🛡️ Data Reliability & Accuracy
This section documents the known areas of concern that affect the reliability and accuracy of data flowing through the platform — from the physical sensor, through IoT connectivity, into the software pipeline, and finally to device recharge/billing. It also covers the tools available to investigate issues and two journeys to follow depending on how much you already know about the problem.
Bad or missing data anywhere in this chain shows up as a bad customer-facing number — an incorrect flow reading, a stale dashboard, or a false leakage alert. This section exists to make investigating "why is this data wrong?" fast and repeatable.
🚦 Pick Your Journey
There are two ways to use this section, depending on what you know when you start:
| 🎯 Journey A — I know my symptom | 🧩 Journey B — I don't know what's wrong | |
|---|---|---|
| When to use | You already know what's failing — a specific alert, an offline device, a symptom someone described. | Something's off but you don't yet know where the fault is. |
| How it works | Look up your symptom in a table, jump straight to its debug steps. | Work through 4 checkpoints in order (Connectivity → Data Arrival → Data Correctness → Billing). Each checkpoint lists the likely causes right there before you move to the next. |
| Go to | 🎯 Symptom Lookup | 🧩 Diagnostic Funnel |
Default to 🎯 Symptom Lookup first — if your symptom isn't listed there, it'll point you to 🧩 Diagnostic Funnel automatically.
🗺️ How to Navigate This Section
Summary: Every investigation starts with one question — do you know the symptom? If yes, go straight to 🎯 Symptom Lookup; if not, work the 🧩 Diagnostic Funnel checkpoint by checkpoint. Both roads lead to the same area docs for verification steps, with the Monitoring Tools Reference available to look up any tool along the way.
🗂️ Areas of Concern (Reference)
Both journeys link into these factor pages for the detailed verification steps. Use them directly if you already know which area the issue is in:
| Area | Description |
|---|---|
| 🔧 Sensor Side | Issues originating from sensor selection, installation, damage, or configuration. |
| 📡 IoT | Connectivity and hardware issues at the IoT device level. |
| 💻 Software Issues | Issues in the data pipeline and system architecture. |
| 💳 Recharge Issues | Issues caused by device recharge or payment failures. |
✅ How It All Fits Together
- 🎯 Symptom Lookup (Journey A) — know your symptom? Jump straight to the fix.
- 🧩 Diagnostic Funnel (Journey B) — don't know yet? Work the funnel, checkpoint by checkpoint.
- 🔧 Sensor Side / 📡 IoT / 💻 Software Issues / 💳 Recharge Issues — both journeys land here for the detailed verification steps per factor.
- 📘 Monitoring Tools Reference — what each tool (Uptime Metrics, Offline Dashboard, Data Integrity Alerts, IoT Telemetry, Data Validation, Unit Reset, User Logs) shows and where to find it. Both journeys link back to this as needed — read it upfront if you're not yet familiar with the tools, or look things up as you go.
Factors are tagged 🟢 Mitigation in place where an automated tool/alert already covers them, or 🟡 Status: partial/gap where verification currently relies on a manual check — these are the open items to prioritize automating.