insurance sector

Modern data platforms that support advanced analytics and facilitate full regulatory compliance.

Insurance sector
Insurance sector data solutions

Data and AI enablement for the insurance sector

Rapid advancements in technology intensify competition in the sector, while regulatory compliance is increasingly complex. At the same time, heightened consumer expectations can only be met through personalised experiences.

To gain a competitive edge, insurance companies need robust data strategies. Whether refining existing offerings or developing new products, establishing effective data processes and infrastructure is paramount to meet evolving customer needs and drive sustainable growth in the market.

Addressing the data challenges of insurance

Disparate data silos

With data scattered across multiple systems and departments, insurers struggle to gain a unified view of their customer and operational metrics. This fragmentation leads to inefficiencies, increases risk of errors, and prevents personalised services and actionable insights.


Insurance businesses rely on the accurate and comprehensive data aggregation from disparate sources. The complexity of insurance products and policies makes reporting a main challenge and requires sophisticated analytics capabilities to extract relevant insights and generate compliant reports.

Compliance and auditing

Ensuring regulatory compliance and meeting auditing standards require data solutions based on robust data governance frameworks. As compliance standards are constantly evolving, insurers need a meticulous approach to monitoring and regular adaptations of data management practices.

Legacy systems

Outdated infrastructure hinders agility, scalability and data integration as it often lacks interoperability and struggles to support modern data analytics and reporting requirements. Maintaining and updating legacy systems is costly and time-consuming, diverting resources from innovation.

Solution benefits

Leveraging data to win in insurance

Customer 360°

Leveraging the modern cloud data stack enables insurance businesses to consolidate and analyse customer data from various sources, including policy information, claims history and interactions.

The comprehensive customer view helps insurers personalise offerings, optimise pricing strategies and proactively address customer needs, ultimately improving retention rates and driving profitability.

Fraud detection

Advanced analytics, machine learning algorithms and predictive modelling effectively help detect suspicious patterns and anomalies in real-time.

Cutting-edge data integration allows insurers to correlate information from diverse sources, uncovering potential fraud schemes and enhancing fraud detection accuracy, while continuous monitoring and alerts enable proactive intervention.

Enhanced customer experience

Modern data technology revolutionises the user experience, enabling personalised interactions and streamlined processes that customers have come to expect.

Through data analytics and segmentation, insurers gain insights into customer preferences and behaviours so that they can tailor products and services to meet individual needs.


Automating repetitive tasks, such as claims processing, underwriting and policy administration reduces manual errors and accelerates service delivery. It also empowers both customers and agents, providing instant access to information and support.

Freeing up human resources, automation enables insurers to allocate resources strategically, focusing on activities that drive business growth.

Full regulatory compliance

Compliance standards keep evolving, and regional differences add a layer of complexity that call for agile data management practices when it comes to data validation, reconciliation and documentation.

To mitigate risks and maintain full regulatory compliance, insurance companies need robust data governance frameworks and compliance monitoring tools.

Data protection

Safeguarding sensitive information is crucial for maintaining trust with customers and stakeholders. Modern data platforms enable insurance companies to leverage sensitive customer information while ensuring data security and privacy.

Advanced threat detection tools help identify security risks promptly. Meanwhile, robust encryption and authentication mechanisms protect against unauthorised access, and data masking techniques anonymise personally identifiable information (PII).

Advanced analytics

Modern data technology gives you a competitive edge by driving actionable insights from vast volumes of data.

Analytics-driven decision-making enables insurance businesses to enhance efficiency, adapt to market trends and create innovative products to differentiate themselves in a highly competitive business landscape.

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We are a generation of engineers and technologists who are passionate about transforming organisations with digital-age solutions and seeing them thrive on the cloud.

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migration case study Arch Insurance challenge

Data success story

Arch Insurance logo

Arch Insurance delivers specialised risk solutions globally, spanning diverse industries.

Infinite Lambda helped them migrate from a legacy data platform to Snowflake and dbt. The modern, cloud-based system we built offered the enabled them to keep scaling their business. Adhering to the highest auditability and security standards, it ensured full compliance in the strictly regulated insurance sector.

Leveraging the modern
data stack in insurance

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Cloud Data Transformation in Telecommunications
Data Platform Migration for Enhanced Reporting and Auditability
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World Health Organisation
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The Francis Crick Institute
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We have helped over 50 organisations to deliver projects at different scales with over £100m in ROI.