Objective
The client faced a major challenge with their data management. Their team manually updated various disconnected data sources that fed data into multiple different applications and processes. This approach involved many variations and led to inefficiencies. Requests from users dictated the workflow, often resulting in errors and wasted effort as team members navigated a complex, fragmented landscape.
To address this problem, the client aimed to streamline their processes. By thoroughly understanding the intricacies of their existing system, they sought to:
- Standardize processes to reduce complexity and variability.
- Reduce errors and rework caused by lack of structure.
- Decrease the effort required from users by removing redundant, non-process applications.
- Automate workflows for smoother operation.
$15M
Cost Savings
in potential savings identified
$9M
Automation
in potential savings from automation identified