Hidden patterns in their own data, uncovered
A regional waste management company used focused ERP data analytics to surface business-critical insights — patterns that would never have stood out without the analysis.
By Gabriel Michelberger | December 2025
€15–30k
estimated annual savings
100%
data-driven analysis
Analytics
Manual
Before
Automated
After
ERP data that finally talks
The company is a regional waste management operator with 30–40 employees. The ERP held extensive disposal data — but hardly anything was being analysed. The data was there, the insights weren’t.
In just 2–4 weeks, SimplifieD Solutions delivered a focused analytics and visualisation layer. Relationships that weren’t accessible before became visible — with direct impact on decisions.
Four problems with unused ERP data
Recording, not analysing
The ERP captured orders, volumes and clients reliably — but analysed none of it.
No trend overview
No view of trajectories. No link between material flows and financial metrics.
Hidden anomalies
Patterns and relationships stayed undiscovered because nobody looked at the data systematically.
Decisions without data
Leadership steered on experience and day-to-day pressure — without looking at their own numbers.
How the analytics work
Defines the right business questions
Worked out together with leadership: which questions can the disposal data actually answer? Where is the biggest lever?
Translates ERP raw data into business context
Relevant fields extracted, cleaned, joined, and turned into business KPIs — new connections emerge.
Makes anomalies visible instantly
Interactive visualisations show trends, relationships and outliers at a glance — without having to dig through spreadsheets.
Before vs. after
| Metric | Before | After |
|---|---|---|
| Use of data | ERP records, no analysis | Translated into business context |
| Disposal data | Isolated in ERP tables | Joined, contextualised, visualised |
| Anomalies | Undiscovered | Visible and actionable |
| Trends | Invisible | Easy to follow at a glance |
| Decision basis | Experience and day-to-day pressure | Data-driven, fact-based |
| Time to insight | Practically zero | Immediate |
2–4 weeks
Project duration
Immediate
new insights available
“We’re sitting on a mountain of data and never really looked at it. Now we’re seeing things we had no idea were there — and it’s changing how we run the business.”
— Management
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