if you need some data, just ask quickly over slack right before your deadline.
if the data doesn’t seem right, simply say “this doesn’t seem right. Can you re-pull?”
even if you may never need the data again, ask for a dashbaord (View Tweet)
Note: How to PO an analyst
The best analogy for an end-to-end data pipeline is still the food supply chain.
Are your data consumers ultimately shopping at the grocery store (self-serve) or a restaurant (fully prepped and prepared) or are they hunting and gathering themselves? (View Tweet)
Imagine crafting clickbait headlines for your data analysis:
“Newly released data team documents indicate major problem with customer churn” (View Tweet)
