List of Quantemplate Analytics Customers
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Since 2010, our global team of researchers has been studying Quantemplate Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Quantemplate Analytics for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Quantemplate Analytics for Analytics and BI include: Aegon, a Netherlands based Insurance organisation with 15700 employees and revenues of $32.50 billion, James River Insurance Company, a United States based Insurance organisation with 300 employees and revenues of $450.0 million, Sagesure, a United States based Insurance organisation with 1500 employees and revenues of $250.0 million and many others.
Contact us if you need a completed and verified list of companies using Quantemplate Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Quantemplate Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Aegon | Insurance | 15700 | $32.5B | Netherlands | Quantemplate | Quantemplate Analytics | Analytics and BI | 2018 | n/a | In 2018, Aegon implemented Quantemplate Analytics to unify premium and claims datasets for Aegon Blue Square Re and to support global reporting and pricing workflows. Quantemplate Analytics was deployed as an Analytics and BI solution focused on delivering consolidated data for reinsurance and captive operations across the Aegon Group. The deployment emphasized data ingestion and normalization pipelines, automated transformation and reconciliation routines, and configurable analytic models to support pricing and exposure analysis. Configuration centered on finance and actuarial use cases, with reporting workbooks and exposure views tailored to underwriting and actuarial workflows. Integrations were built to ingest transaction and ledger feeds from numerous policy administration systems, enabling a single reconciled dataset for global reporting. Operational coverage included finance, actuarial, and exposure management teams across Aegon Group regions, with the platform providing a centralized source for reinsurance accounting and exposure aggregation. Governance work established standardized data models and reconciliation controls to improve reporting consistency and to streamline actuarial and pricing processes. The implementation delivered a reported 33 percent improvement in data processing efficiency and a 2.4 times increase in throughput according to the Quantemplate case study. | |
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James River Insurance Company | Insurance | 300 | $450M | United States | Quantemplate | Quantemplate Analytics | Analytics and BI | 2019 | n/a | In 2019, James River Insurance Company implemented Quantemplate Analytics. The engagement targeted underwriting and bordereaux management in the United States, using Quantemplate Analytics within the Analytics and BI category to support delegated authority and underwriting functions. The implementation centered on a bordereaux normalisation capability, automating the normalisation and cleansing of incoming bordereaux data to standardize submission formats, apply validation rules, and accelerate ingestion pipelines. Quantemplate Analytics was used to convert heterogeneous cedant and broker files into a consistent data schema, enabling underwriting teams to consume normalized bordereaux for delegated authority processing and risk review. Operationally the deployment supported underwriting workflows and delegated authority administration across James Rivers U.S. operations, with the platform instrumenting data quality checks and automated preprocessing before downstream underwriting consumption. The engagement was described as aiming to improve data quality and speed of bordereaux ingestion, positioning Quantemplate Analytics as the Analytics and BI layer supporting bordereaux management and underwriting decision workflow orchestration. | |
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Sagesure | Insurance | 1500 | $250M | United States | Quantemplate | Quantemplate Analytics | Analytics and BI | 2019 | n/a | In 2019, Sagesure implemented Quantemplate Analytics to automate data preparation, storage and self service BI across its managing general underwriting operations. The deployment emphasized Analytics and BI capabilities to standardize underwriting reporting and broaden access to analytical datasets for business teams. Quantemplate Analytics was configured to centralize data ingestion and ETL workflows, enforce standardized data mapping and curate unified analytical datasets used for reporting and underwriting analysis. The implementation included persistent data storage and model curation, transformation pipelines and published reporting artifacts to enable business consumption. Configuration prioritized repeatable pipelines for underwriting data and templated reports aligned to managing general agency workflows. Operational scope targeted underwriting and operations functions, with reporting use cases prioritized to support rapid product and geographic expansion in the United States. Public materials do not enumerate specific third party integrations, the project documentation highlights automated data preparation and storage as the technical foundation. The deployment produced self service BI artifacts and operational dashboards intended for underwriting decision support and routine reporting. Governance activities established data stewardship and access controls to democratize data access across business teams, coupled with curated datasets and role based access for reporting and analysis. The implementation focused on operationalizing reporting for underwriting and operations and supported Sagesure in scaling product offerings and geographic coverage as described in the vendor announcement. |
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