Stratus Data

Manufacturers: what has your #data done for you lately? If you don't feel like you can make accurate predictions of future demand, give us a call. We know how to wrangle lots of disparate data into a clear picture of what comes next. #PredictiveAnalytics #BigData #manufacturing

This #Thanksgiving week, as we survey the year behind and look toward the year to come, we are feeling incredibly lucky to have the team we do. We recently gathered our remote crew for a few days of in-person meetings, a mix of business and play that included a trip to an escape room. As we worked together to solve the clues and break free, it was incredibly clear that as brilliant as each Straton is individually, they become infinitely more formidable in combination. https://lnkd.in/g-8qtMmU #teamwork #BusinessAnalytics

Tired: trade-offs. Wired: getting everything you wanted. When you work with us, you can actually have it all, all at once. Just ask Examinetics. And if your company has a #logistics challenge that's seemingly too complicated to tackle, give us a call.

A look back in time to the founding and building of Stratus Data:

If you're still using traditional curve fitting to model customer retention, allow us to introduce an alternative. Probabalistic models allow you to project the lifetime value of a customer, in perpetuity. They're the business equivalent of a crystal ball, allowing you to make better investments and unlock bigger pay-offs. It's an underutilized approach that's ripe for application across a range of #manufacturing and #logistics use cases. Read more: https://lnkd.in/gpbPCC5s

If you've been following Stratus Data for a while, you've no doubt seen us celebrating our team's skills. You may have also detected a pattern: when it comes to academic credentials, we employ some folks with extensive education. That pattern isn't mere chance, but rather a direct result of our hiring philosophy. In this brand-new Stratus Data Insight, Charles Pensig and Derek Chang explain how they've built a team that consistently delights our customers. https://lnkd.in/gf7ZD_rk

There's a lot of non-numerical data in the world. But there's only one TzuChiao Hung. A recent addition to the Stratus Data team, Tzu-Chiao is applying expertise he honed as a developmental biologist to a whole new problem set. He's a careful thinker, gifted at questioning assumptions and detecting the best approach in the noisiest of data environments, ensuring we spend our time on the right piece of the puzzle. Get to know our whole team at https://lnkd.in/g-8qtMmU. 

People love to hate on WordleBot, the sometimes-scathing avatar the New York Times introduced after acquiring the game from its original developer in early 2022. WordleBot is known for critiquing inefficient guesses and shaming players when they get lucky. But what you might not know is that, before WordleBot was released to wreak havoc on people's confidence, Derek Chang spent a weekend programming a bot to solve Wordle puzzles. And it's hard to beat. Here's how to play Wordle like a data scientist: https://lnkd.in/dNpBFKjJ

This #ThrowbackThursday, we're remembering when founding partner Charles Pensig weighed in on the data-driven approach to business for Fortune's The Trust Factor back in March. https://lnkd.in/gQyqBApX

What is the distance between shades of blue? It sounds a bit like the set-up for a joke or the start of a tedious pseudo-philosophical argument. But actually, it's how one of our founding partners, Derek Chang, calculated the ideal thread color for the embroidery on our company jacket. You might say he's a numbers guy. https://lnkd.in/gZqRKH9R