Build Your Models
Reduce Human Error
There’s No Room to Introduce Risk
Trained analytical professionals are highly skilled and valuable resources for any company. But with growing demand for predictive models, we’ve come to ask too much of power analysts to expect perfect results every time.
By automating predictive modeling with InfiniteInsight™ Modeler, you dramatically reduce the chance of human error, especially when time is tight. You also create an institutional memory for predictive analytics that is rarely documented and not easily maintained.
- Build models with clicks, not code
- Automatic creation of analytical data sets for building and retraining of predictive models
- Automatic generation of time-dependent aggregates
- Identifies interactions and rules between variables
- Detects “too good to be true” and monotonic variables
- Detects missing or scarcely populated values that may influence models
- Eliminated manual processing that used to follow output generation (Vodafone Germany)
- Prior to InfiniteInsight™, translating models into a usable format was time-consuming and prone to human error (Belgacom)
- Before InfiniteInsight™, deploying predictive analytic scores into production required manual, redundant and time-consuming processes that were prone to human error (Sears)
- InfiniteInsight™ prevents costly mistakes that occur during manual data preparation and variable reduction (Major marketing database service provider)
Because InfiniteInsight™ is so robust, we don't have to spend time checking things. ![]()
Chris Doel, Head of Predictive Modeling
Success Stories
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“InfiniteInsight™ allows us to take advantage of big data from our customer facing channels to identify the next best offer.”
David MacFarlane

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“InfiniteInsight™ fit the bill on all levels.”
Thierry Conquet

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“With InfiniteInsight™, we've got best in class predictive analytics without a staff of analytical professionals.”
Thanassis Thomopoulos

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“InfiniteInsight™ is easy to use, creates very good models and is very, very fast - much faster than competing solutions.”
Kunter Kutluay

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“In one division last year we improved retention by 1%. That may not sound like much, but when the product portfolio is very large, it adds up to a lot of money.”
Derlin Mputu Kinsa


