Revolutionizing Efficiency: How Datamatics Transformed a Professional Services Giant

The client is a leading North American professional services giant that enables tech-forward organizations to design, build, operate and automate the technology that powers businesses by bridging the gap between human talent and technology. This firm, renowned for enabling tech-forward organizations to design, build, operate, and automate the technology that powers businesses, thrived on bridging the gap between human talent and cutting-edge solutions.

The Challenge: Struggle to Hear the Customers’ Voice

The client's internal systems were struggling to keep pace with its ambitions. Their client-requisition application, a critical component of their service delivery, was built on outdated technologies with a user interface that was anything but intuitive. Employees and clients found it cumbersome to navigate, leading to inefficiencies that rippled across operations.

For the CIO, this posed a significant challenge. The firm’s internal business applications—spanning CRM, BPM, and other core functions—operated in silos, preventing seamless data exchange and creating bottlenecks in decision-making. Without proper integration, workflows were fragmented, significantly increasing turnaround time.

To stay competitive and deliver the seamless experience their clients expected, the firm needed a radical transformation. Their goal was clear: re-architect the monolithic client-requisition application into a modern, microservices-driven solution using Azure and Angular. This transformation would not only enhance end-user services but also streamline operations, reduce time-to-market, and future-proof the firm’s technology infrastructure.

The Solution: Seamless Cloud Deployment

Datamatics implemented a comprehensive transformation by re-architecting the client requisition application with a modern microservices-based approach. Each microservice was containerized as a Docker image and securely pushed to the Azure Container Registry, ensuring flexibility and scalability.

To enhance performance and reliability, Datamatics deployed the containerized application to an Azure Service Fabric cluster, seamlessly hosting it in the cloud. This robust infrastructure not only improved application responsiveness but also enabled the firm to scale dynamically based on demand.

Recognizing the need for agility, Datamatics implemented a continuous integration and deployment (CI/CD) pipeline on Azure. This ensured that updates were instantly published and reviewed by the client, allowing for real-time refinements and faster go-to-market cycles.