DevicePilot turns telemetry into insight
There are hundreds of ways that DevicePilot can analyse your device estate with just a few clicks:
- Do time-series analysis e.g. any math function on any device parameter, over time
- Filter according to device properties, including time-based criteria (e.g. "show me only devices installed in the last week", or "how many devices are still running v0.2 software?")
- Distributions (e.g. "battery level variation across devices")
- Measure overall performance of a device estate as a KPI, according to whatever definition of "working" you like, e.g. if we expect every device to send a heartbeat every hour, and to not be reporting any errors, then according to that definition the device estate uptime over the past week is 87%. And see how KPIs vary over time (trends), and how KPIs vary across different groups (e.g. by customer, by geography, by device time etc.)
- Root Cause Analysis (RCA) of performance problems (e.g. how much of poor device performance is caused by poor signal strength?)
- Find the most/least active users, or devices
- Monitor a new software rollout to catch regressions early
- Draw a heatmap of the geographic distribution of certain devices, or as a set of pins coloured by a certain property
These kinds of analysis can then be presented using DevicePilot's various types of visualisation.