customers leave.
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A shopping basket filled in one click
Carrefour Magic List fills the online basket in one click, from buying habits, margins and available quantities.
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€19.6M of repair costs avoided per year
GX Labs predicts pump failures on 5,000 wells: €1.3M of extra revenue and €19.6M of repair costs avoided per year.
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Battery degradation traced across 1,400+ sensors
Volvo isolates the variables that degrade EV batteries from more than 1,400 simultaneous sensors.
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Glass defects classified in under 12 seconds
AGC classifies float glass defects in under 12 seconds with more than 97% accuracy, and cuts fuel consumption by 5%.
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Engine failures predicted within the hour
SANY predicts mining truck engine failures within the hour, with an AUC above 98%, and adapts models by season.
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30 TB processed on a single server
Minsalud, the Colombian Ministry of Health, processes a 30 TB repository on a single server, with no cloud.
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Data updates cut from 24 hours to under 6
DIJIN cuts data update times from more than 24 hours to under 6 hours, after migrating hundreds of SQL processes.
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A national registry processed on one server
RENIEC, the national registry of Peru, processes all its data daily on one Anatella server, sized for the next 8 years.
Testimonials
What our clients say
“The performance, even on an entry-level laptop, is astonishing. It far outperforms MS Query’s response time on a comparable machine.”
Bernard D. – Senior Financial Advisor
“Both Anatella (ETL) and Modeler process large volumes of data far faster than most competitors, with minimal memory usage.”
Daniel M. – Statistician & Software Dev
“In 22 years in this profession, 10 of them with TIMi, I could write a book about everything TIMi has genuinely brought me compared to the competition.”
Artur G. – Data Scientist
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