About the Client
A consumer IoT innovator building pool and water monitoring products needed an Android app and a cloud analytics layer. The goal was simple. Give end users timely guidance while keeping operations teams informed with device status and trends.
Challenge
- Unify readings from many deployed units in real time
- Parity with an existing iOS experience and design system
- Reliable reporting across usage, missing reads, and exceptions
- Connector based integration with BI tooling for visualization
Approach
- Android app delivery. Built from approved prototypes, optimized for Google Play requirements and device coverage
- Analytics integration. Connector driven pipeline into a BI tool for dashboards and scheduled reports
- Incremental validation. Regular test builds, data spot checks, and usability passes
- Clear handoff. Code, API notes, and runbooks packaged for client ownership
Outcome
The team launched the Android app on schedule and enabled a reporting layer that operations could use daily. End users saw clearer guidance. Internal teams gained faster insight into device health.
| Metric | Result |
|---|---|
| App Launch Timeline | 15 weeks |
| Device Data Reports Supported | 15+ |
| Data Reliability | 99% |
| Documentation Quality | Client rated 5/5 |
Scope Summary
- Android application development with REST API integration
- Connector based reporting into a BI tool
- Up to fifteen predefined insights including usage, gaps, and performance
- Source code and IP fully owned by the client
Related Capabilities
Representative Queries
Examples of device data views delivered through the dashboard. .
- Units that reported core readings in the previous day
- Units that crossed a defined consumable threshold
- Units that missed one or more readings in a period
- Units with elevated current paired with missing readings