Data Governance in Financial Services

80% of institutions are either implementing or have already implemented data governance programs.* For financial leaders who haven’t yet acted, the message is clear: without high-quality data, any investment in AI, analytics, or personalization is destined to fail.

*Source: EDM Council, Global Data Management Benchmark Report

Ensure Compliance and Minimise Risk

Meet the requirements of GDPR, local regulators (e.g. KNF), Basel III, IFRS 17 – while avoiding costly penalties and reputational damage.
Build a Data-Driven Culture

Eliminate data chaos, improve data quality and empower decision-making based on trusted information.
Accelerate Innovation

Use reliable data as fuel for AI, advanced analytics and the development of new financial products.

THE CHALLENGE

What happens without Data Governance?

Increased regulatory and compliance risk. Outdated or inconsistent data opens the door to enforcement action, fines, and loss of market trust.
Data that lacks meaning or value. Without a clear strategy, data becomes noise – turning AI, innovation and personalisation into empty promises.
Data silos that slow transformation. Fragmented architectures undermine digital initiatives and delay key business decisions.
IT under pressure. Without a consistent data strategy, IT teams are overwhelmed by firefighting, while the business demands faster delivery and innovation support.
Operational chaos, lost competitiveness. Lack of governance creates bottlenecks, extends time to market, and leaves incumbents vulnerable to fintech disruption.

CASE STUDIES

See how others have tackled these challenges

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Inconsistent data governance was hindering a financial institution’s efficiency and security. A thorough audit and…
Integrating data from key systems – ERP, HR, customer portal and core operational platforms –…
The client manually reviewed thousands of files in search of key operational information. We implemented…

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OUR SOLUTIONS

How can we help you?

Data Maturity Assessment

Not sure where to begin? We assess your current data governance maturity, define the target operating model (organisational and technological), and deliver a clear implementation roadmap.
Data Governance Implementation

From strategy and policies to processes, roles and tooling – we deliver end-to-end or modular implementation. This includes metadata management, data monitoring, and integration with BI, AI, and core banking systems.

OUR EXPERTISE

The Three Pillars of Effective Data Governance

Know exactly what data you have, where it comes from, and how it flows through your organisation.
- Data Profiling – Identify the critical data that drives business value and operational continuity.
- Data Lineage – Full transparency of data flow, supporting auditability and compliance.
- Data Cataloguing – A centralised catalogue that simplifies discovery, classification and reuse of data assets.
Establish a single source of truth and streamline decision-making through structured data processes.
- Master Data Management (MDM) – Consolidate core business data into a unified, accurate view.
- Data Quality Management – Continuously monitor and improve data quality across its lifecycle.
- Data Integration – Connect systems and sources to power real-time reporting and analytics.
Transform data into a strategic asset – secured by design and compliant by default.
- Data Lifecycle Management – Control your data from creation to secure deletion.
- Regulatory Compliance – Align with GDPR, KNF, Basel III, IFRS 17 and other regulatory standards.
- Data Security – Mitigate cyber threats and unauthorised access through industry best practices.

BENEFITS

Why is it worth it?

Stronger decisions

Data governance is foundational to effective decision making and strategic planning.

Source: KPMG, 6 Key Questions Finance Leaders Are Asking About Data and Analytics
Sustainable competitive advantage

Data governance is no longer a compliance checkbox — it’s a competitive differentiator and foundational element of Responsible AI.

Source: PWC, Responsible AI and data governance: what you need to know
Value vs. risk

Strong data governance is essential if organizations are to extract the value from this precious asset – and prevent it from becoming a risk.

Source: EY, If data’s the new gold, how do you use it to create value?

FRAMEWORK

How We Work With You

Comprehensive review of your current data landscape and identification of critical gaps.

Consultation

Make an appointment for a consultation and speak to our data processing advisor.
Workshops

Share all your needs and expectations during the initial workshops.
Offer

Receive an offer and decide if you want to start using the data effectively with us.