How we help banks, insurers, and FinTechs
The financial services industry is undergoing rapid transformation. From improving customer experience to meeting rising regulatory expectations; banks, insurers, and FinTechs depend on high-quality, trusted, and well-governed data to stay competitive. We help financial organisations improve data quality, modernise their data platforms, adopt advancing technologies like AI, and overcome legacy challenges to unlock new value.
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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.
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.
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 governance and compliance frameworks
Data governance and compliance frameworks
Data governance and compliance frameworks
We help financial firms implement governance frameworks aligned to GDPR, PSD2 and FCA obligations by establishing clear data ownership, stewardship responsibilities and accountability structures to support regulatory reporting and risk management.
Data quality management and assurance
Data quality management and assurance
Data quality management and assurance
We enhance data quality by adhering to DAMA principles, ensuring accuracy, consistency and reliability across financial datasets - including the development of data dictionaries so modellers and analysts can use data with confidence.
Machine learning and predictive analytics
Machine learning and predictive analytics
Machine learning and predictive analytics
We implement scalable, ethical AI models that improve fraud detection, credit risk assessment, customer retention and back-office automation - trained on validated, high-quality data for trustworthy predictions.
Strategic cloud adoption
Strategic cloud adoption
Strategic cloud adoption
We help banks and FinTechs migrate legacy systems to secure, resilient cloud platforms - consolidating fragmented data into a single source of truth and supporting operational agility and compliance.
Finance sector success stories
Explore our case studies from the finance sector.
Financial services data FAQs
Learn how data is transforming banking, insurance, and FinTech.
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.
What data challenges do growing FinTechs face?
FinTech is one of the fastest-growing areas in finance, but many firms face a skills gap when it comes to data management, AI, and compliance. As the sector scales, the need for robust, well-governed data strategies becomes critical. We help FinTechs bridge this gap by offering expert support to build scalable data platforms, strengthen governance, and unlock growth through advanced analytics.
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.
