Predictive Analytics

Predictive analytics works with analytic models that are designed to look for predictable behaviour, propensities, and business rules that can be used to predict the likelihood of certain behaviour and actions. Data quality is a very important starting point and our consultants will guide you in improving your data quality and establish predictive models for you.

Predictive models

Predictions are a valuable asset. But only when the right and correct data is used. You can’t predict the future, when you don’t know your past! Therefore, reliable (economical, behavioral, financial) models are created, based on internal and external data. Once created, these models are monitored and adjusted in case of available new data sets, improved quality data or market changes.

Statistical Models & Regression Analysis

Creating valuable predictive models is more than running statistical functions on your data. It requires knowledge on the business in order to create a set of assumptions. With regression analysis you can estimate a certain relationship among those assumptions, which enables you to identify trends and predictions for the (near) future. We have data scientists with experience in the field of banking, insurance, financial services, telecom, retail, logistics and the energy domain.

Models based on training set

Models can become very complex if there is more and more data added into the analysis. We can create models, based on training sets of neural network or a genetic algorithm, which helps discovering potentially predictive relationships.

Models based on training set

Models can become very complex if there is more and more data added into the analysis. We can create models, based on training sets of neural network or a genetic algorithm, which helps discovering potentially predictive relationships.

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Contact

Eric Hans van Wingerden

Senior Data & Analytics Consultant