Confidential case Construction ~100 employees 6–8 weeks delivery

Fleet data that was already there — finally made visible

A construction company translated its existing fleet data into business context for the first time — with €100–200k annual impact on utilisation and operations.

By Oliver Bührer | February 2026

€100–200k

estimated annual savings

100%

data-driven decisions

Decision basis

Gut feel

Before

Data-based

After

Summary

Raw data turned into decisions

A mid-sized construction company of ~100 people had been running a fleet monitoring tool for years. The data was there, but nobody was analysing it in business context.

In 6–8 weeks, SimplifieD built a comprehensive analysis layer that connected the existing fleet data to business outcomes. Relationships that were invisible before now directly shape operational decisions.

The challenge

Four problems with unused data

Data without context

The fleet monitoring tool showed positions — but not what that meant for utilisation or efficiency.

Built-in reports too generic

The standard reports didn’t answer the specific business questions this company had.

Hidden patterns

The insights that would actually have changed operational decisions stayed buried in raw data.

Gut-feel decisions

Operational experience instead of data analysis. Optimisation potential unknown — because it wasn’t measured.

The solution

How the fleet analytics work

Starts with the right business questions

Not “what data do you have?” — but “what questions do you need to answer?” Worked out together with leadership.

Links raw data to business context

Isolated fields are prepared, cleaned and joined — that’s when actionable metrics emerge.

Makes patterns visible at a glance

Tailored visualisations — from the big picture down to individual vehicles and time windows.

The results

Before vs. after

Metric	Before	After
Use of data	Showing positions, no analysis	Translated into business context
Fleet utilisation	Gut feel, no overview	Measurable, visible, improvable
Patterns and trends	Hidden in raw data	Visible at a glance
Decision basis	Experience and intuition	Data-driven, fact-based
Internal processes	Optimisation potential unknown	Levers identified
Time to insight	Days to weeks	Immediate, in real time

6–8 weeks

Project duration

€100–200k

estimated annual impact

“We always had the data. But only after the analysis did we see what was actually in it. Things came up we would never have seen — and they directly changed how we make decisions today.”

— Managing Director, Construction