Data

Waste Management Pivot Table 📊

Ricardo Méndez Escobar · February 20, 2026 · 1 min read

We know that waste reporting can be… a waste of time 😅.

That’s why we’ve built a dynamic pivot table that lets you cross-reference, filter, and visualize your waste management data with total flexibility.

Feel always ready with your data

📈 Configure it once, exploit when you want 📥 What you see is what you get → Download to Excel exactly as shown in the table. 🤝 Share with zero friction → Send the file ready for audits or reports. ⚡ Always up to date → Connected to your records in real time.

Compliant with: ISO 14001 · CSRD · EcoVadis · Internal reporting

It’s already available in your account. Prepare the visualisation in your **project and share the results!. **What used to take hours is now just a couple of clicks. 🚀

Let us know how you get on, we’d love to hear your feedback so we can keep improving 🙂

Frequently asked questions (FAQs)

What waste data should companies organize to support ISO 14001 and sustainability reporting?

Organize waste streams, quantities, units, dates, facilities, treatment or disposal routes, contractors, hazardous-waste classifications, and supporting records. Linking each entry to its site and source makes it easier to monitor operational controls for ISO 14001, answer customer or EcoVadis requests, and reuse the same data in sustainability reporting.

Product UpdateData

See any metric as a percentage in your visualizations

Comparing consumptions, emissions, expenses or identifying hotspots is easier than ever!

Da a cada rol exactamente el acceso que necesita

Los roles ahora se pueden limitar a empresas participadas, centros y categorías personalizadas específicas -no solo categorías Dcycle-, para que los

Give roles exactly the access they need

Roles can now be scoped to specific investees, facilities, and custom categories - not just Dcycle categories - so admins can grant exactly the access a

30-minute demo

See it with your own data.

Thirty minutes with our team. We show you how your data would come in, and what you would get out.

See Dcycle in action

No commitment
With your data
In your language

What your session looks like

01 You tell us what you’re being asked forCustomers, auditors or banks: what data and by when. 0–5 min
02 We show how your data comes inInvoices, ERP, suppliers: on an example close to yours. 5–20 min
03 You leave with a planWhat to automate first and how much time you save. 20–30 min