Having trouble assessing financial data for customer decisioning outcomes? Well, you are not alone. Today we’re publishing an overview of our GoCat Data Categorisation Product and how it can improve customer experiences, reduce operational costs, and manage risk.

As the base offering for all our insight products, we have been accurately turning unstructured data into structured and meaningful clusters for over 10 years.

In order to understand the key behavioural patterns in customer transaction data, enterprises require an intelligent approach to categorisation. Our GoCat product uses several unique algorithms and data analytical models to understand critical patterns and relationships across different data sets. This module will help you to assess aspects of your customers’ spending and earning behaviours, as well as understand and utilise their interaction profiles more efficiently.

GoCat creates a logical category structure that is aligned with industry standard categorisation framework for credit decisioning.

Our categorisation product output via reports and JSON is easy to read, understand and review. We use hierarchical taxonomies to organise transactions from generic sections to specific categories where each level provides more specific data insights.