Client challenge

Client could not accurately calculate key customer metrics because data sets used as input were very large (200+ million records).


We analyzed all existing large datasets and stored them in a centralized data repository where we could query them. Some of the most important tasks completed were:

  • Cleaned and transformed data by developing custom programming code
  • Calculated financial metrics efficiently by implementing optimized big data techniques
  • Generated data insights and visualized patterns and anomalies we discovered


Our big data approach provided auditable and efficient calculations of all key customer metrics needed and generated several insights regarding the online customers of our client.