Metropolis Corp. | www.metropolis.com

+1 (954) 414-2900 | Fort Lauderdale, FL 33304

Power BI Template App

Expo XT Mitel Call Reporting (ACD & SMDR)

Power BI–native Mitel SMDR + ACD analytics—cradle-to-grave journeys, agent & queue KPIs, and trunk capacity insights to slash wait times and prove service-level wins.

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Why Expo XT for Mitel

Standard Mitel reports silo SMDR and ACD data, making cradle-to-grave analysis impossible. Expo XT parses, correlates, and visualizes your MiVoice Business call flows directly in Power BI using a governed semantic model and curated DAX. Trace every customer journey from IVR to final agent outcome, unlock real-time wallboards, and empower teams with self-serve analytics that live inside your Azure environment.

Screenshots

Live ACD Dashboard
Live ACD Dashboard — monitor live service levels, answer speeds, and abandoned calls.
Cradle-to-Grave call journey
Cradle-to-Grave Journey — analyze every leg, transfer, and conference in a single visual timeline.
Heatmap shift analysis
Heatmap Shift Analysis — compare occupancy across shifts to balance staffing and demand.
Historical dashboards overview
Historical Dashboards — long-range views of call volumes, outcomes, and service levels.

What You Get

Key Features

  • Cradle-to-Grave Tracking: Merge SMDR and ACD events into a single call history.
  • Interactive Wallboards: Real-time ACD dashboards highlighting queue health and agent status.
  • Curated Semantic Model: Hundreds of vetted DAX measures for telecom KPIs and SLA compliance.
  • Anomaly Detection: Identify short-call, transfer-loop, and blocked-call patterns instantly.
  • Secure RLS: Predefined row-level security roles for site, queue, and supervisor views.

Competitive Advantage

  • Azure-Native: Data stays in your tenant via Azure SQL / SQL Server.
  • Power BI Freedom: Extend, blend, and customize using familiar tools.
  • Transparent Pricing: Avoid per-seat costs with connection-based licensing.
  • Metropolis Expertise: Backed by telecom specialists with 30+ years in SMDR analytics.