Predictive Models

Are you looking to improve your productivity and reduce cost?
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Predictive Models

National Data Collection has developed a wide range of predictive models for multiple industries. Our list is consistently growing, if you are looking to improve your productivity and reduce cost contact use for more information.

Some of the models we have developed are:

  • Insurance Claim Modeling - the probability of claims, claim amounts and liability;
  • Debt Scoring - ranking debtors probability to pay;
  • Customer Stability - if or when a customer will miss payments or cancel a contract;
  • Playlist Predictions - predict what song a user will select next and auto generate playlists;
  • Stock Control - this model looks at what and when stock will be sold and potential clearance sale items;
  • Talent Finder - identify potential candidates for job listings;
  • Predictive Crime Modeling - identify individuals who are planning or have a high probability to commit
         crime and the location;
  • Citizen Scoring Modeling - Social Scoring Systems; and
  • Behavioral Modeling - this is a powerful model that has been used for multiple reasons,
          to name a few:
• Staff retention
• Sick leave patterns
• Recruitment
• Customer satisfaction
• Customer Predictions
• Fraud alerts

We offer a wide range of solutions that can help your business grow. Advice is free, getting it wrong is expensive. Contact us to see how we can help, if we can’t we will steer you in the right direction.

Latest Projects

  • Search Site

    Locate customers faster

  • CRM Development

    Custom CRM design

  • Insurance Risk Model

    Predict who will make a claim!

  • Business Setup – Insurance

     

  • Client Testimonials

    • Ausworld Group Pty Ltd.

      Daniel Legrand - Director
  • Reduce Cost

    Reducing cost and increasing revenue is something we all want however if you cut back in the wrong areas it may give you short term gain but long term pain.

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    NDC currently opperates in Australia, New Zealand, Thailand, Philippines and The USA.

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