Looking to build an analytics system? This post covers storing time-based metrics vs user-centric metrics.
In just a few short years, data-driven teams went from not enough data to drowning in a sea of metrics. Every action, reaction, and result can now be tracked, processed, and analyzed. However, a key question we’ve received is which metrics are important and which analytics architecture and data store is best suited for a particular analytics requirement.