Part 7/12:
Initial stages saw data stored in MySQL with basic dashboards using Google Sheets.
The system expanded to include streaming data via Kafka, with batch data managed in pipelines.
Ultimately, the team adopted Snowflake as their central data platform, enabling complex analytics such as personalized customer experiences.
They consciously chose to develop an in-house Customer Data Platform (CDP) rather than rely solely on off-the-shelf products, thus tailoring solutions to their specific needs and avoiding future compatibility issues.
This evolution demonstrates a build versus buy approach, emphasizing testing solutions through trial periods before scaling.
Maturity Metrics and Continuous Improvement
Throughout the journey, measuring progress involves key indicators: