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.
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.
Trusted data strategy and governance
Trusted data strategy and governance
Trusted data strategy and governance
We help financial firms implement strong data governance practices, ensuring the accuracy, security, and compliance of financial data, which is vital for informed decision-making, risk management, and regulatory compliance.
AI enablement and analytics
AI enablement and analytics
AI enablement and analytics
From chatbot deployment to back-office automation, we help you implement ethical, scalable AI models that improve both customer experience and efficiency. We also ensure the data feeding those models is high quality, so predictions are trustworthy and accurate.
Cloud migration and optimised infrastructure
Cloud migration and optimised infrastructure
Cloud migration and optimised infrastructure
We help banks and FinTechs adopt secure cloud solutions where appropriate, modernising legacy systems with scalable, resilient infrastructure. This approach unifies data, maintains accuracy, and supports operational resilience.
High-quality data validation
High-quality data validation
High-quality data validation
We enhance data quality by adhering to internationally recognised DAMA principles and guidelines, ensuring accuracy, consistency, and reliability to support timely regulatory reporting, effective risk management, and operational efficiency. We can also help develop clear data dictionaries, so modellers and analysts can confidently understand and use data for its intended purpose.
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.
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.
