In any decision-making process, there are 5 steps involved - creating metrics, debugging the problem, collaborating on top of it, making the decision, and measuring its impact. Kepler only allows operations teams to create a metric and debug the problem. However, with Locale, teams can also collaborate, take decisions and measure impact.
Another reason why Kepler is not suited for high growth companies is that Kepler is not scalable. It needs the teams to manually upload data every time they want to look at something, while with Locale, there’s one-time integration only. Once a flow is set of the data, operations teams can come and use the product however they like.