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Ageas, one of the world’s largest insurance companies, processes an enormous number of daily requests for insurance quotes as well as underwriting approvals. Sometimes exceeding 5,000 requests per second, each of these requests needs to be screened by increasingly sophisticated algorithms to ensure validity and detect potential cases of insurance fraud.
Currently, this process runs on an on-premises licensed Hadoop cluster from an industry-leading partner. However, with rising licence and infrastructure costs, increasingly sophisticated algorithms, and an exponentially growing dataset, the cost of running the platform was becoming prohibitive, while quote performance was also declining.
As a result of these factors, Ageas set itself a tight 3–6 month timeframe to not only perform a proof of concept (PoC) of a new solution with its strategic cloud vendor, Microsoft, but also to take this new solution to production and decommission the legacy on-premises cluster.
Colibri Digital was engaged to provide strategic insight, architectural guidance, and development support for the new platform. We conducted a number of workshops with key stakeholders, including business teams, IT leadership, and third-party security consultants. After agreeing on an approved technology set with internal security teams, we led the design and development of a cutting-edge new solution, making use of the latest cloud-native big data tools available on Azure.
Loosely resembling the well-known Kappa architecture, we combined tools such as Azure Event Hubs, Azure Databricks, Azure Data Lake Storage, Functions, and CosmosDB with a more traditional ETL orchestration layer, Azure Data Factory, to deliver a solution that met the needs of both business and IT teams.
Colibri Digital then worked side by side with Ageas’s Engineering and Business Intelligence teams to build both an initial proof of concept and a production-ready implementation of this solution.
In just three months, Colibri Digital designed and delivered a proven cloud-native big data platform on Azure, meeting all the requirements of business teams, IT leadership, and both internal and external security teams. This allowed Ageas to accelerate its original timescale for decommissioning the legacy on-premises solution, resulting in tens of thousands of pounds in operational cost savings.
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