Data analysts frequently do not get to participate in the app development process despite being some of its biggest stakeholders. This talk focuses on general guidelines and best practices for application developers on what they can do to optimize data content and quality available for analysis.
Using a fictional scenario we'll talk through what data to save, how to save it, and how to make sure it's best able to be leveraged for use and action in the future. Or, in techo-speak: tracking instrumentation, available tools and libraries, and bugs to avoid.