Back in 2020 I talked about personal Qlik Sense App which I use to analyse my Garmin activity tracker data. More recently, I we've begun a transition to Qlik Sense SaaS, as part of that journey I've been playing with the platform and using my Strava data to create a new app through SaaS. I wanted to use this as an exercise to understand the process a user can go through to build an app from simple data set to quickly generate insights. Within less than an hour I had imported the data and created a summary dashboard showing my distribution of activity types and distance, pace vs heart rate and aerobic training effect. All of which I can drill down by activity type and time periods.
Discoveries
Understanding the journey for a user to rapidly build out an Qlik Sense App through the SaaS platform. Along with Build my own analytics tool to allow me to compare activity statistical data, speed, stroke rate, distance, etc.. .
Impact
Rapidly build out an insightful app through SaaS with the objective of visualising, analysing and understanding my activity tracker data in a more intuitive and flexible manor, beyond the functionality the tracker vendor or 3rd party provided analytics functions.
Audience
The audience for this app was me personally
Data and advanced analytics
The data and analytics within this app has provided me with the ability to compare similar activities in order to understand effort, performance and time improvement through my training program.