Challenge
Although the company had deployed Pendo for product‑level usage analytics, insights were trapped inside the tool, limiting downstream analysis. The lack of integration with enterprise systems restricted their ability to uncover cross‑platform correlations and operational drivers.
The organization faced the following challenges:
Data Silos & Limited Correlation
Pendo insights could not be combined with enterprise data related to pricing, logistics, customer segments, or operational KPIs.
Manual & Inconsistent Ingestion Processes
Teams relied on ad‑hoc extraction methods, causing delays, inconsistencies, and gaps in analytical workflows.
No Support for Historical Reprocessing
Schema changes, onboarding of new features, and retroactive analysis were difficult due to rigid ingestion patterns.
Poor Auditability & Governance
Manual ingestion processes created gaps in data lineage, auditability, and quality validation.
Environment‑Specific Filtering Issues
Non‑production/test data often contaminated analytical outputs, requiring manual filtering.
Need for a Production‑Grade, Cloud‑Standard Solution
To scale adoption across product, analytics, and engineering teams, the organization needed automated, secure, governed, and reusable patterns aligned with modern Azure standards.
