Company Level Dashboard
eMabler Sense – Data Insights provides a comprehensive view of your charging network’s operational health, utilization, and performance.
The Company Dashboard consolidates real-time data from all connected chargers and sites, helping operators monitor uptime, detect issues, and analyze charging trends across the network.
1. Sockets
What it measures:
Displays the total number of sockets across the network and their current operational states. Each category represents a live status reported via OCPP.
Status | Description |
---|---|
Available | Socket is online and ready to start charging. |
Charging | Socket is currently in use. |
Preparing / Finishing | Transition phases before or after an active charging session. |
Unavailable / Offline | Socket temporarily disabled or not connected to the network. |
Suspended Car / Suspended Charger | Charging session paused by the vehicle or charger logic. |
How to interpret:
A high number of Available and Charging sockets indicates a healthy, active network.
A rise in Unavailable or Offline sockets may signal connectivity or local infrastructure issues.
This metric provides a live snapshot of charger readiness and utilization potential.
2. Utilization Rate (Last 7 Days)
What it measures:
Percentage of total time chargers were in active use versus available time during the past week.
How to interpret:
Higher utilization = busy sites with frequent usage, suggesting good placement or demand.
Low utilization = potential underuse, signaling opportunities for site optimization or pricing adjustment.
Tracking daily changes helps identify consistent usage patterns and periods of inactivity.
3. Success Rate (Last 7 Days)
What it measures:
Proportion of charging attempts that successfully start a session.
How to interpret:
100% success rate means every plug-in attempt led to a working session — excellent reliability.
Lower rates can indicate charger communication errors, user interruptions, or compatibility issues.
Maintaining a consistently high success rate ensures a positive customer experience and reliable service operation.
4. Sites with Issues
What it measures:
Lists sites currently reporting operational or connectivity problems.
How to interpret:
Sites displayed here require review or maintenance.
If a site frequently appears in this list, it may indicate recurring local network, configuration, or power supply issues.
This section helps prioritize field actions by clearly identifying affected sites. Affected sites will be visible on the map if sites have sufficient location data present.

5. Charger Errors (Last 7 Days)
What it measures:
Aggregates charger error events by type and frequency across all sites.
Common error types:
HW_FAILURE: Hardware-related malfunction (e.g., internal charger component error).
COMM_FAILURE: Communication interruption between charger and backend.
How to interpret:
A high count of recurring errors may indicate the need for hardware inspection or firmware update.
Comparing across sites helps identify patterns or site-specific faults.
This data supports proactive maintenance and reliability tracking.

6. Sessions (Last 30 Days)
What it measures:
Displays the total number of charging sessions recorded daily across the network over the last 30 days.
How to interpret:
Stable or growing session volume = consistent customer activity and platform reliability.
Sudden drops = possible outages, connectivity loss, or reduced user demand.
Session tracking provides visibility into customer usage patterns and helps in demand forecasting.

7. Consumption (Last 30 Days)
What it measures:
Shows the total daily energy (in kWh) delivered through all charging sessions over the last 30 days.
How to interpret:
Higher energy delivery = increased charger utilization and customer engagement.
Fluctuations = seasonal or behavioral usage variations, or possible operational disruptions.
This metric helps operators plan for power capacity, energy billing, and site scaling.

8. Sessions Overview (Last 30 Days)
What it measures:
Aggregated KPIs that summarize overall charging activity for the selected period.
Metric | Description |
---|---|
Total Sessions | Combined number of all sessions completed. |
Sessions per Day | Average daily session count. |
Average Duration | Typical time spent charging per session. |
Average Consumption | Average kWh consumed per session. |
Total Consumption | Overall energy delivered during the period. |
How to interpret:
These metrics provide insight into overall operational scale and efficiency.
For example, if average duration increases but energy stays constant, it may suggest slower charging speeds or user behavior changes.

9. Reboots (Last 7 Days)
What it measures:
Number of charger restarts recorded during the past week, aggregated across the network.
How to interpret:
High reboot count: Possible firmware issues, unstable power supply, or scheduled maintenance restarts.
Low or stable count: Normal operation and system stability.
Reboots are tracked to assess charger reliability and identify early signs of instability.
10. Network Issues (Last 7 Days)
What it measures:
Reports on chargers that experienced communication or connectivity problems.
How to interpret:
If this section shows “No chargers have reported network issues”, it confirms stable network communication across all devices.
When issues appear, they typically point to platform connectivity, SIM, or local network disruptions requiring investigation.
Summary
Data Insights (Company Dashboard) consolidates live operational data from the entire charging network to provide a single, reliable source of truth.
It enables operators to:
Monitor charger and site availability.
Detect issues proactively.
Track energy delivery and session activity.
Ensure a consistently high success and reliability rate.
Through real-time visibility and trend analysis, operators can maintain uptime, improve customer satisfaction, and optimize overall network performance.