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VikiData for Banking & Financial Services

Drive success with trusted, fit-for-business-use data.

Unify customer, account, risk and regulatory context across systems so financial institutions can improve customer experience, accelerate growth, strengthen compliance and govern AI decisions.

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Banking use cases

Trusted financial data drives better customer, risk and growth decisions.

Explore the business outcomes VikiData supports across customer experience, business growth, compliance and risk, cost reduction, and mergers and acquisitions.

Improve financial customer experiences with accurate, accessible and trustworthy data.

Resolve customer and account records across core banking, CRM, wealth, payments and digital channels so teams and AI work from trusted context.

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Optimize client onboarding

Create trusted customer identity and relationship context to reduce onboarding friction and manual reconciliation.

Enable modern digital engagement

Give digital channels governed customer, product and account context for consistent service.

Deliver AI-enabled customer service

Ground AI assistants and agents in trusted customer context with policy, approval and evidence controls.

Know your customers and relationships across business lines to uncover growth opportunities.

Use Customer 360, relationship intelligence and governed enterprise context to improve cross-sell, upsell and retention opportunities.

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Offer personalized product bundles

Use trusted customer and relationship context to support more relevant product and service offers.

Boost sales opportunities

Connect customer, account, product and relationship data to identify cross-sell and upsell potential.

Modernize customer intelligence

Replace fragmented legacy views with governed customer and account context for analytics and AI.

Use governed data to understand risk exposure and reduce compliance uncertainty.

Connect customer, legal entity, risk and regulatory information with lineage, trust and policy controls.

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Improve risk management

Create trusted 360-degree context across customer, account and legal entities to improve risk visibility.

Unify legal entity information

Resolve and govern legal entity data across systems for stronger credit, market and operational risk analysis.

Strengthen fraud and anomaly detection

Use trusted entities, observability and anomaly signals to surface unusual patterns earlier.

Reduce manual reconciliation and data-management overhead with trusted shared context.

Standardize reference data, reduce duplication and improve visibility into data quality, lineage and downstream dependencies.

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Optimize reference data

Create trusted reference values and shared enterprise definitions across systems.

Reduce duplicate data work

Use mastered entities and governance to reduce repeated reconciliation across teams.

Improve operational visibility

Use observability, lineage and SLA signals to identify issues before they create downstream cost.

Reduce the cost and risk of integrating and governing data after mergers and acquisitions.

Resolve overlapping entities, standardize definitions, trace dependencies and create trusted enterprise context across merged environments.

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Rationalize and standardize

Compare and align customer, product, reference and governance structures across organizations.

Consolidate reporting context

Connect lineage and trusted master data to improve post-M&A reporting consistency.

Enable a single view of entities

Resolve overlapping customers, vendors, accounts and legal entities while preserving source history.

VikiData difference

Extend financial data governance into AI decision governance.

VikiData connects mastered customer and account context, governance, lineage and observability to the AI runtime.

INPUTCUSTOMER / ACCOUNT 360TRUSTMODELPOLICYDECISIONAPPROVALACTIONOUTCOMEEVIDENCE
Customer & Account 360Resolve fragmented records across lines of business.
Regulatory LineageTrace critical financial data from source through reports and AI.
Risk Data TrustMonitor quality, anomalies and freshness before use.
Legal Entity ResolutionCreate trusted entity context across systems.
AI Policy ControlsEvaluate policy and approval requirements.
Decision EvidencePreserve data, model, policy, approval and outcome.
Customer story

One financial institution. One data leader. One measurable story.

Use this section for an approved banking customer or pilot story.

Challenge: Fragmented customer/account data, difficult lineage, weak risk-data trust or AI governance.

Approach: VikiData MDM, governance, lineage, observability and AI controls.

Outcome: The measurable business improvement.

“Approved customer quote goes here.”
VP of Data Engineering — [Financial Institution]

See VikiData applied to your banking data environment.

Choose customer 360, governance, risk, lineage or AI governance use cases for the demo.

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