The case for warehouse-based product analytics

Product analytics on top of a data warehouse allows for deeper insights into feature adoption, retention, and satisfaction. Traditional product analytics tools built on event data often fall short in measuring these metrics accurately. By leveraging warehouse-based analytics with tools like Hex, product teams can centralize all necessary data sources, clean and correct rogue event data, enrich it with context, and combine feature success insights into one comprehensive report. This approach helps reduce rework and provides a clear read on feature adoption, ensuring that the features being developed are adding value for users and ultimately for the business.