Experimentation analysis can take days if not weeks to be thoughtfully analyzed, which can either reduce your team's throughput or may reduce your organization's capability to make decisions based upon tested learnings without them becoming irrelevant. More often than not teams are not well equipped with multiple analysts and data scientists, so scaling the experimentation program is capped by their throughput.