Data management solutions for financial services
Give your customers the complete relationship view they expect, and that AI demands.
Better decisions and compliance with a unified data foundation
Credit decisions, branch strategy, and AI model governance are undermined by fragmented or ungoverned data. Optimize your outcomes with Precisely solutions.
Solving customer 360 challenges in financial services data management
CHALLENGEA customer with three of your products looks like three strangers across systems
Mortgage, credit card, checking: each in their own platform. When a customer calls, your agent doesn’t see the relationship. A model scores them inaccurately for offers. Duplicate records leave your teams making decisions based on an incomplete customer view.
SOLUTIONBuild a single golden record for every customer relationship
Precisely master data management and data quality capabilities consolidate customer records from every source system into a single, continuously maintained view, with validated addresses and resolved duplicates.
Swedbank uses Precisely data quality solutions to process payments in under 5 minutes and avoid financial penalty.
Banking data compliance for AML, KYC, and SR 26-2
SR 26-2 demands a complete, continuously maintained model inventory with data lineage traceable through every AML, KYC, and credit model decision, including who validated it and how it’s drifted.
- Data quality rules enforce accuracy and completeness on every record entering AML, KYC, and credit model pipelines before a decision is made.
- Data governance tracks model inputs, lineage, and quality scores across the full SR 26-2 inventory with audit-ready documentation on demand.
- Data integration connects mainframe transaction systems, cloud analytics, and third-party screening tools without replatforming.
Financial services data management for branch network performance
Branch decisions made on instinct or a companywide percentage target leave revenue on the table. Location intelligence replaces one-off analysis with a continuously updated view of customer demand and untapped opportunity at every location.
- Location intelligence identifies untapped revenue by mapping customer demand for 20 banking product types against your branch network coverage.
- Predictive analytics models the revenue impact of opening, closing, or reformatting any branch, including simulating competitor behavior.
- Data enrichment appends demographic, business, and datasets to every address in your market, so targets reflect real demand.
Turning location data into higher branch performance
See how a top-10 North American bank increased the proportion of branches hitting sales targets
“If we can provide our teams with quality information, they are in a better position to make sound investment decisions.”
Banking data compliance for AI readiness and governance
Most institutions have visibility into where their data resides, but governance gaps continue to limit the value generated at scale. SR 26-2 places data governance at the center of model risk. A complete AI asset inventory, traceable lineage, and documented quality rules make AI defensible.
- Data governance provides a single catalog with lineage, ownership, and quality rules across every AI input, meeting SR 26-2 requirements.
- Data quality scoring gives compliance teams a continuously updated view of data fitness before models run, not after findings surface.
What financial services organizations get when their data is right
- Pass SR 26-2 model risk examinations with traceable data lineage on every AI input
- Reduce AML false positives and investigator hours with data quality solutions that clean records before they hit screening
- Give every customer interaction a complete relationship view with master data management
- Set branch sales targets on market opportunity, not a companywide percentage, using location intelligence
- Meet banking data compliance requirements across AML, KYC, GDPR, and AI governance in one platform
- Prepare AI for production with a governed, quality-scored financial services data platform
INTERACTIVE ASSESSMENTAssess and Improve Your Data Quality
A practical guide to measuring, scoring, and fixing the data quality gaps that slow down financial institutions.
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Frequently asked questions
What data management solutions help banks pass SR 26-2 examinations?
SR 26-2, issued April 2026, requires a complete model inventory with continuous monitoring and traceable data lineage. Precisely banking data compliance tools provide that inventory, document quality rules for every AI input, and produce examiner-ready evidence on demand without a new infrastructure stack.
How do data quality solutions help financial services reduce AML false positives?
Most AML false positives come from duplicate records and address errors that make the same entity look like multiple parties. Precisely solutions resolve entity identity, validate names and addresses before records reach screening, and maintain the single customer view AML models need to score accurately.
How do data management solutions support branch network decisions for financial services?
Decisions based on uniform percentage targets miss the local market opportunity. Precisely location intelligence capabilities map customer demand at the address level, model the revenue impact of branch network changes, and set opportunity-based targets that branch teams understand and consistently hit.
How do data management solutions build a single customer view for financial services?
Precisely master data management and data quality solutions consolidate records from every source system into a single golden record, with validated addresses and resolved duplicates, so every customer interaction and model decision draws on a complete profile.