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

Outcomes

• 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.