Writing DAG

Sometimes writing is hard and other times it's downright impossible. Stack the odds in your favor with a writing system. Writing is not one skill. It's more than stringing words together. You need to research, outline, draft, edit, edit, edit, and share. A common failure mode is attempting to cram

One-Way or Two-Way Doors

Benn Stancil wrote about measuring analytics success [https://benn.substack.com/p/method-for-measuring-analytical-work] by speed of decisions made - not the outcome of the decision. Tristan Handy followed up in the Analytics Engineering Roundup [https://roundup.getdbt.com/p/decision-speed-and-one-way-doors] like a true analyst. He added a caveat. Tristan cited

DPIM Framework: Bundling Better Infra, People, Models, and Data

I cannot stop thinking about this tweet.

Data’s Secret Sauce

There’s a barrier to sharing your analysis beyond the  four firewalls of your company’s network. It’s private. It’s sensitive. Some even say looking at an internal analysis is to peer into a company’s soul [https://benn.substack.com/p/chasing-ghosts]. Finding a way to be

Open Book Analytics

The data field is changing. People in the industry feel it. It’s an exciting time, but difficult to explain exactly why. Several people have shared their takes, but no one seems to fully capture what our profession is experiencing today. Is this momentum coming from another rebranding of data

Analytics Crafting a Way Forward

There is a developing train of thought in the analytics hive mind. It has been rolling us towards approaching our work as a craft - not a sterile set of empirical technical tools. At first glance, this idea doesn’t fit the narrative. Analysts are hard on the numbers and