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Ryan Janssen
CEO @ Zenlytic
Ryan Janssen is the co-founder and CEO of Zenlytic, a company that specializes in business intelligence and data analytics.15 He is an entrepreneur, data scientist, and technology investor with a diverse background in engineering, venture capital, and data science.2
Background and Education
Ryan holds multiple degrees:
- Master's in Computational Data Science from Harvard University
- MBA from the University of Oxford
- Electronics Engineering degree from the University of Alberta1
Professional Experience
Before founding Zenlytic:
- Partner at Ex Quanta, a data agency helping companies become more data-driven
- Vice President at AGC Equity Partners, leading transactions in the technology sector
- Principal at m8 Capital, a venture capitalist firm investing in technology startups
- Project Engineer at Enbridge Pipelines
- Software Engineer/Developer at Willowglen Systems1
Zenlytic
Founded in 2018, Zenlytic offers a no-code analytics tool for e-commerce and DTC businesses.4 The company has raised $6.4 million in total funding, with its most recent round of $5.4 million occurring about two years ago.5
Expertise and Vision
Ryan's expertise lies in combining AI capabilities with robust technical infrastructure to solve real business problems.3 He sees Zenlytic as the next step in the evolution of business intelligence platforms, focusing on creating natural language interfaces for data analysis.3
Ryan Janssen's LinkedIn username is ryanjanssen, as mentioned in the query.
Highlights
If my math is right, I just finished my 500th interview for the Zenlytic team. One lesson I’ve taken away from it:
In the early days, you have to work pretty hard to convince people to believe in what you’re building and join your team. Rightfully so.
But if you do it “right”, that changes.
Once you reach a certain level of excitement — talented people start coming to you. And it’s humbling. The fact that people believe in your mission so much that they want to make it their career means a lot.
Now, that's Phase 1. When people want to join the mission. Phase 2 comes when people want to join an amazing team. Great people want to work with great people.
So here's the lesson: how do you make that jump from Phase 1 to Phase 2?
My biggest unlock is: stay lean. Phase 2 people don't look at the most talented/most passionate/greatest person to work with on the team - but rather the median. Small, high talent-density teams are usually more appealing to work for. Especially for the type of people who drive a Phase 2 flywheel.
And yes - there are a bunch of really great folks out there who have shared a ton of passion for what we're building at Zenlytic that we haven't hired yet. You know who you are! 😛 Please know that we're still stoked, just literally trying to keep ourselves aggressively lean for the stage we're at. And we hope to move on y'all as we expand.
It's practically the data team's mantra: People, processes, tools. So why does it feel like nobody really does them all?
I think the answer is that most data teams don't know how. Especially the people and processes part.
We're a group that loves tech and automation. so we naturally gravitate towards the tools. But I think many data types find the other two less interesting - and they don't have many chances to learn while grinding SQL.
But I think we can all appreciate the difference between A+ and D- data functions is how they communicate, empower the org, and drive meaningful change. It takes all three pillars.
So let me break down the 80/20 of each for you in 3 minutes:
- Tools
→ Reliable: Trust is a non-renewable resource in data. Build tools that won't erode trust.
→ Usable: It has to be ridiculously easy to get the data you need. Like, a few clicks. Your end users don't love the tools as much as you do.
→ Traceable: Data without context is useless. Have you noticed how often people ask 'where does this data come from'? Use tools and metadata that make it easy to understand the data lineage.
- People
→ Training: Do group training at least quarterly. It's probably the single biggest thing you can do make your team more data-driven. And the single biggest distinction I've seen between A+ and D- data teams.
→ Culture-building: It's the data team's job to build a data-driven culture in the team. Your marketing managers trust the fb CAC table like it’s the bible. Sounds like a small switch, but building a culture of trusting and relying on data is paramount.
→ Politics: Gross, right? But if you feel like the data team doesn't have influence, it's probably because you don't have support from the right senior people. Which means you're probably not securing support correctly.
- Processes
→ Consistency: Set up a weekly business review to check key metrics. This’ll give you an intuition for what’s working and what needs to be done very quickly.
→ Feedback: Have multiple redundant ways to collect feedback on the data. These can be as simple as a Slack channel or as formal as an internal NPS. Regardless, you need to understand how your data’s being used across the org.
→ Proactivity: When things go wrong with data systems (and they always will), it's important you catch them first. Essential for building that trust.
Alright, that was a lot. There's unfortunately a lot more, but these principles alone can get you a great head start in actually living the 'big 3.'
