Your conversion rate metrics are lying to you in subtle ways. Can you avoid the hidden traps when using conversion rates to set targets?
How much does a sample of 1 tell you about a particular metric or measurement? The answer will surprise you.
Does the type of your columns affect the speed of your joins in data warehouses? If so, by how much? Let's run an experiment...
If you’ve ever tried to build an enterprise data warehouse using BigQuery, you’ll quickly realize that the auto-incrementing primary keys you were so fond of in operational databases are not a thing in BigQuery. This is by design. It's not…
How can you count things like to total number of fish in the sea, or drug users in a city, when you can only see a small subset of the population?
You hear this phrase left and right, yet it couldn't be farther from the truth. Let's use Bayes' theorem to break down why this statement is untrue.
What if I told you there was a way to drastically cut down the time it takes for you to deploy machine learning models to production using your data warehouse? It's totally possible with dbt and BigQuery!
Weighted scorecards are great for making a good decision quickly... Wait a minute... Are they?