Contata uses variety of techniques based on specific needs of customer’s business situations to discern trends & insights hidden in your data.

  • Attribute Prediction

    Contata analyzes and learns from existing data to create models that can be used to predict different values of interest. For example, categorizing customers for attrition and predicting expected revenues based on existing conditions.

  • Profiling & Outlier Analysis

    We specialize in analyzing data to create profiles of individuals in different segments. This analysis can be used to pinpoint out-of-the-ordinary behavior outliers that may indicate fraudulent activity.

  • Clustering & Segmentation

    Contata has rich expertise in analyzing data to discover naturally occurring groups of individuals. This analysis can then be used to enhance marketing campaigns or design new products.

  • Correlation & Casual Analysis

    Contata can analyze data to determine underlying factors that explain correlation between several attributes, or establish a causation relationship between them.