The technology to cost-effectively store massive amounts of raw metrics / data and quickly derive insight from it is still a relatively recent development, and

The technology to cost-effectively store massive amounts of raw metrics / data and quickly derive insight from it is still a relatively recent development, and so far we've seen turn-key tools to leverage that in just a few areas: 1. Where developers themselves are the likely product users (think Google Analytics, New Relic, Optimizely, Appdynamics) 2. Where there is a direct and immediate connection to $$$ (finance / quant stuff) 3. Generic data science platforms (Cloudera, Hortonworks, Databricks) I think there is still tons of opportunity for industry-specific turn-key data science tools. Especially for verticals where there is a low coincidence of skilled developers with industry domain expertise.