Growth Advisor Hila Qu explains how experimentation (plus strategy) is key to finding growth opportunities.
A Special Advisor to the Los Angeles Dodgers goes behind the scenes of how sports teams use Data Science.
How Eppo serves feature flags to a huge customer base while keeping a light infrastructure footprint of our own.
InvestInData is an angel investor collective composed of 30+ leading data executives.
Feature flagging and randomization are two prerequisites for running experiments. Here's how they work.
With feature flagging, Eppo becomes the first experimentation tool that lets teams operate in a variety of ways.
If you're a business running low-powered experiments, you risk missing out on insights worth thousands of dollars
An experiment is the best way of understanding the causal impact of a decision on business metrics.
It is essential to meet your stakeholders where they’re at in their experimentation journey.
Machine learning models cannot be evaluated without AB experiments. The same is true for machine learning teams.
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Eppo announces our $19.5M Series A
Beneath every high impact data team is a culture of metrics and experimentation
Leaders should set the vision, not dictate roadmaps
A role for the statistician who builds things, or the builder who knows stats
It's really a question of infrastructure and hypothesis generation
Why experimentation culture requires design to thrive
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