1. / A major US bank holding company reduced data anomaly and mismatch errors by 60%.
Overview

The client is a bank holding company for a major US bank headquartered in Michigan. It is one of the largest residential mortgage servicers and banks in the United States. The client desired to implement long-term processes that would improve their operational capability while decreasing anomalies, errors, and risks. They also desired to be able to make more data-driven decisions based on the analysis’ findings. Our solution was to address this issue by implementing mechanisms that automate workflow and improve business rule management while reducing anomalies and errors. The solution was implemented in three stages using a structured approach.

Problem

An in-depth analysis of the customer’s existing processes revealed certain challenges.

  • The client was having difficulty inIdentifying a strategy for delivering capability enhancements that ensure a sustainable process.
  • Client was facing data mismatch and errors.
  • There was no data driven decision framework.
  • There was minimum automation in workflow processes.
  • There was a need to improve operation and mitigate risks
  • Need for high quality data delivery.
Solution

To address the customer’s requirements, Apexon leveraged our competencies with a tailored solution for this client in three phases:

Phase 1 – Implemented

  • Created multi-phase capability roadmap
  • Upgraded Collibra version with content migration
  • Upgraded catalog, configured new dashboards, workflows, and asset models. Automated data lineage and quality results via connectors to data warehouse integration tools
  • Deploy On the Go search tool

Phase 2 – Requirements

  • Advanced lineage integration
  • Data sharing enhancements
  • Reference data management

Phase 3 – Requirements

  • Expanded Collibra Integrations to reporting tools and data incident requests
  • Custom workflows and enhanced business rules management
Impact

At the close of the project, Apexon was able to deliver the following features and upgrades:

  • Created single source of truth across enterprise, reduced 60% data anomaly/mismatch errors.
  • Business access to lineage and transformation lead to 20% reduced effort in impact analysis and new requirement scope documentation.
  • Automated issue resolution workflow and Automated load of attributes to catalog – reduced job execution and monthly batch completion time by 28%.

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