SpringML: What is your current position at SpringML?
Nicolai – I’m a Solution Architect focusing on Salesforce Einstein. I’m responsible for introducing the overall technical vision of a solution for a customer. I work closely with customers to figure out what issues they are facing today, and coming up with a solution that best solves their needs and evolves them in their analytical and Salesforce journey.
SpringML: What’s the first thing you do when you come into work and last to wrap up the workday?
Nicolai – I work from home, so I don’t travel into an office, but the first thing I do every morning is to drink a cup of coffee and walk my dog Lego. It’s a great way to get some exercise and get outside before the workday. I don’t have a routine to wrap up my workday, but I do always go on a run after I’m done with work.
SpringML: If you could choose anyone, who would you pick as your mentor?
Nicolai – Wow, that’s a tough one! Marc Benioff has inspired me a lot in the Salesforce ecosystem, so I’d probably like to have him as a mentor. He’s an extraordinary leader that has grown a great business and developed an influential “Ohana” culture. Plus, his philanthropy and idea that business should be used for good is something we can all look at.
What are 3 words to describe SpringML?
Nicolai – Creativity, innovation, and family. We’re all creative people that deliver innovative, forward-thinking solutions. And we are all close – we’re a big, happy AI-enthusiastic family!
SpringML: What are your favorite features of Salesforce Einstein Analytics?
Nicolai – This is a difficult question, as there are so many things I love about Einstein Analytics. Still, one feature I really love is the ability to embed dashboards on record pages, giving an analytics-first experience without the need to navigate to a separate app or tool. It really helps to increase adoption!
SpringML: During Dreamforce ’19 you shared how you can create your first AI prediction using clicks-not-code with Einstein Prediction Builder. Do you have any quick tips on how to build your first Einstein Prediction?
Nicolai – If I had to give one tip, it would be to come up with a strategy for actions users can take armed with the knowledge of the prediction. I encourage you to build automation off of the prediction using tools like Process Builder or Einstein Next Best Action. A prediction on its own doesn’t do much, you have to act on it for it to be really meaningful!
SpringML: What suggestions do you have in creating a Next Best Action Recommendation?
Nicolai – I recommend to build a Next Best Action Recommendation off of a Prediction Builder, or Discovery predicted score. For example, imagine you built a Propensity to Churn model in Prediction Builder. You could build a Next Best Action Recommendation to take really drastic action, such as give a discount or offer free promotion to customers with a high propensity to churn, where you wouldn’t need to do that for customers with a lower churn likelihood.
SpringML: Best vacation you’ve been to?
Nicolai – I just got back from my honeymoon, which was the best vacation I’ve ever had. We traveled throughout Germany and Portugal. There were so many highlights, but if I had to choose one, it would be the six soccer matches we went to, including four in four days. My wife and I were engaged and married on a soccer pitch, so playing and watching it is a huge passion of ours. The best match was Borussia Dortmund vs. FSV Mainz, where we stood with the Dortmund ultras!
SpringML: What do you enjoy doing when you are not working?
Nicolai – This past year, I’ve focused a lot of my energy outside of work on running. I joined a running team this year, and it helped me run faster than ever before; I ran my first half-marathon in 1:20. The goal for 2020 is to qualify for the Boston Marathon, which requires running a sub-3:00 marathon.
SpringML: How do you find a work/life balance?
Nicolai – For me, a key piece is that you always need to find the time to exercise. If I go more than a day or two without exercising, I get really stressed. After exercising, I find myself rejuvenated for the next workday!