Anatella

NEVER WAIT ANYMORE
FOR A DATA TRANSFORMATION


SORTING FASTER

Let’s sort a large CDR (Call Data Record) table from a Telecom with 6 million subscribers. The CDR table has 1 billion rows and 8 columns. Anatella computes the complete sorted CDR table (1 billion rows) in 99 seconds using less than 300 MB of RAM.

1000million rows
300MB of ram
99seconds
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1300million rows
150MB of ram
70seconds

AGGREGATING
LARGE TABLES

Let’s aggregate a large ticket table from a retailer with 1 million customers that represents all the sales from 2 years at the finest grain as possible. Anatella computes the requested aggregates on the (1 billion rows) ticket table in 70 seconds using less than 150 MB of RAM.

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Modeler

UNMATCHED SPEED
FOR PREDICTIVE MODELING


BUILDING A
HEALTHCARE MODEL

Using a single PC with Modeler, a healthcare institution built a high-performance model on 6 million rows, 24.000 variables in only 4 hours (individual risk of heart attack within 6 months).

6million rows
24000variables
4hours
18million rows
200variables
20minutes

BUILDING A
FRAUD PREDICTION MODEL

With Modeler, an energy company built a fraud prediction model in only 20 minutes with 18.000.000 rows and over 200 columns.

HIGHLY ACCURATE MODELS

Speed of course would be irrelevant without precision. Since 2007, Modeler produces predictive models that are significantly more accurate than other off-the-shelves tools. This fact is demonstrated by our outstanding results at various world-level data mining competitions (KDD Cups) and by real industrial benchmarks.

competitions

NOTICE

All examples mentionned on this page are running on this laptop:

msi