Analysis of the Shared
Services Center
Operations
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Goals
- Discovering real scenarios of operation execution
- Comparison of actual execution variants with an ideal operation models
- Highlighting the most labor-intensive operations
- Identifying the ways to streamline operations
Stages
Setting up operational data collection
- Deployment of Proceset Task Mining Clients on employees’ PCs
- Launch of automatic employee performance monitoring
Analytics
- Calculated the number of executions for each operation
- Estimated the labor cost for each operation
- Indicated all possible scenarios of operation execution
- Compared actual variants of operation execution with the ideal operation models
- Assessed variations of operation execution of different employees
- Detected the ways to optimize operations in the peak load periods
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out the project outcomes
out the project outcomes
Customer stories
Analysis of Personal Loan Origination Process
Analysis of Personal Loan Origination Process
Acceleration of Customer Onboarding
Acceleration of Customer Onboarding
Mass Recruitment Optimization
Mass Recruitment Optimization
Results
Workload balance was achieved through evaluation of actual labor input and labor input reduction in the peak load periods
Credible labor cost calculation based on actual labor data
Reduction of time spent on operations
Implementing this project we not only reached significant operational impact, but also grew in-house competence. This competence will help us improve our processes and operations using Process Mining technology.
— Vadim Feoktistov
Senior IT manager, MMK - Magnitogorsk Iron&Steel Works
Senior IT manager, MMK - Magnitogorsk Iron&Steel Works