Ken Ono
Building digital analytics features into web and mobile products is a small but strategically important set of activities when building out an MVP (minimum viable product) or rewriting a product. This blog post reviews where analytics planning intersects with other project kick off activities.
When delivering mobile and web applications that include analytics, it is important to gauge the organization’s current analytics capabilities and how the project can advance them.
A common scenario is to tack implementing digital analytics onto the end of a project at the last minute. While this is much better than flying blind, better outcomes can be obtained by spending that time earlier in the project.
With support from Dave van Reese. Enterprises inspired by Agile and Lean startups often embark on mobile and web projects only to be disappointed. Although they faithfully implement many Lean practices, entrenched processes elongate cycle times and can dampen the benefits.
A key to successful projects is incorporating learnings to drive decisions. To obtain learnings from live users, teams must deliver features that collect and analyze behaviour. This post discusses writing user stories that involve analytics.
Good analytics are no longer just a nice-to-have. Your digital analytics are one of your competitive imperatives. Companies that win, will succeed through data driven insights and increasingly through automated intelligent systems.
As a JavaScript developer, you may find it disorienting when you first start learning about yet another large subject matter that is Google Analytics and Google Tag Manager (GA/GTM). There are many GA/GTM articles and examples that paint a confusing or outdated picture for single page and mobile apps. However, fear not. This post introduces GA/GTM to seasoned JavaScript developers and suggests the best practices we’ve adopted here at Rangle. By following our tips, you’ll be able to drive better value for clients and produce actionable insights from your application’s data.