How to Model SaaS Metrics Like MRR and Churn Using Kimball Dimensional Design

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A technical guide on DEV Community explores how to apply Kimball dimensional modeling principles to SaaS data, which behaves differently from traditional transactional systems. The article uses a fictional IoT cat-collar company called Tabby to illustrate real-world SaaS complexities such as trials, upgrades, churn, and reactivations. It explains why a single transaction fact table falls short for SaaS, since metrics like MRR represent ongoing states rather than discrete events. The author recommends combining an accumulating snapshot table for subscription lifecycles with a periodic snapshot table for monthly MRR tracking. The piece also covers grain selection, SCD Type 2 for historical accuracy, and how to structure dimensions to answer hard analytical questions without recalculating from scratch each time.

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