The Hidden Cost of Poor Quality Waste Data 

Your sustainability team has targets to meet. Regulators want proof. Investors ask questions. But when you sit down to pull together your waste reporting, you know the data’s messy.

Poor quality waste data costs more than time. It undermines your reporting credibility and stops you from identifying where real improvements could happen. With stronger assurance requirements coming into force, the scrutiny and expectations are set to grow.

Five waste data issues that make reporting difficult

1. Every data source uses a different format

Your waste and recycling contractors use different systems. One sends PDFs, another uses spreadsheets.  A third provides handwritten notes. Each data packet requires manual interpretation before you can start working with it.

Your team spends hours reformatting spreadsheets instead of analysing them. Every manual step adds another chance for error.

2. Some sites track everything, others track almost nothing

Some of your contractors record specific waste streams and where they go. Others give you rough weight estimates for “general waste” and that’s it.

You can’t compare sites or spot where improvements would help most. You can’t manage what you are not measuring consistently.

3. You don’t know where your waste goes

Your contractor’s invoice says “recycling.” But what does that mean? Which facility took the material? What happened to it there? Was it processed, or did it end up in landfill after contamination was found?

This is the question that keeps coming up: “What happens to my waste?” To meet assurance rules you’ll need to verify the final fate of materials, not just accept what contractors tell you.

4. Some waste never makes it into your records

Waste collected through informal arrangements or local contractors may not get recorded. The one-off collections, the ad-hoc arrangements can by-pass your official process.

That gap between what waste you think you’re generating and what’s actually happening creates compliance risk. You’re making decisions based on incomplete information.

5. Data arrives when it arrives

Your reporting deadline is fixed. Your contractors’ schedules aren’t. Some send data promptly. Others take weeks. By the time you’ve got everything, there’s no time to check it properly.

You end up accepting whatever shows up, just to meet the deadline.

Why this matters more now

These data problems used to be frustrating but manageable. Sustainability teams put together reports that were good enough for basic disclosure.

That’s changing.

Increasingly, operations teams, auditors and investors expect from waste data what they expect from financial statements.

Your waste reporting will need to be:

  • Verifiable – Backed by documentation that proves what happened to materials
  • Complete – Capturing all waste across all operations, not just the easy-to-track streams
  • Consistent – Using standardised methods that allow comparison across time and sites
  • Accurate – Free from the errors that manual data handling inevitably introduces

If your data can’t meet these standards, here’s what happens:

Your sustainability report gets qualified – Auditors flag data quality issues, which damages trust in all your sustainability claims.

You pay for extra audit work – Multiple rounds of back-and-forth as auditors ask for documentation you struggle to find.

You miss improvement opportunities – Without reliable data, you can’t see where waste reduction would actually make a difference.

Your team burns out – Months spent chasing data problems instead of doing the work they signed up for.

From ragged to reliable data: what better looks like

There’s a fundamental difference between “ragged” waste data and “reliable” waste data.

Ragged data tells you something happened, for example, X percent of your waste was recycled. It’s summary information that raises more questions than it answers.

Reliable data tells you the full story: what materials, from which specific locations, collected by which contractor, transported to which facility, and processed using which method with what final outcome.

Reliable data includes:

  • Transaction-level detail – Individual waste movements, not monthly summaries
  • Material specifics – Precise waste streams, not broad categories
  • Verified destinations – Actual facility locations and operator licenses, not contractor claims
  • Processing outcomes – What actually happened to materials, validated against facility capabilities

The difference matters. With ragged data, you’re reporting what contractors told you. With reliable data, you’re reporting what you can prove.

Where to start

You don’t need to rebuild everything overnight. Here’s where to focus:

Map what you’re actually getting – Write down what data arrives, from where, in what format, with what level of detail. You need to see the problem clearly first.

Find your riskiest gaps – Which sites or contractors give you the thinnest data? Where are you most vulnerable if an auditor asks questions? Start there.

Check key waste streams – For your biggest or most scrutinised waste types, verify that what contractors claim matches what facilities and regulators say.

Create one standard format – Contractors will keep sending varied data. Build a single structure that everything gets translated into.

Allow time for proper collection – Stop accepting rushed data. Adjust your timeline so there’s space to gather and check information properly.

You’re not aiming for perfection. You’re aiming for data you can trust when someone asks to see the evidence.

Get help with your waste data

Resordinate’s WasteMap® Data Pipeline addresses all these challenges.  It collects and standardises waste data from all your contractors, validates where materials are going, and delivers insights that meet assurance standards. The result: data you can trust when reporting to stakeholders, plus practical visibility into cost savings, efficiency gains, and progress toward your waste reduction goals.