at Financial Technnology Year
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Big Data Processing Frameworks for Business Intelligence and Analytics
Distributed computing environments that handle massive volumes of insurance data, including telematics, IoT sensor data, and external information sources.
Other Business Intelligence and Analytics
Oracle Financial Services Analytical Applications (OFSAA) for Insurance
By: Oracle Financial Services
https://www.oracle.com/industries/financial-services/insurance/analytics/
By: Oracle Financial Services
https://www.oracle.com/industries/financial-services/insurance/analytics/
Comprehensive regulatory reporting platform for insurance companies with capabilities for data management, risk calculations, and regulatory reporting. Features include pre-built reporting templates, workflow automation, data governance, and audit trails. Supports global insurance regulations including Solvency II, IFRS 17, and region-specific requirements.
SAP BusinessObjects Business Intelligence
By: SAP
https://www.sap.com/products/technology-platform/bi-platform.html
By: SAP
https://www.sap.com/products/technology-platform/bi-platform.html
Scalable analytics platform for insurers enabling big data integration, ad-hoc reporting, interactive dashboards, and predictive analytics for core insurance business processes.
Delivers robust data integration, advanced analytics, interactive dashboards, and self-service BI to enhance claims, underwriting, regulatory reporting, and customer engagement in insurance.
Alteryx Analytic Process Automation Platform
By: Alteryx
https://www.alteryx.com/solutions/insurance
By: Alteryx
https://www.alteryx.com/solutions/insurance
Big data processing, AI/ML, and analytics automation platform enabling insurers to streamline underwriting, claims, fraud, and actuarial data workflows.
Cloudera Data Platform (CDP)
By: Cloudera
https://www.cloudera.com/products/cloudera-data-platform.html
By: Cloudera
https://www.cloudera.com/products/cloudera-data-platform.html
Provides integrated data management, processing, and analytics for insurance companies. Features include real-time analytics, machine learning capabilities, risk modeling, fraud detection, security and governance tools, and compliance frameworks specific to insurance regulations.
A comprehensive BI and analytics platform with specialized functionality for banking analytics, including financial performance measurement, customer analytics, and risk assessment. Features include predictive analytics, visual analytics, and content management.