Introduction
A prominent global Telecom services firm aimed to enhance the efficiency of task allocation for complex business deliveries. Analysis revealed potential improvements of up to 60% in lead time to task allocation by upgrading task assignment systems and processes.
Analyzing the Problem
- Inefficient task assignment systems and processes
- Need for upgrading backends, middleware, and workflow management systems
- Ensuring data integrity and channel functionality during upgrades
Initial Challenges
- Lengthy lead time to task allocation
- Outdated backend and middleware systems
- Risk of disruption to data channels during upgrades
Our Solution
Wissen assembled a team of techno-functional experts to devise a comprehensive solution:
- Created an Enterprise Data Model and identified base objects for system upgrade.
- Developed an upgrade strategy based on base models, ensuring the relevance of dependencies and data flow.
- Migrated each model to the new upgraded system sequentially, maintaining data integrity and channel functionality.
- Implemented containerized deployment for improved system scalability and flexibility.
Key Results Achieved
- Enhanced task distribution monitoring for delivery managers
- Drastic reduction in lead time to task allocation
- Improved net promoter score for the telco
Conclusion
Wissen's systematic approach to system upgrades transformed our client's task allocation processes, resulting in significant efficiency gains and improved customer satisfaction. By seamlessly upgrading backends, middleware, and workflow management systems while ensuring data integrity and channel functionality, we helped the telecom company achieve its goal of streamlining task allocation and enhancing overall operational efficiency. This success underscores our commitment to delivering innovative solutions that drive tangible business outcomes in the Telecom industry.
