You are an analytics machine. You take in coffee and output actionable insights. But you have one kryptonite: the infamous ad-hoc request. “Hey can you quickly pull these numbers again…” “Hey where was that analysis that you made…” “Hey do you have the query for this?” “Hey is this the

Back when I was a data scientist, I spent a substantial amount of time doing product analytics work — opportunity sizing, experiment deep dives, ad-hoc checks. But although I worked across a wide range of tools — Jupyter/Python, tidyverse, superset, internal tools, even Java UDFs — the bulk of this work was

Last year, we launched a data discovery tool called Dataframe. We wanted to solve the following pain point: it’s hard to find and get context on tables in your warehouse. But by working with customers over the last year we’ve learned that standalone data discovery, while effective at

Process is critical to scaling an org, and we’ve gotten the processes for analytics wrong.A critical aspect of scaling organizations is process. Process allows you to normalize and incorporate best practices to ensure things work smoothly and scalably even when no one is minding the controls. But process

As data analysts, we waste too much time on making dashboards for other people and not enough time on answering deep questions about critical business issues. This is a waste of resources for the individual, and a waste of resources for the business.The real meaty questions about the business

“We are a data-driven company.”I hear you groaning at your screen already. Let’s talk about what this phrase means these days, what we as data scientists and analysts really want it to mean, and how to bridge that gap. Read this before you respond to your next ad-hoc

Or why a consolidation is coming your wayMy take: the current tools to work with data in the market are ineffective and will face a wave of consolidation. Why? There are too many tools, and these tools are not great. Read on to learn more.👇 Problem 1/ there are too

I’m just going to say it: the traditional IDE format is not great for writing queries for analytics work. I’ll start by explaining why, then tell you what you can do about it. First, my explanation — there are two things that you really need to know when you’