It’s been a bit since I posted but I have a career update! I am now the Senior Manager of the RevOps Insights (Analytics) team at 1Password. I think I’ve found my niche. I’ve worked on GTM/RevOps teams for most of my career and am excited to step into a leadership role in GTM data 🤓

No, Facebook, I don’t want to know the “memories” of the cringey song lyrics I posted 15+ years ago

A tale as old as time… Me: “hey data eng team i need some fields added to our Salesforce tables in the warehouse for some GTM analysis” Them: …no Me: what’s the process to submit for approval? Them: (laughs)

The world if central data teams pivoted into building an internal data platform

Golf equipment manufacturers need to work on their data viz and storytelling …

T-25 minutes to this -- you're all registered, right?

When life tells you to compare column types on dozens of tables between their Redshift instance and their Snowflake instance...you make some version of lemonade in Hex

Does anyone else yell at their phone “unsubscribe me” when they get an irrelevant ad?

Lofi Christmas music 👌

When a GTM leader asks for a churn prediction model, they often don’t actually want a churn prediction model. They want to understand levers available to reduce churn…and prediction models don’t tell them that. So much wasted time rebuilding models that never say what the leader actually wants.

YAML is everywhere, even as the automod code on Reddit. What else did I expect.

Great read from Jacob on the benefits and current limitations of using an AI coding companion.

Something I've consistently observed in analytics across multiple companies: The central data team doesn't 'get' sales analytics The GTM Ops team doesn't 'get' how to scale analytics Which means the CCO / SVP of GTM Ops / SVP of CS consistently express frustration about data

Wow be careful everyone

Happy Thanksgiving, especially to all the Export to CSV buttons out there

When I was little, I always told myself “when I grow up I want to provide shareholder value by making pretty Google slides”

Must follow starter pack for any other PNW weather enthusiasts

Back at it again (annual debate over success metrics for customer success)

@matsonj.bsky.social this key cap seems like a must buy

🚨New Blog Post🚨 It's a near-guarantee that your CRM company data like Industry is messy. What if you could leverage the knowledge and synthesis of an LLM to clean it up? And do it directly in SQL in your data warehouse? I recently tried exactly that: www.dataduel.co/llms-in-sql-...

Dropping a blog tomorrow morning about using an LLM in SQL to clean up CRM industry data 👀

Anyone out there working in RevOps / Sales Ops / Marketing Ops / CS Ops? Would love to put together a starter pack for us and haven’t seen one yet.

Went back today and bought this, it’s so cool. Circa early 1918 according to the serial number.

If you aren’t doing your analytics on one of these, you’re ngmi

We ran 80,000 simulations tonight. Analytics Engineers are called Data Engineers in 40,012 of them. They’re called Data Analysts in the other 39,988.

Poll line images like this are madness. We should be making voting as easy as humanly possible for registered voters. A line is a failure. A line means we aren’t gather all the votes we can. It’s like giving a user a 20 field form to fill out before getting into your app.

Happy “my kids didn’t get the time change memo” day to all parents who celebrate

Using LLMs to fill in Industry for accounts with missing / bad data is …. Really effective?? Even using snowflake-arctic is getting reasonably accurate data directly in-line of my query

Unsure the crossover between #dataBS and Seattle sports, but IYKYK

Metric design question: We have a small team formed to deal with renewals that are flat or downgrades to take time off sales/cs plates. We want to measure team efficacy, but all their metrics look horrible since they deal with the hand selected worst/riskiest renewals. How would you handle this?

Finished the 9th and final installment of The Expanse last night. Loved every minute of it.

If I were paid a nickel for every time my data issue was because of deletes the API didn’t tell me about….

It’s only #dataBS if it’s from the Bluesky region of the internet. Otherwise it’s just Sparkling Analytics

I’m about to use Redshift for the first time, I’ve only been in Snowflake since 2017. What should I know about differences between the two?

Absolutely fascinating to watch a SWE team speed run Data Engineering. The prior DE team was disassembled and rolled into SWE and it’s clear as day where SWE best practices get railroaded by the realities of DE. E.g. upstream changes resulting in high urgency tasks that SWE cannot push back on

“We shall spend an incredible amount of money building a data warehouse and a data science team to generate business insights. Everyone will do this.” —Sir, I assume these data teams will be trusted and their data used for important decisions “No, decisions will be made primarily on vibes”

Today is literally Aragorn (@christiannolan.bsky.social) summoning the Dead Men of Dunharrow (Data) from the mountains of X, fulfilling the prophecy of Malbeth the Seer that we would help Isildur’s heir win the War of the Ring (social media platforms)

Candy corn is the Mariah Carey of Halloween

Tired: Trick or Treat Wired (for data peeps): Trunc or Treat

What are the top algo tips on 🦋? Does it reward specific actions more than others to help you discover people to follow?

I’m just here to learn how to generate “actionable insights” for my stakeholders

Is data Twitter back??

That was fun, shot a personal best -2 (70) for my annual 4th of July golf round! Included: * 54 foot eagle putt * 25 yard birdie chip in * Two other birdie putts over 20 feet

To address extreme levels of confirmation bias, the data team has applied the following SLAs: - Stakeholders we like: 1 hour - Executives: Depends on if you’ll approve more headcount next cycle - Line managers: forever promising that your ticket is “going to be prioritized soon”

This is one of those “I remember where I was when…” moments isn’t it?

"The second rate limit has been exceeded."

So you got here from Twitter

It is in moments such as these that we need CSV Janitor to return

Both Reddit and Twitter now unusable in the span of two days so I’m here permanently I guess.

When you’re the only data person at your company