BANKING AND FINANCIAL SERVICES

Trusted finance starts with trusted intelligence

Strong financial decisions rely on trusted, governed, and context-rich data. Decisions that stand up to risk, compliance, operations, and AI scrutiny. Connect all your financial data with Stibo Systems and give your teams the visibility they need — to reduce risk, strengthen confidence, and prep AI across the enterprise.

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financial services

Trusted by top BFSI providers

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Customer: Royal London logo
Customer: Nets logo
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Customer: Royal London logo
Customer: Nets logo

The benefits of trusted banking and financial data

Trustworthy intelligence for AI
Create trusted, governed, and context-rich data foundations that help AI agents, analytics, and automated decisioning work from more reliable customer, counterparty, product, legal entity, and relationship data.
Risk and compliance confidence
Improve the quality, traceability, and explainability of data used across KYC, KYB, AML, sanctions, risk management, regulatory reporting, and audit workflows.
Connected customer and counterparty visibility
Link customers, households, counterparties, legal entities, beneficial owners, and relationships across systems to create clearer visibility into risk, exposure, and relationships.
Operational efficiency
Reduce duplication, manual remediation, onboarding delays, and process friction across compliance, risk, servicing, and reporting workflows.
Growth and customer experience
Support faster onboarding, better personalization, stronger relationship management, product suitability, and more consistent customer servicing with trusted data across teams and systems.

How trusted master data supports financial services teams

Chief data officer
Enterprise data strategy depends on whether customer, counterparty, legal entity, product, and relationship data can be governed as connected business context instead of reconciled after the fact. We help data leaders connect those domains to establish consistent business definitions, reduce remediation effort, improve accountability, and create a stronger foundation for AI and analytics.
Chief risk officer
Risk visibility improves when exposure can be understood across customers, counterparties, legal entities, ownership structures, relationships, and products. We help create governed customer and counterparty data foundations that support greater transparency, stronger risk aggregation, and more explainable decisions across risk and regulatory reporting processes.
Head of financial crime and compliance
KYC, KYB, AML, sanctions screening, and customer due diligence all depend on the quality of the customer, entity, ownership, and relationship data behind them. Our solutions help govern the information supplied to financial crime and compliance platforms, supporting stronger identity resolution, clearer beneficial ownership visibility, more effective due diligence, and greater auditability.
Chief operations officer
Operational friction often starts with inconsistent customer and entity data moving across core banking, CRM, risk, and compliance systems. With Stibo Systems, you can standardize and distribute trusted data across operational workflows, accelerating onboarding, increasing automation, reducing manual effort, and delivering more consistent customer experiences.
Chief AI officer or head of AI
Responsible AI depends on more than model performance. It depends on trusted inputs, business context, provenance, and explainability. We provide governed identity resolution, semantic business context, data provenance, and multidomain relationship intelligence. In turn, this lets AI agents, models, and analytics work from data that is traceable, governed, and easier to explain.
Chief digital officer
Connected digital journeys depend on trusted customer identity, household relationships, financial product data, and consistent context across channels. Stibo Systems helps bring those data points together so digital teams can deliver more informed experiences, stronger personalization, and faster transformation across fragmented customer data environments.

Where Stibo Systems helps financial institutions most

Connected customer and counterparty risk visibility
Connect customer, counterparty, legal entity, and relationship data to improve enterprise-wide visibility into risk, exposure, and relationships.
KYC, KYB, AML, and sanctions data foundation
Improve the completeness, consistency, and connectivity of data supplied to customer due diligence, financial crime, and sanctions processes.
Governed identity, household, and beneficial ownership visibility
Resolve customer and entity identities and connect households, corporate relationships, ownership structures, and ultimate beneficial owners.
Legal entity, organization, and hierarchy management
Govern legal entities, organizational structures, parent-child relationships, and ownership hierarchies across systems.
Risk data aggregation and regulatory reporting foundations
Provide consistent, traceable, and governed data that can support risk aggregation, regulatory reporting, auditability, and regulatory evidence.
Financial product and service governance
Govern product definitions, eligibility, terms, fees, disclosures, suitability attributes and channel availability.
Trusted data foundations for AI
Provide governed, traceable, and context-rich data to AI agents, models, analytics and automated decisioning workflows.

Financial institutions building trust in enterprise data

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Oney reduced duplicates and strengthened customer data quality

Oney modernized its customer master data foundation to address duplication, inconsistent matching, and evolving governance needs. With Stibo Systems, the bank achieved a 90% reduction in duplicates and maintained more than 95% data quality, helping create better customer views, strengthen customer trust and satisfaction, and enhance compliance.

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A global insurance provider connected customer data across regions and systems

A global insurance provider unified 1.3 million customer records across regions and systems, creating a connected foundation for growth and deeper insight. With Stibo Systems, the organization achieved a 25% uplift in record completeness and deduplicated 33% of records, helping teams improve customer retention, act on cross-sell and upsell opportunities, and make more informed decisions around risk mitigation.

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Royal London made customer data accessible across lines of business

Royal London relied on Stibo Systems to support digital transformation and improve customer experience across multiple business units and systems. With 95% of customer data accessible in one place, customer service teams can connect a single customer record to policies across lines of business and respond with more complete, accurate, and up-to-date information.

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Why financial institutions choose Stibo Systems

Trustworthy intelligence for regulated decisions

STEP, our trustworthy intelligence platform, helps financial institutions create governed, traceable, and context-rich data that can support risk, compliance, operations, customer experience, and AI use cases across the enterprise.

Multidomain MDM for financial services

STEP connects and governs customer, counterparty, product, legal entity, organization, and relationship data rather than treating each domain as a separate data quality problem.

Governed identity resolution

We help resolve customer and entity identities while maintaining the provenance, lineage, and accountability needed in regulated financial services processes.

Legal entity, hierarchy, and relationship management

We help financial institutions connect legal entities, ownership structures, beneficial owners, households, organizational hierarchies, and business relationships so teams can understand risk and exposure more clearly.

Semantic business context for AI readiness

Our solutions help create reusable, semantically rich data that can support analytics, automated decisioning, and responsible AI initiatives with stronger business context and traceability.

Coexistence with financial services architecture

STEP complements core banking, CRM, financial crime, cloud data, analytics, and AI platforms rather than replacing them.

Annual report: Our Year in Review

We’ve delivered the strongest financial performance in our history, driven by continued execution of our strategy and the increasing impact of investments made in recent years – while further strengthening our position in a fast-evolving market. See how Stibo Systems is leading the way.

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Annual Report Visuals

Stibo Systems named a Leader in the Gartner Magic Quadrant for Master Data Management Solutions, 2026

Gartner recognized Stibo Systems as a Leader for our "Completeness of Vision" and "Ability to Execute." This recognition validates years of MDM innovation, strategy and enterprise-scale execution.

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Stibo Systems named an MDM Leader by G2 for summer 2026

We're thrilled to be recognized by G2 as a master data management (MDM) Leader in G2's 2026 Summer Grid® Report. Check out what our customers are saying in our latest G2 reviews.

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Banking and financial services MDM FAQ

What is master data management in banking and financial services?

Master data management in banking and financial services is the practice of governing critical customer, counterparty, product, legal entity, organization, and relationship data so financial institutions can use trusted information across risk, compliance, operations, customer experience, and AI-driven workflows.

How does MDM support KYC, KYB, AML, and sanctions processes?

MDM supports KYC, KYB, AML, and sanctions processes by improving the completeness, consistency, and connectivity of customer, entity, ownership, and relationship data supplied to customer due diligence, financial crime, and sanctions workflows.

Why is identity resolution important in banking and financial services?

Identity resolution is important in banking and financial services because it helps connect fragmented customer, counterparty, entity, household, and relationship records across systems. MDM provides the governed foundation for that work by resolving identities, reducing duplicate records, preserving context and lineage, and giving teams more trusted data for onboarding, KYC, AML, risk, compliance, reporting, and AI-driven decision-making.

What is customer and counterparty risk visibility?

Customer and counterparty risk visibility means connecting customer, counterparty, legal entity, ownership, product, and relationship data, so financial institutions can better understand exposure, risk, and relationships across the enterprise. MDM helps create that visibility by governing those critical data domains together, instead of leaving them fragmented across core banking, CRM, risk, compliance, and reporting systems.

How does MDM improve regulatory evidence and auditability?

MDM can support regulatory evidence and auditability by creating governed, traceable, and accountable data foundations with clearer provenance, lineage, and business context.

How does MDM support AI adoption in financial services?

MDM supports AI adoption by providing governed, traceable, and context-rich data that AI agents, models, analytics, and automated decisioning workflows can use with more confidence and explainability.

What is multidomain MDM in financial services?

Multidomain MDM connects and governs multiple critical data domains, such as customer, counterparty, legal entity, product, organization, and relationship data, instead of managing each domain in isolation.

What is the difference between customer 360 and multidomain MDM?

Customer 360 typically focuses on customer visibility. Multidomain MDM goes further by connecting customer data with counterparties, legal entities, beneficial owners, financial products, organizations, hierarchies, and relationships so financial institutions can support broader risk, compliance, operations, and AI use cases.

How does Stibo Systems support financial services organizations?

Stibo Systems supports financial services organizations by helping create trusted data foundations for connected customer and counterparty visibility, risk, and compliance workflows, operational efficiency, financial product governance, and responsible AI adoption.

Ready to build trusted intelligence for financial services?

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