Tag: Data Maturity

As Environmental Product Declarations (EPDs) become critical for regulatory compliance and market access, organizations are grappling with the complexity and scale of implementation. Once optional differentiators, EPDs are now quickly becoming table stakes and serve as essential prerequisites for tenders, market entry, and stakeholder trust. In our recent masterclass, Makersite experts Robert Spang and Sophie Kieselbach explored how companies can move from manual, one-off EPD creation to a fully automated, scalable and transparent process.

EPDs Are Becoming Business-Critical – and the Clock Is Ticking

New regulations like the Ecodesign for Sustainable Products Regulation (ESPR) and the Construction Product Regulation (CPR) are mandating Life Cycle Assessment (LCA) data and transparency. With a typical implementation timeline of 2–3 years, organizations that haven’t started preparing their data foundation are already behind. Beyond legislation, demand is also rising from private procurement and customers seeking Scope 3 data – making EPDs vital for both compliance and business continuity.

The Data Problem Is Real – and Solvable

Creating an EPD today is often slowed by incomplete, inconsistent, or inaccessible data. Many companies operate with fragmented systems, proprietary silos, or Excel-based workflows. Makersite emphasized that successful EPD scaling starts with better data governance – identifying data owners, aligning on standards, and centralizing access. You don’t need perfect data to start, but you do need a plan to mature it.

Automation and AI Are Essential to Scale EPDs

Manual modeling and verification are too slow and resource-intensive to meet the volume and frequency of EPD needs. Makersite’s automated system ingests data from source systems, applies verified rule sets, and creates reproducible models and documentation. This enables companies to generate EPDs across entire portfolios – often with just a few clicks – freeing up experts to focus on design improvements rather than data wrangling.

Verification Is the Bottleneck – but It Doesn’t Have to Be

Traditional EPD verification processes are linear, manual, and not scalable. Makersite introduced a tool-verified approach that allows for reproducibility and transparency at scale. Their solution includes background documentation, automated QA/mapping reports, and lifecycle results – all designed to support a dynamic, auditable, and continuously improving EPD process, rather than static 5-year snapshots.

EPDs Can Drive More Than Compliance – They Enable Sustainable Innovation

When EPD generation is fast, reliable, and integrated into design and procurement workflows, it becomes more than a checkbox. It becomes a tool for internal feedback, better supplier collaboration, and sustainable product innovation. Makersite’s vision is clear: EPDs should inform decisions, not just report them. 

What You Can Do Now 

If you’re just starting your EPD journey or struggling to scale, now is the time to act. Begin by assessing your current data landscape – where it lives, how accessible it is, and whether it’s fit for LCA use. Engage internal stakeholders to define responsibilities and invest in building a scalable, governed data infrastructure. From there, explore automation solutions that can streamline EPD creation and verification. The good news? You don’t need perfect data to begin. With the right approach and tools, you can accelerate progress, meet regulatory demands, and turn compliance into a strategic advantage. Makersite is here to help you do exactly that. 

Understanding the Importance of LCAs at Scale 

Scaling up Life Cycle Assessments (LCAs) involves expanding their scope while ensuring they remain reliable, transparent, and verifiable. This requires a disciplined approach to maintain the integrity of LCAs as they grow in complexity. Emphasizing the importance of scaling LCAs is essential for companies aiming to achieve meaningful sustainability outcomes and enhance stakeholder trust. 

Three Foundational Pillars for Successful LCA Scale-Up 

The three pillars essential for scaling LCAs are: 

• Robust Data and Data Landscapes: Ensuring high-quality, comprehensive data is crucial for accurate assessments. 

• Consistent Methodologies: Standardizing methodologies across assessments to maintain consistency and comparability. 

• Comprehensive Documentation: Detailed documentation is necessary to provide transparency and facilitate verification processes. 

Challenges and Misconceptions 

There is a common misconception that LCAs at scale are of lower quality compared to traditional LCAs. It was clarified that while LCAs at scale may be perceived as less transparent, they can actually provide higher accuracy and representativeness. The key is to address documentation and transparency challenges effectively. 

Data Collection and Integration 

Traditional LCAs often involve manual data collection and adjustments, which can introduce errors and inconsistencies. LCAs at scale, however, use automated data collection directly from ERP and PLM systems, ensuring higher accuracy and reducing human error. This approach allows for more precise and reliable data integration. 

Modeling and Mapping 

In traditional LCAs, modeling and mapping are manual processes prone to errors and variability. LCAs at scale automate these processes, enhancing reproducibility and consistency. Automated modeling and mapping eliminate the variability and errors associated with manual data handling, leading to more accurate and reliable assessments. 

Documentation and Verification 

Documentation and verification are critical bottlenecks in scaling LCAs. Innovative approaches are needed to streamline these processes. This includes developing new standards and practices to ensure that LCAs at scale meet the required documentation and verification standards without excessive manual effort. 

Quality Assurance and Transparency 

Achieving high-quality results in LCAs at scale requires ensuring that the data and models are well-documented and transparent. This involves creating detailed quality assurance reports and maintaining consistent documentation practices. Transparency is key to building trust and credibility in the results. 

Leveraging Technology for Efficiency 

The use of technology, such as automated data integration and modeling, significantly reduces the time required for LCAs. This efficiency allows for more frequent updates and continuous improvement, which are essential for maintaining accurate and up-to-date assessments. Technology enables companies to scale their LCAs without compromising quality. 

Addressing Data Gaps 

Handling data gaps is a critical challenge in LCAs at scale. Strategies for filling these gaps include using standard components and merging data from different sources. Ensuring comprehensive and accurate assessments involves identifying and addressing data gaps effectively. 

Future Directions and Best Practices 

The future of LCAs at scale involves ongoing innovation and improvement to meet evolving sustainability goals. Emphasizing the need for best practices in documentation and verification, continuous collaboration with partners and stakeholders is essential for developing and refining these practices. 

Sustainability reporting has moved from being a niche requirement to a central element of modern corporate strategy. For many organizations, the focus on Scope 3 emissions — which account for most of their product’s carbon footprint — presents an opportunity to lead in environmental responsibility and drive innovation. Yet, most companies still rely on spend-based methodologies that provide limited accuracy and fail to capture the full picture of their impact. As stakeholders demand greater transparency and regulators implement stricter compliance measures, businesses must evolve their approach to ensure they remain relevant and resilient in a competitive landscape.
 

In a recent Makersite Masterclass, our data experts Fabian Hassel, VP of Services and Pablo Downer Päster, Principal Sustainability Engineer, provide a roadmap for organizations looking to transition away from spend-based approaches.

The session emphasized the need for robust, data-driven strategies that go beyond surface-level reporting, providing organizations with the tools and strategies needed to begin the transition.

Below are 10 key takeaways you can use to optimize your sustainability practices. By implementing these strategies, businesses can not only meet compliance requirements but also unlock long-term value in their operations.
 

Top 10 Key Takeaways

Understand the Limitations of Spend-Based Reporting

Spend-based reporting has been a common practice due to its simplicity and scalability, but it is heavy with drawbacks that limit its effectiveness in meeting modern sustainability goals. We highlighted three major weaknesses of this approach:

• Lack of Accuracy: Relying on industry averages often fails to capture the complexity and uniqueness of individual supply chains.

• Overlooked Factors: Key variables, such as material choices, product design, supplier energy sources and production efficiencies, are ignored.

• Regulatory Risks: Increasingly stringent regulations demand more product level granularity and transparency, making spend-based methodologies insufficient. 

To keep up with global standards, businesses must transition to data-driven methods that go beyond high-level estimates.

The Power of Granular Data in Scope 3 Reporting

Accurate, granular data is a necessity for sustainability reporting. Transitioning from general estimates to detailed, material-specific information allows businesses to make better decarbonization decisions and take targeted actions.

Granular data provides:

• Material-Level Insights: A clear understanding of the impact of each material in the supply chain.

• Product-Specific Assessments: Precise measurements of emissions tied to specific products.

• Supplier Data Integration: A more accurate and strategic approach to managing supplier emissions.   

This actionable level of detail equips businesses to develop proactive sustainability strategies rather than merely meeting reporting requirements.

Digital Twins as a Game-Changer

Digital twins are virtual data models that replicate real-world products, processes, and supply chains. We emphasized their transformative potential for Scope 3 reporting.

Digital twins enable companies to: 

• Simulate scenarios to evaluate sustainability interventions.  

• Identify “hotspots” of emissions in supply chains to focus on reduction strategies.  

• Foster greater collaboration among procurement, research, and engineering teams to align sustainability goals.  

For example, a manufacturer of complex systems like wind turbines could use digital twins to visualize emissions across thousands of components and adapt processes accordingly.

Navigate Transition Challenges 

Moving beyond spend-based reporting is rewarding, but it isn’t without challenges. As we identified the most common roadblocks and how to address them: 

• Data Gaps: Ensuring suppliers provide accurate and comprehensive data.

• Integration Barriers: Streamlining fragmented data systems into a unified platform.

• Cost and Complexity: Investing in advanced tools and frameworks for long-term gains. 

Despite these obstacles, high-impact organizations have successfully overcome these barriers with meticulous planning and the right tools.

Industry-Specific Insights for Scope 3 Reporting

Different industries face unique challenges and opportunities in Scope 3 reporting.

Here are some examples discussed in the masterclass: 

• Automotive: High supply chain complexity coupled with strict emissions regulations.

• Electronics: Significant impacts from raw materials requiring circular practices.

• Heavy Machinery: Long product life cycles and complex components necessitate precise data collection.  

Tailoring reporting strategies to industry-specific needs is essential for achieving both accuracy and actionable insights.

Preparing for a Shifting Regulatory Landscape

Regulations like the EU Corporate Sustainability Reporting Directive (CSRD) and SEC climate disclosure requirements demand unprecedented levels of transparency. We emphasize that companies need to: 

• Build traceable and robust supply chain mechanisms.  

• Adopt methodologies that exceed regulatory expectations to ensure long-term compliance and readiness for future standards. 

Organizations that begin adapting now will gain a head start over competitors once these regulations are fully enforced.

Advanced Master Material’s Approach to Scope 3 Reporting

To achieve your Scope 3 reporting goals, the importance of integrating an AI or tech tool to simplify and assist in the transition to more accurate Scope 3 reporting.

What you should look for in a tech tool to help you achieve your goals in Scope 3 Reporting:

• Automated Data Integration: Seamless integration with ERP and PLM systems consolidates disparate data sources.  

• Material and Supplier-Specific Modeling: Detailed emissions data to guide informed decision-making.

• Collaboration Tools: Enables real-time engagement between cross-functional teams, such as procurement and sustainability managers.

By addressing key challenges of data granularity and system integration, you should look for a tool that supports businesses in meeting their sustainability goals effectively.

Turning Scope 3 Reporting into a Competitive Advantage

Far from being a regulatory burden, Scope 3 reporting can be a strategic opportunity.

We highlight its potential to drive business growth by: 

• Market Differentiation: Establishing leadership as a sustainable brand.  

• Data-Driven Innovation: Creating better products informed by actionable insights.

• Supply Chain Resilience: Building transparency to adapt to disruptions and mitigate risks.  

Forward-thinking companies are leveraging Scope 3 as a catalyst for innovation and lasting competitive advantage.

Real-World Scenarios

We discussed  two different global manufacturing companies we worked with faced the common challenge of inconsistent and missing Scope 3 data, which led to inefficiencies in their product design and cost analysis.

The solution involved:

• Enhanced Precision: Transitioned from generalized spend-based estimates to precise, material-level reporting, empowering data-driven decisions.

• Cost Efficiency: Identified inefficiencies and optimized procurement strategies, driving measurable savings and sustainable growth.

• Compliance Assurance: Secured full regulatory readiness, ensuring confidence and adherence to the highest industry standards.

For a deeper dive into our success stories click here.

Actionable Steps to Get Started   

If your organization is ready to evolve beyond spend-based Scope 3 reporting, here are four practical steps to take today:  

• Assess Your Current Process: Identify gaps and areas for improvement in your current reporting practices.

• Engage Stakeholders: Collaborate across departments—procurement, sustainability, engineering—to align goals and define data needs.  

• Adopt Advanced Tools: Leverage advanced data management and integration tools, specifically, sustainability or environmental focused reporting platforms for accurate data integration and emissions modeling.

• Pilot and Scale: Launch pilot projects to refine methodologies before scaling them across the organization.

Unlock the Full Potential of Scope 3 Reporting  

Accurate Scope 3 reporting is more than just a regulatory requirement—it’s a pathway to innovation, efficiency, and sustainable growth. Companies willing to embrace advanced methodologies and tools will not only meet compliance standards but also position themselves as leaders in a rapidly evolving market. 

By taking incremental steps, businesses can gradually transition to more advanced reporting practices without overwhelming existing systems. 

Curious to learn more about overcoming the Scope 3 Reporting challenges?

Click here to meet with a Makersite team member.