WHAT IS A BLOCK

Every block predicts a specific need or behavior of your consumers. To successfully predict consumer needs and behavior, our blocks contain essential domain knowledge and functionalities of the retail and insurance industry. It is possible to use predictive blocks individually, but it is recommended to combine multiple blocks in a powerful composition to perfectly meet specific business needs. Blocks can be easily combined which makes it easy to create a customized solution in a fast and reliable way.

BUSINESS ADVANTAGES­ OF OUR BLOCK STRUCTURE

VARIABLE SELECTION BY ALGORITHM­ INSTEAD OF CONSULTANT
RUNS MODELS PARALLEL­ AND SELECTS THE BEST FOR YOUR SITUATION
INTEGRATED­ IN EXISTING INFRASTRUCTURES

How our blocks work

  • data
    Transformation

    Intelligently transforms the data for predictive modelling while retaining essential information in the data. Depending on the data and the specific block this includes: checking the relevance of the data with break detection and data reduction, transforming unstructured data into structured data, and selection of training, validation and test sets

  • VARIABLE & model
    SELECTION

    A block may contain multiple data science or machine learning algorithms applicable for its specific goal. The model selector determines which algorithm(s) is the best match and gives the most accurate predictions for the specific business problem given the data currently available.

  • Prediction
    & CHECKS

    To ensure accuracy and reliability of the algorithm and outcomes, all predictions will be validated and checked before execution. When validated successfully, the predictive model will be used to extrapolate to new scenarios.

Explore­ the blocksĀ