Data in SaaS
SaaS data: product analytics and usage telemetry, cohort and retention analysis, the metrics layer, and instrumenting a product responsibly.
This block builds data fluency for Software & SaaS professionals who must interpret and act on product, usage and customer data rather than just financial statements. You will learn how core data concepts apply to subscription businesses, then go deep into the specific data sources that matter: product telemetry, billing systems, CRM records, support logs and event pipelines. You will examine data quality benchmarks, instrumentation practices and the analytics stack SaaS companies rely on for cohort, funnel and retention analysis. Finally, you will cover the privacy regulations, consent frameworks and governance structures unique to cloud software, plus the practical audits needed to trust your data before using it for decisions.
What you'll master
- Map the key data sources and pipelines that generate reliable SaaS metrics, from event tracking to billing systems
- Evaluate data quality using sector-specific benchmarks for completeness, latency and instrumentation coverage
- Apply data privacy and governance frameworks (GDPR, SOC 2, data residency) to real SaaS product and customer data scenarios
- Run practical data audits to detect tracking gaps, duplicate events, and misaligned definitions across product and revenue data