Streamlined Data Flow Analysis for Financial Services

Introduction
A major financial institution in Sweden faced growing inefficiencies due to fragmented data governance systems.

The organization sought to enhance efficiency and reduce operational risks by streamlining data lineage and improving impact analysis for new initiatives.

Challenges Faced
The bank’s outdated data governance approach presented multiple challenges:

• Fragmented Data Lineage: Lack of centralized data visibility delayed impact assessments.
• Operational Overhead: Manual workflows slowed decision-making processes.
• Compliance Risks: Poor visibility into data dependencies increased regulatory vulnerabilities.

What Did We Do to Solve It?
Komhar developed a comprehensive data governance framework to address these issues.

Our solution focused on integrating metadata and automating data lineage tracking across systems.

How Did We Solve It?
Our key steps included:

1. Integrated Metadata Management:
   Combined data from DataStage, Informatica, Netezza, and other platforms into a centralized governance catalog.
2. Automated Data Lineage Tracking:
   Generated detailed data flows across 2000 Informatica jobs, 2000 BTEQ scripts, and 3000 Oracle SQL views.
3. Scalable Governance Framework:
   Leveraged Information Governance Catalog to improve tracking, analysis, and compliance.

Measurable Benefits

• 90% Reduction in Analysis Time: System architects could complete impact assessments in minutes.
• Comprehensive Data Visibility: Centralized lineage offered clarity for business and technical teams.
• Improved Compliance: Enhanced governance ensured seamless audit trails and reduced risks.

Ready to Streamline Your Data Governance?
Fragmented systems and manual workflows shouldn’t stand in the way of compliance and efficiency. Komhar’s metadata integration and automation expertise helps financial institutions unify governance and accelerate impact analysis. Contact us today to get started on your governance transformation.