customer data

A global healthcare leader launched a major initiative to modernize its customer data infrastructure for more personalized, efficient, and compliant engagement across digital and operational channels. They wanted to improve data accuracy, reduce latency, and unify real-time customer information across business systems.

Challenges

The client’s legacy data ecosystem was fragmented, marked by siloed systems, incomplete customer records, and inconsistent data delivery. Their infrastructure could not deliver real-time insights, resulting in delayed marketing campaigns, inconsistent messaging, and redundant customer records across departments.

Key technical challenges included normalizing complex JSON data, creating real-time connectivity between systems, and enabling reliable data synchronization across CRM, claims systems, and customer engagement platforms. The absence of a consolidated data strategy led to operational inefficiencies and poor data quality, hindering progress.

Our solution

Pyramid Talent was engaged to design and implement a modern data architecture that unified the client’s systems through Redpoint Data Management (RPDM) and AWS services. This included designing schema definitions, mapping entity structures, and setting up real-time data workflows using Kafka connectors. To address data normalization, JSON records were flattened and structured for consistent delivery across environments.

The solution leveraged AWS services including Redshift, RDS (PostgreSQL), and S3 for scalable storage and efficient data staging. We used PostgreSQL and RDS for efficient schema design and performance-tuned queries, supported by Python scripts for automation and transformation. To further enhance data integrity, we implemented “Golden Record” logic early in the process, reducing duplication, unifying customer identities, and laying the foundation for a master data strategy.

The result was a scalable, cloud-native solution that enabled faster decision-making, ensured consistent omnichannel delivery, and enhanced member experiences.

Business outcomes

The client realized significant improvements in operational speed, data quality, and cross-system integration. By centralizing customer data and automating key workflows, they unlocked immediate and measurable business value, including:

• Reduced data latency by 85%: Enabled near real-time access to customer data across internal systems and marketing platforms.
• Improved customer data quality by 40%: Enhanced data accuracy and consistency, driven by de-duplication, standardization, and improved entity matching.
• Increased campaign speed-to-market by 30%: Allowed marketing teams to plan and launch campaigns more quickly and effectively.
• Cut manual data processing time by 50%: Automation of data transformation and validation reduced manual effort, boosting operational efficiency and accuracy.

These improvements created a scalable foundation for omnichannel enablement and real-time analytics, improving the client’s ability to deliver timely, personalized communication to its members.

Conclusion

With the successful implementation of a Redpoint-powered customer data platform, the client advanced its enterprise data strategy and reduced operational friction across multiple business units. We helped them move from fragmented, delayed insights to real-time, intelligent customer data delivery.

This transformation is now enabling them to engage members more meaningfully, improve marketing agility, and streamline operations, all while laying the groundwork for deeper analytics, stronger compliance, and a future-ready digital experience.