Turning raw usage data into actionable insights

Applications produce massive streams of telemetry: user actions, API requests, error logs, and feature usage metrics. These often reside in multiple databases, analytics platforms, and logging systems.

Without reliable data pipelines, teams struggle to understand real product performance, identify issues, and prioritize development efforts.

Mage orchestrates these data streams into trusted workflows, delivering consistent metrics and dashboards to product managers, engineers, and analysts.

What this enables

• Track feature adoption and usage patterns

• Identify performance issues or anomalies

• Feed data into product analytics and experimentation platforms

• Support customer success and engagement strategies

How a workflow runs

1. Ingest telemetry, log, and analytics data

2. Normalize and aggregate events across platforms

3. Transform for dashboards and reporting

4. Deliver datasets to product and analytics teams

5. Monitor for pipeline reliability

Key outcomes

✔ faster identification of product issues
✔ actionable insights on user behavior
✔ improved prioritization of features and fixes
✔ consistent metrics across products and platforms