Power BI · Maintenance planning

Planning battery replacements with Power BI

An interactive Power BI report that helps operations teams review battery life, compare consumption with historical averages, inspect individual devices and plan maintenance by location.

Analytics

Open full-screen report

Live interactive report

Asset-levelserial-number visibility

Forecastremaining battery life

Historyactual vs average use

Mapgeographic distribution

Interactive report

Explore the Power BI dashboard

Use the report below to explore remaining lifetime, consumption versus average, battery level and the map. The report is published from Power BI and may take a few seconds to load.

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The problem

What needed to change

Battery replacement becomes reactive when battery life, consumption, device identity and location are reviewed separately. The team needs one place to find devices that may require attention and understand why.

My approach

How I approached it

I organized the report around the maintenance decision. Users can start with remaining life, compare recent consumption with the historical average, locate the device and then inspect its trend in more detail.

System flow

How the pieces connect

01Device history
02Clean analytical model
03Lifecycle measures
04Forecast signals
05Interactive report
06Maintenance decision

What I built

What is included

Remaining-lifetime and consumption indicators for monitored assets.
Historical versus projected battery-performance views.
Serial-number detail for tracing the dashboard back to an individual device.
Geographic distribution for maintenance planning.
Interactive filtering and hover detail for deeper investigation.

Key decisions

Choices that shaped the project

Start with the maintenance question

The report starts with remaining life and unusual consumption, then adds the trend and location context needed to plan the work.

Keep every device traceable

Summary patterns stay connected to serial-number detail so a user can move from an overall signal to a specific monitor.

Show history and projection clearly

Actual and projected performance are presented as distinct signals to avoid implying that estimates are observed facts.

Result

What I delivered

The report gives the maintenance team a practical way to find low-life devices, understand consumption patterns and plan replacement before a failure.

Next improvement

What I would do next

I would publish a simplified data model, selected DAX measures, forecast validation notes and a short walkthrough of one maintenance decision.

Tools and methods

Power BIDAXData modelingForecastingGeospatial analysis

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