Real estate organizations collectively generate tens of millions of tons of waste every year, while paying billions of dollars to have it hauled away. Despite that enormous scale and cost, most treat waste data the same way they treat the waste itself – as an operational afterthought.
Waste data is often tracked in spreadsheets, estimated from hauler invoices, and addressed only when costs spike or compliance reporting demands it. It’s fragmented across systems, vendors and functions, limiting visibility and making it difficult to connect waste to financial and operational outcomes.
Mounting regulatory pressure, evolving ESG expectations and rising cost exposure are making that status quo unsustainable.
During a recent OSCRE Innovation Forum, industry leaders explored why a robust, standards-based approach to collecting, managing and using waste data is becoming a business imperative.
Fragmented Data, Limited Visibility
Over the past decade, a majority of real estate organizations have embraced technology that gathers and analyzes data related to energy consumption, water use, space utilization and equipment performance. But many of these same companies have yet to recognize the value of waste data and manage it accordingly.
Just as they did with occupancy data a decade ago, most organizations track waste data using manual processes based on stale information, rather than timely, verifiable and scalable approaches.
This creates persistent challenges, including:
- Data gaps that make accurate reporting difficult
- Inconsistent vendor reporting across locations
- Functional silos that prevent end-to-end visibility
- Limited ability to link waste to financial outcomes
Without a unified view, even basic questions become difficult to answer: How much waste are we generating? Where is it coming from? How can we reduce it?
The Stakes Are Rising
At the same time, external pressures are intensifying. Regulatory frameworks such as Extended Producer Responsibility (EPR) are shifting the financial burden of waste management from municipalities and households back to producers. These regulations are introducing new reporting requirements and cost exposure. In some cases, organizations are facing significant unplanned costs simply because they lack visibility into packaging volumes and material flows across their supply chains.
Beyond compliance, stakeholders across the business are demanding better data:
- Finance teams need accurate cost allocation and forecasting
- Sustainability leaders require defensible ESG data for reporting
- Operations teams seek efficiency and waste reduction
- Executives want to understand total cost of ownership
In this environment, waste data is no longer just an operational metric – it’s a strategic asset. Without it, organizations face growing financial, regulatory and reputational risk.
Overcoming Organizational Disconnect
Waste is not just a facilities issue, but the result of decisions made across the entire organization.
Packaging choices, procurement strategies and logistics practices all contribute to waste generation upstream, while facilities teams are left to manage it downstream. Without shared visibility, these functions operate in silos, each with its own competing priorities.
As a result, organizations are managing the symptoms of waste rather than addressing its root causes.
Breaking this cycle requires something most organizations lack today: integrated, end-to-end data.
From Cost Center to Strategic Asset
Improving waste outcomes starts with improving data. From there, it becomes easier to replace manual, siloed processes with more integrated, data-driven approaches. At higher levels of maturity, organizations move beyond tracking waste volumes to understanding:
- What materials are being generated
- Where they originate
- How they flow through the organization
- What they cost—and what they may be worth
This shift unlocks new opportunities. With better data, organizations can:
- Identify inefficiencies in packaging and logistics
- Reduce waste at the source
- Improve compliance and reporting accuracy
In some cases, materials such as cardboard, plastics and packaging may even be monetized.
In other words, waste can move from a pure cost center to a potential contributor to business growth.
Why Standardization Is the Key
The biggest barrier to this transformation isn’t technology, it’s inconsistency. Different systems, vendors and functions define and track waste in different ways, making integration difficult and limiting the usefulness of data.
A standards-based approach addresses this by creating a common language for waste data across the organization. This includes consistent definitions for:
- Material types and waste streams
- Quantities and units of measure
- Locations and sources
- Operational and logistics data
- Financial elements, including cost and revenue
With this foundation in place, organizations can connect waste data to financial systems, sustainability reporting and operational workflows, enabling more accurate analysis and better decision-making.
Just as importantly, it allows facilities, finance, procurement and sustainability teams to finally work from the same data set.
Getting Started
For most organizations, improving waste data management doesn’t begin with advanced analytics or new systems, it begins with understanding what’s already there.
Many organizations are still working with fragmented data, manual processes and limited visibility. The first step is simply to establish a clearer picture of current state.
That may include:
- Conducting a basic waste flow analysis to understand where waste is coming from
- Identifying obvious data gaps and inconsistencies
- Establishing a consistent way to categorize key waste streams
- Reviewing and cataloguing data streams that already exist across facilities, finance and operations
These are the foundational steps that can help organizations move from guesswork toward greater clarity.
From there, organizations can begin to improve how data is integrated, standardized and used, building toward more advanced capabilities.
A Turning Point for Waste Data
Waste data management is rapidly evolving from a tactical function to a strategic necessity. As regulatory, financial and sustainability pressures continue to grow, organizations that invest in standardized, integrated waste data frameworks will be better positioned to respond and adapt.
The shift from guesswork to governance isn’t just about better reporting—it’s about enabling smarter decisions, reducing risk, and uncovering new sources of value.