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Robust Big Data & Data Engineering work for an APAC based Retail Bank

Problem Statement

  • No adequate data and analytics platform to fulfil growing information requirement of bank
  • Lack of clarity of business performance, trends & opportunities
  • Poor Data quality & governance

Solution Overview

  • DLXpress powered end to end Azure based data lake
  • Data model and dictionary for retail banking
  • Cloud data warehouse for direct analysis and multidimensional analysis
  • Metadata driven pipeline
  • Automated data quality and remediation process
  • Interactive dashboard using Power BI
  • Data science use case development
  • Agile delivery methodology


  • Solution will help customer to identify potential market opportunities.
  • Enabled business users to develop their own insights through Self-service BI
  • Clear picture of branch, functions & department performance
  • Create risk profile of customers using credit risk analysis model.
  • Robust data governance & data quality
  • Enables users to get information near to real time.

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