Xeligence Predictive Modelling

Are you tired of paying over the odds for your predictive analytics solution? Having trouble operationalising your predictive models to provide value through your organisation? Sick of waiting for weeks and even months before your predictive models can be deployed?

Xeligence is a family of business focussed analytical applications that continuously improve the performance of core business processes. Through our extensive experience of developing predictive modelling solutions we have created Xeligence to enable the business user to easily create and rapidly deploy predictive models in real time, within hours, without the specialist need of a statistician.

Most large organisations have spent millions investing in CRM systems and analytics solutions, however the gap often still exists in utilising the data to make decisions and operationalizing the analytical insight. Xeligence automates the model building and maintenance process and the deployment of the resulting models across all channels within the organisation.

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What are Predictive Models?

Predictive modelling is a process that results in the discovery of patterns and relationships in data that may be used to make valid predictions.

As an example, a model that is built to understand when and why a customer is likely to leave the business (churn), can be used to predict the likelihood of a customer to leave based on changes in their current behaviour.

Building predictive models is part of a larger process that includes everything from defining the basic problem the model will solve, to deploying it into a working environment.

Want to Know More?
  • Why Xeligence?

      Compresses model building and deployment time from weeks to hours

      Has self learning and self training models – optimises, self manages, and recalibrates models with the arrival of new data and attributes

      The solution is “Delivered integrated” not just “Can be” integrated

  • Xeligence Features

    • Cross Functional Analytical Platform & Industry Solution Sets
    • Rapidly Integrates with Enterprise Applications
    • Deployable as a Real –Time Recommendation Engine
    • Self Training Data Mining Models: Eliminates the need for Statistician Assistance
    • Compresses the time and cost to build predictive models

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