These findings revealed critical inefficiencies in response time, prioritization, and resolution flow.
Impact
Improved visibility into support performance and SLA tracking
Enabled faster identification of bottlenecks and delays
Supported better resource allocation and workload balancing
Helped optimize response times and improve service quality
SLA dashboards are critical because they centralize performance metrics and enable proactive decision-making, improving efficiency and customer satisfaction
Approach
Data collection from support systems
Data cleaning and structuring
KPI development (SLA, tickets, performance)
Interactive dashboard design in Power BI
🛠Tools
Power BI
Excel
Dashboard Highlights
Operational KPIS Overview
Outcome
Delivered a scalable analytics solution that enables continuous monitoring of support operations, reduces SLA risks, and improves overall customer experience.