NEVER WAIT ANYMORE
FOR A DATA TRANSFORMATION
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.
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.
FOR PREDICTIVE MODELING
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).
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.
All examples mentionned on this page are running on this laptop: