Industry: Healthcare | Services: Data and Analytics, Digital Engineering Services
Client Overview
The client is a leading global medical-technology company with over 50,000 employees and more than $20B in annual revenue. They manage a broad portfolio of customer-facing digital services—including eCommerce, self-service, education platforms, analytics, and more—spanning multiple geographies and system architectures.
The Challenge
The client’s digital ecosystem included numerous platforms such as global eCommerce sites, self-service tools, and educational offerings, each with independent data sources. This fragmentation made it difficult to build unified customer views, support analytics, or create consistent APIs. Data lived in silos like Oracle Siebel, Salesforce, Teradata, DocuSign, Postgres, and internal systems, resulting in inconsistent access patterns, lower performance, duplication of effort, and minimal cross-product integration.
Sutherland Solution
Sutherland deployed a dedicated core engineering team to implement a comprehensive platform for the Digital Services portfolio. The team architected a Solr-backed integration layer that consolidated data from multiple legacy systems, enabling high-performance indexed search and unified data access.
As part of the transformation, event-driven microservices and 32+ APIs were developed in Java, Spring Boot, and Solr, each designed to serve region-specific needs while aligning with globally reusable canonical data models. The engineering stack followed polyglot persistence principles, choosing the appropriate data store based on access patterns and performance requirements. Each API was designed for reuse across Digital Services platforms, including digital selling, analytics, self-service, and education, enabling a scalable, consistent domain model across diverse product lines.
The Outcome
Through Sutherland’s scalable architecture, the client gained a unified data platform that powers 32+ APIs used across regions and product lines. Indexed Solr search enables fast, reliable retrieval across customer and service domains, while polyglot persistence ensures data is stored in optimized formats for performance and reliability. Canonical APIs reduced duplication and increased developer productivity, enabling rapid onboarding of new capabilities in the Digital Services portfolio. The platform delivers global alignment across services and performance gains, empowering analytics-driven features and consistency in customer experience across channels.
KEY OUTCOMES
Reusable APIs developed for different regions
Large data platforms integrated
