{"id":60466,"date":"2025-05-16T12:03:35","date_gmt":"2025-05-16T06:33:35","guid":{"rendered":"https:\/\/blazeclan.com\/studies\/leading-insurer-cuts-turnaround-time-by-96-by-unifying-50-data-systems-with-blazeclan-2\/"},"modified":"2025-05-21T16:58:20","modified_gmt":"2025-05-21T11:28:20","slug":"leading-insurer-cuts-turnaround-time-by-96-by-unifying-50-data-systems-with-blazeclan","status":"publish","type":"case_study","link":"https:\/\/blazeclan.com\/en-eu\/studies\/leading-insurer-cuts-turnaround-time-by-96-by-unifying-50-data-systems-with-blazeclan\/","title":{"rendered":"Leading insurer cuts turnaround time by 96% by unifying 50+ data systems with Blazeclan"},"content":{"rendered":"\n<p><strong>Founded in Asia in 2013, this leading life insurance company has emerged as a pioneer in the industry, committed to enhancing customer experiences through innovative, technology-driven solutions.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Key Challenges<\/h3>\n\n\n\n<p>The company faced significant data fragmentation across more than 50 source systems. This lack of integration hampered decision-making, reduced operational efficiency, and limited opportunities for data monetization. To drive innovation and improve agility, the company needed a unified data solution.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Key Requirements<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Consolidation<\/strong>: Integrate and streamline data across departments to eliminate silos.<\/li>\n\n\n\n<li><strong>Timely Decision-Making<\/strong>: Deliver relevant, real-time insights to key stakeholders.<\/li>\n\n\n\n<li><strong>Operational Efficiency<\/strong>: Improve reconciliation, data quality, and transparency.<\/li>\n\n\n\n<li><strong>Hyper-Personalization<\/strong>: Leverage behavioral data from all customer touchpoints to deliver highly personalized experiences.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Our Solution<\/h3>\n\n\n\n<p>Blazeclan implemented a powerful, scalable solution to address the company\u2019s data challenges and strategic goals:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI &amp; Analytics Use Cases<\/strong>: Deployed 29 advanced AI and analytics use cases to unlock deeper value from enterprise data.<\/li>\n\n\n\n<li><strong>Unified Data Hub (UDH)<\/strong>: Created a centralized hub delivering real-time insights across all touchpoints. The UDH improved decision-making and monetized previously untapped data.<\/li>\n\n\n\n<li><strong>Optimized Data Investment<\/strong>: Maximized ROI from the data lake and warehouse by enabling smarter insights and driving operational efficiency.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Our Approach<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Strategic Integration<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Databricks on AWS<\/strong>: Built a unified data platform leveraging Databricks Lakehouse on AWS, merging the best of data warehouses and lakes for simplified management and powerful analytics.<\/li>\n\n\n\n<li><strong>Microservices API<\/strong>: Developed and deployed Microservices APIs to support near real-time data consumption with minimal latency.<\/li>\n\n\n\n<li><strong>AWS Native Services<\/strong>: Implemented comprehensive monitoring and logging with AWS CloudWatch, SNS, and CloudTrail for enhanced security and performance.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Databricks Lakehouse Architecture Advantages<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Unified Analytics<\/strong>: Supports in-depth analysis of both structured and unstructured data.<\/li>\n\n\n\n<li><strong>Versatile Workloads<\/strong>: Enables real-time streaming and machine learning for advanced insights.<\/li>\n\n\n\n<li><strong>Scalability<\/strong>: Handles large volumes of data with horizontal scaling.<\/li>\n\n\n\n<li><strong>Data Consistency<\/strong>: Maintains data reliability using ACID transactions.<\/li>\n\n\n\n<li><strong>Simplified Architecture<\/strong>: Eliminates the need for separate data lakes and warehouses.<\/li>\n\n\n\n<li><strong>Cost Efficiency<\/strong>: Delivers robust analytics with lower storage costs.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Outcomes<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Lead Cleansing &amp; Enrichment<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Built a dynamic dashboard processing over 2.7 million leads.<\/li>\n\n\n\n<li>Generated 80.5 million THB in annual premium equivalent.<\/li>\n\n\n\n<li>Reduced turnaround time by 96%\u2014from 24 hours to under 1 hour.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Event-Driven Data Streaming for AI-Based Underwriting<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Enabled real-time data triggers for faster processing.<\/li>\n\n\n\n<li>Improved accuracy by transforming source data from JSON to AVRO format.<\/li>\n\n\n\n<li>Replaced legacy systems with real-time streaming to boost data precision.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Customer 360 Dashboard Migration<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Migrated from Tableau to Power BI for enhanced performance.<\/li>\n\n\n\n<li>Enabled features like quick search, multi-language support, customer profiles, policy overviews, and sales insights.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Tech Stack<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Cloud Platform<\/strong>: AWS Public Cloud Hosting<\/li>\n\n\n\n<li><strong>Data Platform<\/strong>: Databricks Lakehouse<\/li>\n\n\n\n<li><strong>Data Streaming<\/strong>: Confluent Kafka<\/li>\n\n\n\n<li><strong>Data Engineering<\/strong>: Spark Streaming &amp; Batch Workloads<\/li>\n\n\n\n<li><strong>API Management<\/strong>: Amazon EKS, API Gateway<\/li>\n\n\n\n<li><strong>Advanced Analytics &amp; Reporting<\/strong>: Power BI<\/li>\n\n\n\n<li><strong>MLOps<\/strong>: Databricks MLOps Workflows<\/li>\n\n\n\n<li><strong>Database Management<\/strong>: AWS RDS<\/li>\n\n\n\n<li><strong>Monitoring &amp; Logging<\/strong>: AWS CloudWatch, SNS, DevOps Tools<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Leading insurer unified data from 50+ systems into a centralized hub, improving decision-making and reducing turnaround time by 96%. Blazeclan\u2019s AI-driven solution enhanced operational efficiency, data accuracy, and customer personalization, leveraging AWS Databricks, Kafka, and Power BI for real-time insights and automation.<\/p>\n","protected":false},"featured_media":60342,"parent":0,"menu_order":0,"template":"","case_category":[3959],"case_tags":[4309],"class_list":["post-60466","case_study","type-case_study","status-publish","has-post-thumbnail","hentry","case_category-data-modernization-en-eu","case_tags-data-modernization-en-eu"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Leading insurer cuts turnaround time by 96% by unifying 50+ data systems with Blazeclan - Blazeclan<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blazeclan.com\/en-eu\/studies\/leading-insurer-cuts-turnaround-time-by-96-by-unifying-50-data-systems-with-blazeclan\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Leading insurer cuts turnaround time by 96% by unifying 50+ data systems with Blazeclan - Blazeclan\" \/>\n<meta property=\"og:description\" content=\"Leading insurer unified data from 50+ systems into a centralized hub, improving decision-making and reducing turnaround time by 96%. 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