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By leveraging modern data lakehouse architecture principles and a cloud-first approach, Whiteklay successfully transformed the organization's data infrastructure, enabling better data-driven decision-making, enhanced customer experience, and improved operational efficiency while significantly reducing analytics costs.
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Email: sales@whiteklay.com Phone: +65 6631 8505 Address: Whiteklay Pte Ltd. 60 PAYA LEBAR ROAD #09 - 43 Singapore, 409051
Email: sales@whiteklay.com
Phone: +65 6631 8505
Address: Whiteklay Pte Ltd.
60 PAYA LEBAR ROAD #09 - 43
Singapore, 409051
© 2024 Virtual Data Assistant. All rights reserved.
Results
Cost Reduction in Analytics: Cut analytics costs by 30%, optimizing resources and boosting profitability.
Improved Customer Experience: Customer 360 model sped up services and claim processing, boosting satisfaction and retention.
Enhanced Business Value: Enabled multiple new use cases, increasing business benefits through actionable insights.
Effective Fraud Management: The AI fraud detection system prevented millions in losses by identifying and mitigating fraud.
Solutions
Cloud-First Strategy: Built on a cloud-first approach for scalable, flexible, and future-proof data infrastructure.
Ingestion Framework: Developed an ingestion framework for efficient, robust data handling from 15+ sources in batch and real-time.
Audit Framework: Established a comprehensive audit framework for data integrity and transparency.
Fraud Detection System: Built an open-source AI deduplication engine, reducing fraudulent activities.
Challenges
Data Management and Analysis: Siloed data hindered decision-making, necessitating a unified platform to integrate and analyze diverse data types efficiently.
Customer Experience: Competition forced the company to improve customer satisfaction and retention with personalized services and quicker claim processing.
Fraud Detection: Existing fraud solutions were built using proprietary technologies, which were expensive and offered low flexibility.
Case Study: Data Lakehouse Architecture Implementation
Overview: Create a robust, scalable, real-time data lakehouse architecture while reducing analytics costs.
Business Objectives
Improve Data Analysis and Management: Break data silos and provide insights from customer data, claim records, policy details, and transaction logs.
Improve Customer Experience: Implement robust systems to detect fraud using open-source technologies.
Reduce Analytics Costs: Simplify the overall cost of analytics by adopting open-source technologies.
Strengthen Fraud Detection: Implement robust systems to detect fraud using open-source technologies.
Improve Customer Experience: Implement robust systems to detect fraud using open-source technologies.
Strengthen Fraud Detection: Implement robust systems to detect fraud using open-source technologies.
Improve Data Analysis and Management: Break data silos and provide insights from customer data, claim records, policy details, and transaction logs.
Business Objectives
Reduce Analytics Costs: Simplify the overall cost of analytics by adopting open-source technologies.
Challenges
Data Management and Analysis: Siloed data hindered decision-making, necessitating a unified platform to integrate and analyze diverse data types efficiently.
Customer Experience: Competition forced the company to improve customer satisfaction and retention with personalized services and quicker claim processing.
Fraud Detection: Existing fraud solutions were built using proprietary technologies, which were expensive and offered low flexibility.
Solutions
Cloud-First Strategy: Built on a cloud-first approach for scalable, flexible, and future-proof data infrastructure.
Ingestion Framework: Developed an ingestion framework for efficient, robust data handling from 15+ sources in batch and real-time.
Fraud Detection System: Built an open-source AI deduplication engine, reducing fraudulent activities.
Audit Framework: Established a comprehensive audit framework for data integrity and transparency.
Results
Cost Reduction in Analytics: Cut analytics costs by 30%, optimizing resources and boosting profitability.
Improved Customer Experience: Customer 360 model sped up services and claim processing, boosting satisfaction and retention.
Enhanced Business Value: Enabled multiple new use cases, increasing business benefits through actionable insights.
Effective Fraud Management: The AI fraud detection system prevented millions in losses by identifying and mitigating fraud.
Resources
Email: sales@whiteklay.com
Phone: +65 6631 8505
Address: Whiteklay Pte Ltd.
60 PAYA LEBAR ROAD #09 - 43
Singapore, 409051
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