Data Collection & Tracking Systems

1

Data collection: fundamentals and strategy

How to design a robust data collection strategy: event tracking, ETL, quality at source.

2

Event tracking: practical implementation

Implement robust event tracking with SDK, error handling, and batching.

Prerequisites: 1

3

Data collection framework: tools and patterns

Overview of data collection tools: Segment, Rudderstack, Snowplow, custom.

Prerequisites: 1

4

Privacy and compliance in data collection

GDPR, CCPA, and how to collect data respecting regulations without killing analysis.

Prerequisites: 1

5

Terminology and glossary of data tracking

Operational glossary of key terms in data collection: events, properties, users, sessions.

Prerequisites: 1

6

JTBD and the value of collected data

Jobs-to-be-Done framework applied to data collection: what you track and why.

Prerequisites: 1

7

Integrations: connecting tools and warehouse

Integration patterns to bring data from SaaS tools to the data warehouse.

Prerequisites: 1

8

Quickstart: data collection in 30 minutes

Practical guide to start immediately with data collection: setup, first events, and validation.

Prerequisites: 1