About the client: DHFL is the 3rd largest Mortgage lender in India.
Business Challenges: The client had embarked on a Data Migration journey moving from old Legacy systems to modern applications such as ERP and CRM for their Lending and Deposits business. The master and reference data is of very poor data quality. Migration of the data as is into the new applications would result in majority of the records being rejected. A pre-requisite to this migration is cleansing the master data and creating a single view of customer across the enterprise.
Solution: Data from on-prem was migrated to the MDM Cloud on SoftLayer environment, standardized, cleansed and loaded into the MDM hub. Dudupe
matching algorithms were written to identify unique, duplicate and suspect records. Finally Unique Enterprise IDs were created for customers and then mapped to the transaction data based on which the data migration to ERP and CRM was completed.
  • Faster time to value:The proposed solution on cloud enabled them to create single view of customer within 2 months.
  • Reduced overall cost:Without the Cloud option the client would have purchased the Perpetual licenses for at least 1 year. The cloud option meant that they could buy initially for 6 months and then extend on a monthly basis as per the project demand
  • Improved marketing effectiveness–With single customer view, the client will improved the campaign effectiveness and response rate
  • Increased up-sell/cross-sell opportunities–With single view across Loans and Deposits, the client could target specific, personalized products to existing customer base
Technology: MDM AE (Advanced Edition) on IBM SoftLayer Cloud
About the client: These 2 banks represent leading banks in India catering to diverse customer segments including corporates with very high investments in state of the art technologies.
Business Challenges: The clients wanted to simplify and accelerate the provisioning of data for Test and Development purposes, Reduce Complexity and growing costs for data management processes. Integrate with existing masking procedures as well as provide these features within a unified tool.
Solution: The deployed solution delivered virtual copies of Production data and provided instant, non-disruptive access for application development and testing without the need for additional storage. IBM Virtual Data Pipeline technology helped in providing a single data management platform, supporting variable service levels, on demand access and integration with 3rd party solutions for automation and self-service provisioning.
  • Reduced Database provisioning time:Shift from Days to Minutes, improving the overall DevOps process efficiency.
  • Reduced Storage Cost:90% savings was realized as a result of VDP implementation
  • Improved Governance:SLA-driven approach helped to comply with diverse data governance needs. Workflow and automation ensured that data is formatted properly (e.g. for masking requirements) for distribution and downstream consumption, Analytics and AI.
Technology: IBM Virtual Data Pipeline