This project demonstrates an end-to-end Business Analysis engagement focused on improving customer support ticket management processes.
The objective was to identify process inefficiencies, document business requirements, design future-state workflows, and visualize operational performance through a Power BI dashboard.
The existing customer support process relied on manual ticket tracking, resulting in:
- Delayed ticket resolution
- Lack of SLA visibility
- Manual assignment of tickets
- Limited management reporting
✅ Improve ticket tracking
✅ Reduce resolution time
✅ Increase SLA compliance
✅ Improve operational visibility
✅ Standardize support workflows
| Tool | Purpose |
|---|---|
| Microsoft Excel | Data preparation |
| BPMN | Process Mapping |
| Jira | Agile Project Management |
| Power BI | Dashboard & Reporting |
| Microsoft Word | BRD Documentation |
Defined:
- Business objectives
- Functional requirements
- Stakeholders
- Scope and assumptions
Created:
- AS-IS Process
- TO-BE Process
Identified:
- Current state gaps
- Improvement opportunities
- Business impacts
Created:
- User Stories
- Acceptance Criteria
- Jira Backlog
- Sprint Tracking
KPIs Included:
- Total Tickets Processed
- Average Resolution Time
- Open Tickets
- Resolved Tickets
- SLA Compliance Rate
- Average Resolution Time reduced from 5.68 days to 1.64 days
- Operational efficiency improved by approximately 71%
- Enhanced visibility into ticket status and department workloads
- Improved SLA monitoring capabilities
Customer-Support-Ticket-Management-System
│
├── BPMN Diagrams
├── BRD
├── Dashboard
├── Gap Analysis
├── Jira
└── README.md


