Diagnostic Analytics is a  form of advanced analytics which examines data or content to answer the question “Why did it happen?”, and is characterized by techniques such as drill-down, data discovery, data mining and correlations. We perform diagnostic analytics so that we can learn from the past and work towards making a consistent and competitive future. We can:

  • Offer this backward-looking approach to review past trends and patterns
  • Design cases to determine why something happened
  • Focus significantly on causal relationships and sequences
  • Define relative ranking of dimensions/variable based on concluded explanations
  • Compare dependent variables with independent variables to understand relationship between various data forms
  • Detect and diagnose patterns
  • Perform model training and testing

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