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Camunda Platform Enhancement & Business Process Automation for Translation & Localization Platform

rst.software

Information technology

Advertising & marketing

Legal

Inefficient Data Flow and Siloed Systems

RWS's production teams were hampered by data silos across independent systems for file storage, project management, and translator work management. This resulted in significant time wastage due to manual data transfer, hindering project delivery speed and limiting platform extensibility.

About the Client

RWS is a global translation and localization company providing services to major brands across various industries. They operate a custom-built platform for managing translation and localization projects.

Project Objectives

Automate data flow across all systems within the translation and localization platform.
Improve the stability and efficiency of the existing Camunda-based platform.
Expand the platform's capabilities by implementing new business processes.
Increase project delivery speed and overall operational efficiency.
Enhance process transparency and standardization.

Functional Requirements

Automated data synchronization between project management, file storage, and translator systems.
Standardized business processes with built-in best practices.
Flexible workflow design and modification capabilities.
Integration with existing legacy components.
Reporting and analytics on process performance.
Support for diverse translation and localization workflows.

Preferred Technologies

Camunda Platform Cloud

Java

Spring Boot

RabbitMQ

Docker

MS SQL

Azure

Required Integrations

Existing file storage systems
Existing translation management systems
Existing translator portal/work management systems

Key Non-Functional Requirements

Scalability to handle increasing project volumes and user base.
High availability and reliability.
Robust security measures to protect sensitive data.
Performance optimization for efficient workflow execution.
Maintainability and ease of future enhancements.

Estimated Business Impact

By automating data flow and streamlining processes, this project is expected to significantly reduce manual effort, increase project delivery speed, and enable RWS to handle a larger volume of projects. The estimated time savings of 468 hours and 1200 hours per year directly translate to increased revenue generation and improved operational efficiency. Improved process standardization will also result in increased transparency and better quality control.