Zendesk Analytics Power BI Case Study: 20% Efficiency and 25% Cost Reduction

A global technology firm with customer support operations across multiple continents was generating vast Zendesk data but had no analytics layer to surface intelligence from it. Numlytics delivered a complete Zendesk analytics Power BI integration with automated data pipelines, agent performance dashboards, and SLA monitoring, achieving 20% support efficiency gain, 25% cost reduction, 15% CSAT improvement, and 20% ROI increase through data-driven resource allocation.

The Challenge: Zendesk Data Without Analytics

The firm was processing thousands of support tickets monthly across multiple regions and languages, but had no unified view of support performance. Zendesk's built-in reporting was insufficient for cross-team and cross-regional analysis.

• No unified performance view: Agent and team performance could not be compared across regions, making resource allocation decisions subjective rather than data-driven.
• SLA breaches invisible: SLA compliance was tracked manually in spreadsheets. Breaches were identified retrospectively, not in time to intervene.
• CSAT trends untracked: Customer satisfaction data existed in Zendesk but was never analysed for patterns by ticket type, region, or agent.
• No ROI visibility: Leadership could not quantify the cost-per-ticket or identify where resources could be reallocated for greater efficiency.

The Numlytics Solution: Zendesk Analytics Power BI Integration

Numlytics built an automated Zendesk to Power BI analytics pipeline with daily data refresh, a unified semantic model, and role-specific dashboards for support managers, team leads, and C-level leadership.

1. 01
   Zendesk API Data Pipeline

   Automated pipeline built to extract tickets, agents, satisfaction ratings, and SLA data from the Zendesk API daily into Azure SQL Database.

2. 02
   Agent Performance Analytics

   Power BI dashboards showing tickets resolved per agent, average handle time, first-contact resolution rate, and CSAT score by agent and team across all regions.

3. 03
   SLA Compliance Monitoring

   Real-time SLA tracking dashboard showing compliance by priority tier, region, and ticket category. Proactive alerts configured for at-risk tickets approaching SLA breach.

4. 04
   Cost and ROI Analytics

   Cost-per-ticket model built across regions and teams, enabling data-driven resource allocation decisions and identifying the highest-ROI investments in support operations.

The Results

Technology Stack

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