I work on SensorFlow. This is an AI-assisted summary of three tutorials we have already published, collected here for people checking their event-tracking definitions. It is a reading path, not a new product release.
Before trusting an analytics dashboard, I would separate three questions: which records qualify, what the identifiers represent, and which population had an opportunity to act. Fixing one of those does not automatically fix the other two.
1. Event count is not user count
A repeated delivery, a repeated action, and a second identifier are different things. Start by specifying the event filter, duplicate-delivery key, time window, and identity key. A distinct identifier count should not quietly become a claim about distinct people.
SensorFlow connects event ingestion, ClickHouse storage, SQL modeling, and Apache Superset dashboards in a self-hosted stack. Start with a Docker demo, inspect raw events, and define metrics in SQL. Activate licensed ingestion to connect compatible Sensors Data SDKs. Keep your event data on infrastructure you control. SensorFlow is independent of Sensors Data.
