Data Governance in BFSI

Embedding governance at the heart of data-driven banking

Ensuring trust, transparency, and regulatory alignment across the data lifecycle.

For banks and financial institutions, data governance is not optional — it is foundational. With intensifying regulatory scrutiny, increasing data volumes, and growing AI adoption, the ability to manage, protect, and govern data has become a strategic differentiator. At Eklogi Consulting, we help BFSI organizations design and implement comprehensive data governance frameworks that align business goals with regulatory mandates. Our approach combines policy design, operating model setup, lineage visibility, and technology enablement — empowering institutions to establish trusted, compliant, and auditable data ecosystems that support both innovation and assurance.

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Context

Data is the lifeblood of financial enterprises — flowing through customer interactions, transactions, compliance systems, and analytics platforms. However, without a structured governance framework, it can become a liability rather than an asset.

Regulatory expectations such as BCBS 239, GDPR, and India's DPDP Act (2023) now mandate transparency, data lineage, and accountability across all data processes. For BFSI institutions, this means moving beyond ad hoc data management toward formalized, measurable governance models that enable trust, auditability, and consistency.

Key Challenges

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Regulatory Exposure

Inability to demonstrate traceability, lineage, or audit trails for data.

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Inconsistent Data Definitions

Variations in key business metrics across systems (e.g., customer, risk, and product data).

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Fragmented Ownership

Unclear data accountability across functions and geographies.

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Siloed Governance Practices

Multiple tools and processes with no unified governance layer.

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Resistance to Adoption

Lack of awareness or buy-in from business teams due to perceived complexity.

Eklogi's Data Governance Framework

Our Data Governance Framework for BFSI provides a practical, outcome-oriented model that integrates policy, people, process, and technology. It ensures data integrity, regulatory compliance, and operational excellence across the enterprise.

1

Governance Policy and Framework Design

Defining the foundation of enterprise data governance.

We begin by establishing a comprehensive governance policy framework that defines principles, scope, and accountability across the data lifecycle.

  • Governance Charter: Define mission, scope, and strategic objectives for data governance.
  • Policy Development: Formulate enterprise-wide data policies covering quality, privacy, access, and retention.
  • Roles and Responsibilities: Define data owners, stewards, custodians, and governance committees.
  • Decision Rights & Escalation Paths: Clarify authority across IT, business, and compliance functions.
  • Governance KPIs: Set measurable objectives (accuracy, timeliness, completeness, and auditability).
Outcome:

A clearly defined governance framework that institutionalizes accountability and ownership.

2

Regulatory Alignment & Compliance Integration

Ensuring data governance meets BFSI regulatory mandates.

We align data governance frameworks with global and local regulatory expectations, ensuring ongoing compliance and audit readiness.

  • Regulation Mapping: Alignment with BCBS 239, GDPR, DPDP Act 2023, RBI guidelines, and other jurisdictional requirements.
  • Compliance-by-Design: Embed regulatory controls in data processing workflows.
  • Audit Support: Enable data traceability and lineage for regulatory inspections.
  • Risk and Control Framework: Map governance controls to enterprise risk management frameworks.
  • Cross-Border Data Governance: Define ownership and transfer protocols for multi-jurisdictional entities.
Outcome:

Sustained regulatory compliance with demonstrable data accountability and traceability.

3

Data Lineage, Cataloging & Metadata Management

Establishing transparency across data flows and transformations.

We enable end-to-end data lineage visualization and metadata management using industry-leading governance tools.

  • Data Lineage Mapping: Trace data flow from source to consumption with automated lineage tracking.
  • Metadata Cataloging: Centralize technical and business metadata for discoverability.
  • Business Glossary: Standardize definitions of critical data elements across departments.
  • Integration with DataOps & BI: Embed governance metadata into pipelines and analytics dashboards.
  • Tool Enablement: Implement Collibra, Informatica Axon, or Alation for governance orchestration.
Outcome:

Improved data transparency, discoverability, and control — enabling faster audit response and data trust.

4

Data Quality & Stewardship Governance

Embedding ownership and accountability in daily operations.

We operationalize governance by empowering data stewards and business users with the tools and processes to sustain data quality.

  • Data Quality Framework: Define, monitor, and report on data quality KPIs.
  • Stewardship Operating Model: Create a network of data stewards responsible for maintaining domain-level quality.
  • Issue Management Process: Implement workflows for identifying, escalating, and resolving data anomalies.
  • Continuous Monitoring: Integrate quality dashboards for real-time governance oversight.
  • Training & Awareness: Build organizational literacy on governance roles and responsibilities.
Outcome:

Institutionalized stewardship culture where ownership and quality are embedded in daily operations.

5

Governance Technology and Automation

Using technology to scale governance adoption.

Eklogi integrates governance into technology ecosystems to ensure sustainability and scale.

  • Platform Evaluation & Implementation: Assess and deploy data governance tools aligned to enterprise architecture.
  • Integration with Cloud Platforms: Align governance policies with Azure Purview, AWS Glue Data Catalog, or Google DataPlex.
  • Automation of Lineage and Cataloging: Leverage AI/ML to auto-discover data assets and relationships.
  • Workflow Automation: Digitize governance processes such as approvals and policy enforcement.
  • Governance Dashboards: Provide leadership visibility into compliance and data health metrics.
Outcome:

Governance that scales seamlessly with enterprise growth and technological complexity.

Differentiators

  • BFSI-Centric Framework: Designed specifically for regulated financial data environments.
  • Regulatory Depth: Proven alignment with BCBS 239, DPDP Act 2023, and RBI data risk frameworks.
  • Technology-Agnostic Implementation: Expertise across leading governance and metadata tools.
  • Operational Adoption: Focus on embedding governance in daily workflows, not just policy.
  • Sustainable Maturity Model: Continuous measurement and capability uplift across people, process, and technology.

Business Outcomes

  • Improved compliance readiness and regulatory trust.
  • Up to 70% faster audit and data traceability reporting.
  • Enhanced data reliability and reduced operational risk.
  • Clear ownership and accountability across the enterprise.
  • Increased confidence in analytics, AI, and decision-making outcomes.

Governance that builds trust. Data that drives growth.

Eklogi Consulting helps financial institutions transform data governance from a compliance necessity into a strategic enabler — delivering transparency, integrity, and control across the data value chain.