Knowledge Sharing
Articles, case studies, and answers to questions from the data community — a space to learn from real problems and share what we've learned along the way.
Predicting Customer Churn for a Subscription Service
How a mix of order history and behavioural signals helped flag at-risk subscribers weeks before they cancelled.
Read More →OLS vs. MLE: Two Roads to the Same Regression Line
A practical look at why ordinary least squares and maximum likelihood estimation often agree — and when they don't.
Read More →When Should You Use a t-test Instead of a z-test?
A community question on choosing the right test when sample sizes are small and population variance is unknown.
Read More →Reducing Checkout Abandonment with A/B Testing
A walkthrough of how a simplified checkout flow was tested and rolled out using a structured experiment design.
Read More →Why p-values Are Often Misunderstood
Unpacking common misconceptions about statistical significance and what a p-value actually tells you.
Read More →How Many Observations Do I Need for a Reliable A/B Test?
A community question on sample size and statistical power, with a practical rule of thumb for getting started.
Read More →