How we help financial institutions with data
Butterfly Data provides data management, analytics and AI services to financial services organisations across the UK, helping them improve data quality, meet regulatory compliance obligations and modernise their data infrastructure. We support data governance frameworks aligned to FCA requirements, implement master data management solutions, build cloud data platforms and deliver predictive analytics and machine learning models for risk, fraud detection and customer insight.
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Maximise the value of financial services data
We support financial institutions in tackling critical data challenges, whether that's legacy infrastructure, automating operational processes, or enabling artificial intelligence. Our solutions help you make faster, smarter, and safer decisions with validated, trusted data.
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Improve customer experience
Deliver smarter, more personalised services through chatbots, spend insights, and 24/7 support, driven by accurate and consistent data across all systems.
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Break down legacy silos
Unify fragmented systems holding conflicting versions of the same data to protect customer vulnerabilities, and support open banking, faster onboarding, and team collaboration.
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Accurate modelling and data governance
Ensure compliance with regulations like GDPR, PSD2, and FCA through strong governance, underpinned by high-quality data and accurate data dictionaries - providing the clarity needed for reliable predictive models, reporting, and disclosures.
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Unlock the power of AI and automation
Automate key processes across operations, risk, and compliance using AI trained on quality data, so your models can accurately predict outcomes like arrears or defaults.
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Accelerate cloud transformation
Migrate from legacy systems to scalable cloud platforms that improve agility, reduce costs, and consolidate data into a single source of truth - utilising our expertise in popular technologies like SAS and open source.
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Fight fraud with insight
Use advanced analytics and real-time reporting to meet regulatory demands, avoid fines for delays, and reduce fraud, while protecting customers, margins, and reputation.
Recommended financial services data services
We offer complete data management services to help financial organisations build resilient, scalable, and intelligent systems that support growth, compliance, and operational efficiency.
Data quality and linkage ahead of fraud analytics
Data quality and linkage ahead of fraud analytics
Data quality and linkage ahead of fraud analytics
Fraud analytics and network platforms can only find the links the data allows. We clean, standardise and match records about people, businesses and accounts before they reach the platform, so real connections are found and false alerts fall.
Data standards for regulatory returns
Data standards for regulatory returns
Data standards for regulatory returns
Data-led supervision depends on what firms submit. We help public bodies set clear definitions, standards and validation rules for regulatory returns, so submitted data is consistent, comparable and fit to act on.
Quality checks on third-party financial data
Quality checks on third-party financial data
Quality checks on third-party financial data
As banks, card processors and other third parties report more data to public bodies, their quality problems arrive with it. We build automated checks at the point of receipt, so incomplete or inconsistent submissions are caught before they reach compliance and analysis work.
Governed data sharing for counter-fraud
Governed data sharing for counter-fraud
Governed data sharing for counter-fraud
Fraud rarely stays inside one organisation. We put lawful, governed data sharing in place between public bodies, with clear ownership, agreed standards and an audit trail, so matched data can be trusted and defended.
Finance sector success stories
Explore our case studies from the finance sector.
The road to integration
This report examines how financial institutions are adopting AI and machine learning to combat financial crime, highlighting current progress, challenges, and future opportunities based on a 2024 survey of compliance professionals.
Financial services data FAQs
Learn why data matters in financial institutions.
How does data science help in finance?
Data science is transforming finance by enabling smarter decisions in areas like fraud detection, credit risk modelling, personalised customer experiences, and regulatory compliance. With more than 75% of financial institutions already integrating AI into their operations, customer service, and compliance, the potential is immense. We help you prepare for AI and develop suitable solutions using sound data science methodologies.
How can data reduce the risk of fraud and non-compliance?
Accurate, well-governed data is key to spotting fraud early and meeting regulatory demands. Advanced analytics and AI help detect anomalies in real time, while strong data quality ensures reliable reporting. We support financial institutions with the tools to minimise risk, avoid fines, and protect their reputation.
Why does fraud detection depend on data quality?
Fraud detection works by spotting patterns and links across records, such as the same person, address or account appearing where it shouldn’t. If names are spelt differently, identifiers are missing or records are duplicated, real links are missed and genuine cases get flagged instead. Fraud analytics and entity-linking platforms can only find what the data lets them see, so checking and matching data as it arrives, including data supplied by banks and other third parties, has to come first.
Ready to transform your data?
Book your free discovery call and find out how our bespoke data services and solutions could help you uncover untapped potential and maximise ROI.
