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All You Need To Do About The New EU Batteries Regulation

Overview

After 18 February 2027, every EV, LMT, and industrial battery in the EU will be dead on arrival without a digital battery passport. That’s the main change brought by the new EU Batteries Regulation, which entered into force on 17 August 2023. Battery producers who fail to comply might see a revenue drop. While there’s still time to avoid this financial risk, you’ve got to act right now. Doing it on your own could be overwhelming, so we’ve outlined a series of steps you should take to ensure compliance.

1.   Drop Last-Min Compliance Mindset

Get your battery digital passport ready sooner rather than later. This is not a mere compliance exercise. An early adoption of this tool will give you a competitive edge. Based on the study conducted by the Battery Pass consortium, a digital passport could reduce the need for technical tests, thus driving down procurement costs for independent operators by up to 10%. Furthermore, thanks to the improved recycling rate (up to 2%), the battery e-passport will reduce pre-processing and post-treatment expenses for recyclers by up to 20%. To add to that, better recycling implies a lower amount of primary materials used. This then translates into up to 1300 kt of CO2eq that could be saved annually by 2045.

On the other hand, a compliance delay could seriously hurt your business. That’s what happened to Meta, which was fined €1.2 billion by the Irish Data Protection Commission for transferring EU users’ personal data to the US without meeting GDPR requirements.

2.   Engage Your Suppliers

Let’s put it bluntly. If you don’t have supply chain data, your battery passport won’t get stamped. That’s why it’s paramount to liaise with your suppliers. Reach out to them and shed light on how this regulation will affect their business. Explain to them the benefits of sharing data as this will increase trust. Building a partnership around transparency is also critical to draft the due diligence policies for the sourcing of critical raw materials which are required by the regulation.

3.   Implement An Efficient Data Management System

Creating and managing a battery digital passport means collecting an enormous amount of data from multiple sources. And that’s the hardest job nobody is prepared for. Nobody, except specialised companies like Makersite. We leverage an AI-enabled technology that lets you automatically consolidate all your information into a centralized platform in no time.

Our system also allows you to perform a lifecycle analysis (LCA) to have an accurate estimate of your battery’s carbon footprint, which is one of the passport’s key attributes. However, don’t expect an accurate LCA if you don’t feed accurate data to the system. That means you should gather detailed information on raw material, energy & water consumption, and waste production associated with each stage of the product’s life cycle.

Moreover, make sure to tap into a supply chain mapping feature to assess your supplier practice and spot inefficiencies. That’s what Makersite has done for an international cosmetic company. Combining an automated multi-tier mapping of their value chain with AI-powered suggestions, we allowed them to achieve a more sustainable and cost-effective sourcing in less time. Our case study shows how value chain diligence can flip from a cost center into a margin protector.

4.   Governance

AI won’t solve all your problems. You need to invest in human resources as well. For instance, it might be wise to rely on software experts who can help you understand your data to make more informed decisions.

Another useful strategy would be to appoint internal compliance personnel or create cross-functional taskforces (R&D, supply chain, legal) if not already in place. Additionally, it would be helpful to implement robust supply chain audit and reporting processes to promote transparency.

Is Your Battery Affected By The Regulation?

This rule applies to the following types of batteries:

  • portable batteries;
  • starting, lighting and ignition batteries (SLI batteries);
  • light means of transport batteries (LMT batteries);
  • electric vehicle (EV) batteries and industrial batteries;
  • batteries that are incorporated or designed to be incorporated into or added to products.

The Battery Passport

The regulation’s key implication is the attachment of an electronic record, a.k.a. battery passport, to each LMT battery, each industrial battery with a capacity greater than 2 kWh and each EV battery. Manufacturers should have the battery passport ready by 18 February 2027.

What Information Should The Passport Contain?

As reported in the Appendix, the information contained in the battery digital passport are classified according to who should access it.

Technical & Operational Obligations For Manufacturers

Besides collecting a lot of credible data and storing it for 10 years, when compiling a battery passport manufacturers will also have to meet a series of technical and operational requirements.

  • Due diligence: Manufacturers must adopt and communicate due diligence policies for the supply of critical raw materials (i.e., cobalt, natural graphite, lithium, nickel) and its associated risks. These policies should be in line with internationally recognized standards such as the OECD Due Diligence Guidelines and the UN Guiding Principles on Business and Human Rights.
  • QR Code: This is the unique identifier that manufacturers will have to attribute to each of their batteries to ensure access to the digital passport. The QR code should respect the guidelines of ISO/IEC Standard 18004:2015.
  • Interoperability: The battery passport will have to be interoperable with other digital passports required by the EU (e.g., the Digital Product Passport (DPP) introduced by the Ecodesign for Sustainable Products Regulation (ESPR)). All information should be based on open standards and transferable through an open interoperable data exchange network.
  • Data Access: Manufacturers should have a data system allowing them to attribute different types of access rights as per the Regulation (see also Appendix).

Regulation Uncertainties

After going through the EU Batteries Regulation, some grey areas remain. First of all, some level of confusion still lies on access rights. The rule leaves it to the EU Commission to elucidate this aspect through the issue of implementing acts. These secondary legislations should clarify which stakeholders (e.g. persons with legitimate interest, third-party organisations, etc.) are entitled to access which datasets.

The Commission will have to publish other acts to give further guidance on the following too:

  • methodologies for calculating carbon footprint;
  • minimum values for electrochemical performance;
  • share of recycled content for non-critical battery materials;
  • harmonised formats for data reporting (e.g., real-time or static information?) and labelling.

Finally, while the regulation says that the digital passport should be interoperable with other similar EU frameworks (e.g., DPP), it doesn’t mention anything on non-EU systems. This could pose a double reporting issue for global manufacturers.

What Should You Do Now To Prepare?

Aside from familiarising with the EU Battery Regulation, manufacturers can go beyond that by checking out the DIN-DKE SPEC 99100. Based on the Battery Passport Content Guidance, this document provides battery producers with more details and recommendations on each data attribute to embed in the digital passport.

Conclusions

Complying with the EU Batteries Regulation will require way more than plugging any data into any AI tool. To begin with, gathering good data about your battery implies engaging suppliers and finding out as many details as possible on critical and other raw materials. Moreover, data interpretation can be a time-consuming task without expert oversight. Although AI can help speed things up, you still need human validation to assure data integrity. Manufacturers who master high-quality product data now will cut costs, avoid double reporting, and be first to market. That’s the advantage Makersite is building for its customers.

Appendix

Still Some Doubts? Let’s Clarify Them

What Happens If My Company Isn’t Ready For The EU Battery Passport By February 2027?

Without a valid passport, affected batteries can’t be sold in the EU. That means blocked market access, potential fines, and losing out to competitors who prepared early. The biggest bottleneck is neither the QR code nor the reporting templates — it’s the supply chain and lifecycle data that companies often don’t have in usable form.

👉 This is where Makersite helps: consolidating supplier and product data into a live, compliant passport.

Isn’t The Battery Passport Just A Compliance Exercise?

No. The regulation is designed to push transparency and sustainability across the value chain. Companies that treat it only as a compliance task will incur costs; instead, companies that use the passport as a data backbone can reduce procurement costs, cut CO₂, and strengthen supplier resilience.

👉 Makersite turns compliance data into a business advantage by linking it to cost, carbon, and risk models.

How Is The Battery Passport Different From The Digital Product Passport (DPP)?

The battery passport is the first sector-specific implementation of the EU’s broader push for DPPs. Both share the same goal: live, interoperable product data. If you solve for the battery passport correctly, you’ll be positioned for future DPP rollouts across other product categories.

👉 Makersite’s platform is built for both — future-proofing your compliance investments.

What Type Of Data Is Hardest To Gather For The Passport?

Supply chain data on critical raw materials, recycled content, and carbon footprint. Most manufacturers don’t have visibility past Tier 1 suppliers, making this the single biggest challenge.

👉 Makersite uses AI + supply chain mapping to fill gaps, validate supplier inputs, and model missing data.

Why Can’t We Just Wait Until The EU Clarifies The Regulation’s Grey Areas?

Because building the data infrastructure and supplier collaboration needed for a passport takes years. If you wait for the EU’s secondary acts, you’ll stay behind.

👉 Makersite allows you to start building compliant passports today, while staying adaptable to regulatory updates.

How Can AI Be Used To Map Supply Chains Or Enrich Missing Data For The Battery Passport?

AI can accelerate the mapping of multi-tier supply chains by consolidating information from public databases, supplier disclosures, and proprietary datasets. It can also enrich missing attributes (such as carbon footprint or recycled content) by benchmarking against process- and material-specific models.

But AI is only as good as the data and expertise behind it. For compliance-grade outputs, AI must be trained on high-quality supply chain data and guided by experts who understand materials, processes, and regulatory standards. Large Language Models (LLMs) aren’t suitable here — this is about structured, verifiable data that stands up to audits.

👉 Makersite combines AI-driven automation with expert-validated data and robust databases, ensuring your battery passport is accurate, compliant, and defensible.

From Data to Impact: Scaling Sustainability Across Manufacturing Enterprises

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The Hard Truth: Reporting Doesn’t Change Anything

Most manufacturers are drowning in spreadsheets and annual reports, but emissions don’t drop from reporting alone. The real bottleneck isn’t ambition. It’s data that’s too coarse to change real decisions. In our most recent webinar, partnered with NAEM, “From Data to Impact: Scaling Sustainability Across Manufacturing Enterprises” our experts stressed a simple reality: spend-based estimates might check a compliance box, but they will never redesign a product, reshape a supply chain, or win you a tender.

Key Takeaways

  • Activity-based data is essential. Our experts emphasized that bill of materials (BOM)-level data enables manufacturers to move beyond spend-based estimates and into actionable Scope 3.1 reporting.
  • A laddered approach to data quality. Start where you are: BOM-based modeling when available, weight or average factors when necessary, and spend-based methods only as a last resort.
  • Collaboration is non-negotiable. Procurement, engineering, and sustainability functions must be aligned if product sustainability data is to influence real business decisions.
  • Digital twins enable scale. By linking product, supply chain, and impact data, organizations can automate LCAs, close supplier data gaps, and create portfolio-wide transparency.

The Data Ladder: How to Climb Out of Spend-Based Guesswork

Most organizations are not constrained by a lack of data but by the wrong type of data. Scope 3.1 requires product-specific, activity-based data to enable meaningful action. Without it, sustainability reporting risks becoming an exercise in compliance rather than a driver of competitive advantage. Our experts underscored that to create impact, sustainability insights must flow into design and sourcing decisions, not remain trapped in reporting cycles.

A Practical Data Ladder for Scaling Sustainability Data

  1. BOM-based (preferred): Map the bill of materials, normalize material and process categories, and apply life cycle inventory factors. This is the most actionable level for design and sourcing decisions.
  2. Average/mass-based (backup): When full BOM data is unavailable, use product weight and representative averages to approximate impacts.
  3. Spend-based (fallback): Leverage spend data multiplied by EEIO factors only when no other information exists. This approach should be replaced progressively with activity-based data.

This ladder allows organizations to begin modeling with the data at hand and gradually refine accuracy through supplier engagement and primary data collection.

The point? Start now, climb steadily. Don’t let “perfect data” be the excuse for doing nothing.

The Barriers Manufacturers Face

Scaling sustainability isn’t straightforward. Common challenges include:

  • Data silos across PLM, ERP, and compliance systems.
  • Incomplete product records, such as missing weights or coatings.
  • Rapid change in engineering and sourcing, which often outpaces traditional LCA cycles.
  • Competing priorities across teams, with procurement focused on cost, engineering on manufacturability, and sustainability on reporting deadlines.

Breaking the Silos: From Sustainability Reports to Product Decisions

ERP and PLM systems were built to optimize cost and risk—not sustainability. The result? Fragmented records, incomplete supplier info, and teams working in isolation. The solution made clear: scaling sustainability demands a single source of product truth that procurement, engineers, and sustainability teams can all access and act on.

To overcome these barriers, our experts recommend a repeatable operating model:

  1. Normalizing product records by harmonizing BOMs, applying default assumptions, and defining a single source of truth for material attributes.
  2. Building an LCA-at-scale service via digital twins that connect cost, compliance, and footprint data, keeping models current as designs change.
  3. Prioritizing supplier engagement based on material impact, focusing requests for primary data where it matters most.

Embedding sustainability into workflows so that footprints are considered alongside cost and lead time in procurement events, design reviews, and customer disclosures.

Data Quality Isn’t the Excuse

Yes, your data is messy. Everyone’s data is messy. But the myth that you must “fix data first” before scaling sustainability is paralyzing progress. As our experts highlighted, you can achieve more than you think—even with imperfect data. The maturity curve proves it: novices wrestle spreadsheets, intermediates integrate flows, and advanced players run centralized master data governance. The winners don’t wait—they build maturity as they go.

What Success Looks Like

Signals that sustainability has scaled include:

  • Broad coverage of up to 80% revenue/SKUs using activity-based methods.
  • Automated impact updates tied to BOM or supplier changes.
  • Sustainability metrics integrated into sourcing and design decision gates.
  • Clear supplier mix shifts toward lower-carbon options, informed by quantified trade-offs.

Real-World Win: Microsoft – 28% Footprint Reduction on Surface Pro

Microsoft’s Surface team discovered that manual LCA processes were outdated, slow, and riddled with generic data.

By automating through Makersite, they:

  • Cut LCA effort from months to minutes.
  • Increased accuracy from 20% primary data to 70%.
  • Freed 80% of resources to focus on reductions instead of reporting.
  • Achieved a 28% footprint reduction on the Surface Pro.

The lesson: Automation doesn’t just accelerate reporting—it creates the space to design real carbon reductions.

Read the Full Case Study

Real-World Win: FLS – Tackling Massive Complexity

FLS, a global mining equipment leader, faced customer demand for timely LCA data that far outpaced their manual capacity. Their products involve thousands of BOM lines and hundreds of tons of material.

With Makersite, they:

  • Scaled LCAs across complex, customized portfolios.
  • Embedded carbon transparency into tenders and sales.
  • Gained actionable insights to drive supplier and material decisions.

FLS turned sustainability into a competitive edge—not a reporting chore.

Read the Full Case Study

So, What Should You Do?

  • Run a pilot, not a POC. Prove scale, accuracy, and speed on real SKUs or sites—not toy examples.
  • Get cross-functional buy-in. Procurement, sales, and engineering must see the business value, or sustainability stays underfunded.
  • Pick a partner you trust. The sustainability software space is still the Wild West. Don’t just buy tools—find people who deliver.

Addressing Common Pushbacks

  • “We don’t have the data.” Use the ladder—begin with what is available and improve over time. Hybrid approaches are both recognized and effective.
  • “LCAs take too long.” With a connected digital twin, models update automatically, reducing time to insight.
  • “Scope 3 is just reporting.” When tied to product and sourcing decisions, Scope 3 becomes a lever for both emissions reduction and margin growth.

Still Skeptical? Let’s Address the Hard Questions

  • “We already have a sustainability team handling this.”
    Good—but if their insights never reach procurement or design, you’re leaving value on the table. Scaling means wiring their work directly into product and supplier decisions, not confining it to reports.
  • “We’re not ready for a new tool or vendor.”
    You don’t need another silo—you need a connected digital twin that feeds your existing PLM, ERP, and sourcing systems. The right partner integrates with what you have and accelerates ROI.
  • “We don’t have good enough data to act.”
    No one starts with perfect data. The key is the ladder approach: use what you have, improve as you go, and replace assumptions with primary data over time.
  • “This all sounds too complex.”
    Automating LCAs across thousands of BOM lines for heavy mining equipment is complex, but it can be done. Complexity is exactly why scalable automation exists.
  • “Scope 3 is just reporting.”
    Reporting alone doesn’t change outcomes. But when Scope 3 metrics drive sourcing, design, and tender decisions, they become a lever for cost savings, margin growth, and differentiation.

Closing Thought

Our experts’ message was clear: sustainability at scale isn’t about “more reports.” It’s about hardwiring footprint into product and supplier decisions. That’s the difference between reporting carbon and actually reducing it.

Product Sustainability Isn’t a Cost. It’s the Fastest Path to Margin Growth

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What You’re Missing From The Decarbonisation Picture

During a masterclass called “Decarbonize by Design: How Product Sustainability Fuels Business Growth”, Neil D’Souza, CEO of Makersite, interviewed David Linich, Sustainability Principal at PwC US. Digging into PwC’s “State of Decarbonisation” study, this white paper debunks the myth of sustainability being just a costly and painful exercise. 

Unlike what is reported by the media, firms are making some real progress in carbon emissions reduction and are also profiting from it. Moreover, product data is playing a key role in turning decarbonisation from a risk into a business opportunity.

The Unexpected Truth: What the Data Actually Shows

  • Sustainability is shifting from a reporting obligation to a core driver of business value;
  • Scope 3 emissions are more valuable than your CFO thinks;
  • Product data is worth up to 25% revenue upside.

Everyone Thinks Sustainability Is Dead. 4,000+ Companies Say Otherwise

News headlines often report companies pulling back on sustainability commitments or net zero targets. Yet, PwC tells a different story. In its “State of Decarbonization” study, the firm surveyed 4,163 companies to assess their climate commitments and progress towards them. 

Contrary to the common narrative, PwC found out that 37% of surveyed companies are increasing their climate ambitions. Only 16% of respondents are dialing their commitments back, half of which are merely recalibrating timelines to achieve their carbon reduction targets. This just shows a more realistic approach rather than a lower climate responsibility. Furthermore, PwC reported a ninefold increase in the number of companies that have set decarbonisation goals over the last 5 years.

Another major finding was that products marketed with sustainability attributes led to up to a 25% revenue upside. This could be due to different factors such as applying price premium to low-carbon goods vs carbon-intensive products, sales increase driven by consumers’ trust, or new selling schemes (refurbishment, takeback).

“So this moves from, hey let’s report because there’s a lot of scrutiny on this topic to okay, what can we do to drive business, and I think that’s a fundamental change.” Neil D’Souza, CEO of Makersite

The Hidden Revenue Engine Lurking in Your Scope 3

Scope 3 emissions are the elephant in the decarbonisation room for any company. For this reason, their reporting could feel overwhelming. According to PwC, only 54% of companies are on track to reduce their Scope 3 carbon footprint. However, this figure would change if the remaining 46% of surveyed firms appreciated the financial advantages of tackling their value chain emissions. Scope 3 emissions include energy, fuel, waste and other elements that carry a cost attached to them. Therefore, driving them down will unlock margin opportunities. 

Among companies pursuing Scope 3 targets, PwC observed a trend in disclosing more categories, thus indicating an improvement in carbon accounting capabilities. For instance, enterprises are learning how to measure use-phase emissions (category 11). Besides being hard-to-decarbonise, this category significantly contributes to the climate footprint of organisations across different industry sectors. On the other hand, when it comes to another heavy-carbon category such as purchased goods and services, PwC’s research shows that most companies engage suppliers at a very basic level. The lack of a high-level supplier engagement is another indicator of companies missing out on Scope 3-related business opportunities. To capitalise on these, organisations should invest in segmentation, co-innovating, incentives schemes, etc.

“I take that one of the big drivers for Scope 3 decarbonization is counterintuitively not saving the planet but revenue and margin growth. And I think this is a good thing because when I started in this career my boss told me our job is to make the most sustainable products in the world that can be made.” Neil D’Souza, CEO of Makersite

Why Product Data Is Your Newest Profit Lever

Scope 3 emissions have always been seen as an accounting nightmare because they’re beyond an organisation’s control. Nevertheless, companies do have control over their product design. The latter influences the raw materials used to make a product and therefore who supplies those materials. In other words, there’s a direct link between product design and Scope 3 carbon emissions.

Harnessing intelligent tools, firms can identify carbon hotspots and inefficiencies along their product value chain. This translates into lower emissions and costs. On top of that, gathering accurate product data allows firms to build powerful assets such as life cycle assessments (LCAs) and environmental product declarations (EPDs). Accordingly, organisations can support their climate-friendly claims without incurring any greenwashing risk, thus retaining their customer base and attracting new clients.

“As we looked at the levers that companies were pulling to drive down scope 3 emissions, I thought we were going to see the most predominant one being something like supplier collaboration. But it turns out the number one lever is product sustainability.” David Linich, Sustainability Principal at PwC US

Your Data Isn’t Broken – Your Org Is

Missing decarbonisation targets is not the only source of headache for sustainability leaders. Limiting margin compression from tariffs is probably the main focus of any organisation at the moment. This obviously can affect priorities in terms of supplier choice. Not to mention the series of conflicting regulations to comply with such as extended producer responsibility (EPR), REACH, RoHs, and so on. Being able to factor all these in is paramount to make sustainability profitable. As suggested by PwC, the only way to achieve this is to have a strong tech and data foundation.

A key issue raised by PwC is that a lot of companies are using a skunk approach to product sustainability. Specifically, product data lives in silos across engineering, procurement, compliance, and sustainability teams. This forces companies to walk a tightrope, with decisions made in the dark. Fixing this requires centralising product and supply chain data as well as enabling real-time collaboration between functions. To overcome these challenges, firms could harness a platform like Makersite that merge all data into one place. Additionally, this AI-enabled tool lets companies fully understand their data, thus ensuring an optimal decision-making process.

“A typical company that I talk to is telling me the majority of their top customers are reaching out to them and asking for sustainability-related data and are encouraging them to set targets and to make more progress.” David Linich, Sustainability Principal at PwC US

Why Manual LCA Will Kill Your Climate Strategy

As mentioned earlier, conducting an LCA can add business value to your decarbonisation strategy. Nonetheless, if it’s done manually, this exercise can be time-consuming as it involves the collection of an enormous amount of data. This is particularly true for large enterprises managing thousands of stock keeping units (SKUs). That’s where a digital twin can make a huge difference. Tapping into this technology, organisations can perform real-time analysis on multiple product versions in minutes vs months, thus overcoming the LCA’s scalability bottleneck.

Barco case study

Barco, a global tech, was spending lots of time and money reporting SKU-level environmental data as these were siloed and scattered across their supply chain. To address this challenge, Barco tapped into Makersite’s automated Life Cycle Analysis (LCA) and Product Environmental Footprints (PEFs). Thanks to these smart tools, Barco could consolidate their data as well as filling any information gaps. Besides complying with EU taxonomy reporting requirements, the company implemented more targeted eco-design principles across their product portfolio. This led to the achievement of a third-party validated carbon neutral label.

“To calculate products’ carbon footprint without full material declarations, you could create parametric models. But unfortunately there’s nobody else that’s doing this besides Makersite, so it’s a very hard thing to do and we build specific AI models to be able to do this.” Neil D’Souza, CEO of Makersite

What To Do On Monday: Your Action Plan

Here’s a roadmap you can refer to for reaping the benefits of decarbonisation.

  1. Build your climate governance.
  2. Change your capital allocation:
    1. embed an internal cost of carbon into your budgeting;
    2. ring-fence CAPEX for the initiatives needed to achieve your net-zero targets.
  3. Engage your stakeholders more effectively.
  4. Embrace product-level sustainability: as outlined above, this is the profitable frontier of decarbonisation. Fixing your product data isn’t just good practice. It’s an easy way to leverage new revenue streams, boost value chain resilience, and future-proof operations.

“You need to have the business case, you need to evangelize it, and then you need to repeat the process as you continue. If you don’t have your business case in place and you don’t have a strategy of how you’re going to implement it, nothing ever happens.” Neil D’Souza, CEO of Makersite.

Still Skeptical? Let’s Address the Hard Questions

How Do You Calculate Product Carbon Footprint Without Full Material Declarations?

It’s unlikely to get all the data you need from your suppliers. However, starting from the data you have, you can leverage AI-enhanced digital twin models. For products like cement and metals, these will give you an accurate estimate of their carbon footprint.

Is There A Set Of Rules To Follow When Dealing With Ecodesign Checklists And Standards?

There are a lot of choices and assumptions to make when conducting an LCA, therefore the top rule is to be consistent in the way you measure your product’s environmental impact across your portfolio.

How Can You Move From Words To Facts?

Rather than pursuing skunk projects, connect your teams and align their efforts with your customers needs and expectations.

On-Demand Decarbonize by Design: How Product Sustainability Fuels Business Growth

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Masterclass Key Takeaways

Despite headlines hinting at a “sustainability slowdown,” the data tells a very different, but encouraging story. In our recent masterclass with PwC’s David Linich and Makersite CEO Neil D’Souza, we dug into the real business levers behind climate action and decarbonization. Spoiler alert: they’re not just about ESG scores. They’re about growth, resilience, and bottom-line performance.

Sustainability isn’t dead. It’s maturing

PwC’s latest State of Decarbonization study found that more companies are increasing their climate ambitions than pulling back—37% of companies are stepping up their goals, compared to just 16% dialing them down. Many of those lowering targets are simply recalibrating early, overly ambitious goals to reflect more realistic roadmaps. In just five years, there’s been a 9x increase in companies setting emissions reduction targets.

 

Scope 3 is the new frontier—and the biggest opportunity

Progress on Scope 1 and 2 is real, but Scope 3 remains the largest untapped lever. Why? It’s tough to tackle, but it’s also where most value chain emissions, and business value, live. Most enterprises still rank low in supplier engagement maturity. That’s where tools like product carbon footprinting and collaborative design come in.

Product sustainability drives growth. Literally. 

Sustainable products deliver measurable ROI. PwC found that companies marketing products with sustainability attributes are seeing a 6–25% revenue uplift, through price premiums, increased purchase intent, and entirely new revenue streams like circular business models. Double claims, “durable + PFAS-free”, are particularly powerful, boosting purchase intent by up to 30%.

The business case isn’t one-and-done. It’s a drumbeat

One of the biggest blockers? Failing to make (and maintain) the business case. Leaders need to advocate for decarbonization like they would any core investment, with a repeatable story, clear ROI, and alignment to strategic priorities. Capital allocation is key. Leading companies are ring fencing budgets for decarbonization or applying internal carbon prices to support longer-term investments.  

Digital product twins are redefining what’s possible

Legacy LCA methods don’t scale, but scalable, AI-driven platforms can. With digital twins, manufacturers can simulate cost, carbon, risk, and compliance trade-offs in real-time across entire product portfolios, not just pilot SKUs. The shift: From once-a-year compliance reports to daily design decisions.

Circularity is suddenly more economical

Thanks to tariffs, raw material volatility, and shifting customer preferences, circular business models that didn’t pencil out before are now financially viable. But unlocking that value requires scenario planning and data orchestration at scale. From reuse to take-back programs, sustainability and margin of growth are finally aligning.  

Why it Matters

Product sustainability is becoming a top priority for both sales teams and engineers, and for good reason. According to PwC, by 2030, over one-third of global company revenues will come from climate-focused solutions—think lightweight products, alternative fuels, and circular business models for B2B and consumers. It’s clear: meaningful climate action and business growth now go hand in hand.

What You Can Do on Monday

If you’re not ready to overhaul your entire product sustainability strategy (yet), start here:

  • Assess your product sustainability maturity: Take stock of your cross-functional coordination, LCA capabilities, and supplier engagement efforts. Understand your current baseline and identify where to improve. 
  • Build (and sustain) the business case: Clarify how product sustainability directly supports revenue, margin, and compliance goals. Revisit it often to maintain leadership support and investment. 
  • Explore design levers for Scope 3: Pinpoint where your product and sourcing choices influence emissions and cost. Focus efforts where they’ll yield both carbon reduction and commercial value. 
  • Equip Sales & Marketing with the right tools: Provide clear, credible messaging and ROI calculators to help teams communicate sustainability claims effectively, especially in B2B contexts. 
  • Pilot scalable digital tools: Trial digital twins or rapid LCA platforms on a small product set to evaluate speed, cost, and business insight potential before scaling up. 

Take Action

Watch the full masterclass and download PwC’s State of Decarbonization report for sector insights, value chain strategies, and practical playbooks.

Need help scaling your product sustainability efforts? Makersite’s experts are ready to help.

Quantifying Circularity: A Data-Driven Approach to Chip Lifecycle Emissions

Turning Vision into Action: Advancing Circular Manufacturing

To open this masterclass, Gruber and Dillman presented a bold perspective on circular economy strategies, using a case study that compared the environmental and economic impacts of reusable and linear semiconductor chip designs. With sustainability leaders from companies like Amazon, IKEA, and Cisco in attendance, the discussion emphasized integrated, data-driven decision-making as a critical enabler for meeting today’s sustainability standards.

Contrasting scenarios included:

  • A linear model, where the chip is manufactured, used, and discarded.
  • A circular model, where the chip is recovered, re-balled, and reused.

The circular model demonstrated slightly higher emissions for the reprocessing step (2.36 kg CO₂e vs. 1.94 kg CO₂e for linear disposal), but by extending the lifetime of the initial chip in the circular model, where the linear would now be replaced by a new chip (1.94 x 2 = 3.88 kg CO₂e) the benefits of the circular approach is shown. By eliminating the need to manufacture new chips for future production cycles, the circular process reduces total, system-wide emissions while also drastically minimizing raw material extraction, water usage, and land use. 

Circular manufacturing offers a transformative solution for reducing environmental impact and building long-term economic resilience. Forward-thinking companies like Jabil are already operationalizing these principles, turning what was once considered waste into valuable resources through systematic recovery and reuse programs that can also deliver significant cost savings.

Gruber and Dillman’s data-driven example underscores how this model can cut resource consumption, support compliance with evolving sustainability regulations, and drive progress toward a fully circular economy. Businesses adopting these strategies position themselves as sustainability leaders, strengthening their operations against resource scarcity and climate challenges. By embracing circular innovation, companies unlock a powerful pathway to sustainable growth and competitive advantage.

“Circularity isn’t just about recycling—it’s about smarter design, sourcing, and evaluating trade-offs,” said Dillman. “To close the loop, we must assess impacts beyond carbon.”

Designing for Circularity: Key Insights from the Session

Key takeaways included:
  • Sustainability Requires System Thinking: Achieving a circular economy demands cross-functional collaboration across design, procurement, logistics, and recovery. A unified data foundation is critical to driving these efforts effectively.
  • Data-Driven Decisions Over Assumptions: The circular chip example scenario underscores the importance of high-fidelity modeling in evaluating circular strategies. Circular initiatives often lack granular emissions and cost data, making it difficult to assess trade-offs or justify actions internally. Digital tools that enable engineers and sustainability teams to quantify carbon impacts and material costs at the component level provide the analytical rigor needed to support data-backed circularity decisions.
  • Leadership Focuses on Actionable Insights: The strong participation of executives and senior managers in the session underscores growing C-level commitment to sustainable innovation and responsible driven business models.
  • Scalable Platforms Are the New Standard: Fragmented tools fall short in today’s complex landscape, creating new data silos and preventing transparency. Forward-thinking sustainability leaders are turning to scalable platforms and digital tools to seamlessly integrate sustainability, cost efficiency, and product compliance into their operations.

Driving Circularity with Actionable Product Intelligence

As manufacturers push toward circular economy goals, decision-makers are increasingly turning to digital tools that provide high-resolution insights across the product lifecycle. These platforms are enabling sustainability, procurement, and design teams to move beyond assumptions by modeling the environmental and economic implications of circular strategies in real time.

By bringing together lifecycle data, cost metrics, and supply chain considerations, these tools support:

  • Comparative analysis of linear vs. circular models
  • Identification of trade-offs across environmental categories
  • Alignment across teams through shared, data-driven insight.

In a rapidly shifting regulatory and market landscape, the ability to simulate design choices at scale — grounded in real-world data — is essential. Organizations that invest in this type of intelligence aren’t just improving products; they’re reshaping how sustainability is operationalized across the enterprise.

Turning Circular Strategies into Scalable Impact

For manufacturers, achieving sustainability success requires integrating data-driven insights and lifecycle thinking into design and procurement processes. This approach empowers teams to scale effective strategies such as reducing product carbon footprints, ensuring regulatory compliance, and driving operational efficiencies. With data and cross-functional alignment at the core, circularity evolves from a lofty goal to a measurable competitive advantage, positioning businesses as leaders in innovation and sustainability.

On-Demand Masterclass: Riding The EPD Wave

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Masterclass Key Takeaways

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. 

On-Demand Masterclass: Trusting LCAs at Scale

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Top 10 Key Takeaways

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. 

On-Demand Masterclass: How to Evolve Beyond Spend-Based Scope 3 Reporting

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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.

 

 

 

 

 

On-Demand Masterclass: Solving Sustainability Data Challenges

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In a rapidly evolving business landscape, managing sustainability data has become a critical challenge for industries worldwide. During our recent masterclass, Solving Sustainability Data Challenges, Makersite’s data experts Sophie Kieselbach and Niclas Rabel explored the hurdles organizations face in aligning their sustainability efforts with robust data practices.

From understanding different maturity levels across industries to tackling common data management obstacles, this session provided actionable insights to help businesses enhance their sustainability journeys. Below are 10 key takeaways from the masterclass that can guide companies in improving their sustainability data practices and integrating them into long-term strategies. 

10 Key Takeaways 

Sustainability Maturity Levels Across Industries 

By using data gathered through our Maturity Index submissions the data experts analysed and presented how various industries are at different stages in their sustainability journeys. They were categorized into three maturity levels:  

  • Novice (76.06%): This group comprised industries like automotive (19.72%) and consumer durable goods (23.94%) that are just beginning to integrate sustainability efforts. They are largely unaware of their entire value chain and tend to have limited visibility into sustainability data beyond Tier 1 suppliers.  
  • Intermediate (19.72%): These industries have started to address sustainability but are still in transition. Automotive and building materials make up a portion of this group, where data integration is underway, but decision-making is hindered by inconsistent and siloed data.  
  • Advanced (4.23%): These are the most mature companies in terms of sustainability data, often found in consumer packaged goods. They have harmonized data and an end-to-end view of their supply chain, allowing them to make informed decisions and leverage sustainability as a profit driver.  

These maturity levels indicate that most companies are still in the early phases, struggling with integrating sustainability into core business processes.

To find out where you sit on the maturity ladder and how you compare to companies similar to yours fill out our Maturity Index.

  

Data Challenges  

These are some of the most common challenges businesses face when managing sustainability data:  

  • Internal Awareness Gaps: Many companies are partially aware of their internal data but lack insight into the entire value chain. This creates blind spots beyond Tier 1 suppliers and disrupts accurate decision-making.  
  • Supply Chain Visibility: Limited data visibility can lead to delayed decisions, supply chain disruptions, and missed regulatory requirements.  
  • Data Silos: Inconsistent and siloed data across departments (product development, procurement, etc.) makes it harder to drive sustainability initiatives. The inability to share and integrate data from different sources prevents a holistic view of sustainability impacts.  

The goal here is to shift from fragmented, inconsistent data management to a fully integrated, transparent data landscape that supports sustainability efforts across the entire supply chain.  

   

Sourcing Challenges  

Sourcing data for sustainability presents several key issues:  

  • Data Accessibility: Difficulty in accessing data due to proprietary restrictions and varying data quality standards from suppliers.  
  • Missing Descriptions: Purchased parts often lack proper descriptions, leading to inefficiencies in understanding their sustainability impacts.  
  • Integration Complexity: The complexity of integrating internal databases with third-party providers and IoT devices can lead to fragmented data management systems.  
  • Inaccuracy and Inconsistency: Manual data entry errors, outdated information, and inconsistent data formats further exacerbate the problem. Companies often find that the same data point varies across different systems, making it difficult to trust the data.  

Addressing these sourcing challenges requires robust data integration tools and governance frameworks that standardize the collection and storage of data.  

   

Real-World Scenario

We discussed a real-world scenario where a company we worked with faced the common challenge of inconsistent and missing data, which led to inefficiencies in their product design and cost analysis. The solution involved:  

  • Data Governance Framework: Implementing a data governance framework to harmonize data from various ERP (Enterprise Resource Planning) and PLM (Product Lifecycle Management) systems.  
  • Enhanced Data Quality: Improving data quality through integration tools helped the company make better decisions, reduce costs, and design more sustainable products.  

The use case emphasizes the importance of unified data governance to overcome fragmented data systems, highlighting the role of tools like Makersite in ensuring smooth integration and accuracy of data. 

For a deeper dive into our success stories click here.

   

Data Management  

Systematic data management is a vital ingredient for a successful business, it includes organizing, storing, and maintaining data. Three core benefits are:  

  • Driving Business Decisions: High-quality data enables businesses to make informed and timely decisions, especially regarding sustainability.  
  • Enhancing Operational Efficiency: Proper data management reduces errors and inconsistencies, leading to streamlined operations.
  • Fostering Innovation: Accurate data supports research, product development, and innovation, particularly in creating sustainable products.  

There is often a high cost of poor data quality. For instance, Gartner estimated that poor data quality costs businesses $12.8 million annually, and 95% of organizations acknowledge its negative impact on business performance.  

 

Competitive Advantage  

Prioritizing data quality and management gives companies a competitive edge. We looked at how with accurate and comprehensive data, businesses can:  

  • Stay Ahead: Beat the competition by enabling better decision-making, efficient resource allocation, and long-term planning.  
  • Consolidate Data: Understanding their data landscape empowers businesses to consolidate information across departments, leading to more integrated and effective sustainability strategies.  
  • Enable Planning: Accurate data allows for stable long-term planning, which is crucial for efficient resource allocation and maintaining a competitive advantage.  

By focusing on data quality, companies not only comply with regulations but also turn sustainability into a key driver of profit and innovation.  

   

Best Practices for Data Management  

These are some of the best practices to ensure high-quality data governance:  

  • Clear Policies: Developing and enforcing data management policies to maintain data integrity across systems.  
  • Training and Awareness: Conducting training sessions and raising awareness about the importance of data governance within the organization. This helps foster a culture of responsibility for data quality.  
  • Continuous Improvement: Monitoring data maturity and striving for continuous improvement, such as through regular data audits, validation, and cleansing processes.  
  • Integration Tools: Using advanced data management and integration tools to standardize and simplify data handling.  

These practices ensure that businesses can maintain high-quality, accurate data, which is essential for driving sustainability efforts and making informed decisions.  

   

Before You Begin

It is necessary to initiate engagement with both internal experts and external stakeholders to address data challenges from the very beginning. Key actions would include:  

  • Data Workshops: Conducting workshops to align on data requirements, sources, and quality expectations early in the project lifecycle.  
  • Collaborative Approach: Ensuring close collaboration with stakeholders to resolve data issues promptly.  
  • Proactive Data Quality Maintenance: Identifying and addressing data quality issues before they escalate, and involving the right stakeholders, such as sustainability experts, from the start.  

Early engagement and alignment on data management practices ensure a smoother, more efficient sustainability data integration process.  

 

Preparation is Key

To prepare for successful sustainability data management you should first focus on:  

  • Data Discovery: Starting with a thorough review of the company’s existing data, its sources, and stakeholders involved.  
  • Pilot Projects: Running a pilot or Proof of Concept (POC) project to test the integration of the source data into the system, which helps prepare for a full rollout.  
  • Workshops and Feedback: Conducting detailed workshops with IT teams to identify all data points, receive feedback, and suggest improvements. Data enrichment processes ensure the data is ready for system integration.  
  • ETL Process: The Extract, Transform, Load (ETL) process connects raw data from various sources to the system. After user training and acceptance testing, the project can go live.  

By focusing on data quality and system readiness early on, companies can achieve smooth integration and reliable sustainability outcomes.  

   

Actions You Can Take Now

Throughout the Masterclass our data experts emphasized the need for a robust data strategy. These are some of the key action points to kick of a successful data strategy:  

  • Data Awareness: Understand the organization’s system landscape and ensure data completeness and accuracy.  
  • Leadership Involvement: Prioritize data governance and quality, with leadership setting the tone for an organization-wide focus on data integrity.  
  • Regular Audits: Perform regular data audits and implement validation processes to maintain data quality.  
  • Employee Education: Train employees on the importance of data quality and management, which is crucial for long-term success.  
  • Advanced Tools: Leverage advanced data management and integration tools to stay ahead of data governance challenges.

Sustainability data challenges can hinder a company’s ability to make informed decisions, drive innovation, and stay competitive. By addressing these challenges with structured data management strategies, clear governance frameworks, and continuous improvement efforts, businesses can unlock new opportunities.   

Prioritizing data quality not only supports sustainability goals but also positions companies for long-term success and profitability.

Want more information on how to overcome the sustainability data problem? Read our playbook on that and more now.

Solving the Scope 3 challenge

Makersite CEO Neil D’Souza recently sat down with The Scope 3 Podcast’s Tom Idle and Oliver Hurrey to discuss the key supply chain challenges facing organizations today – and how Makersite can help to solve them. You can listen to the full episode below or using the link here.

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Five key takeaways on product sustainability and scope 3

The real impact comes from products

It might sound simple, but when it comes to Scope 3 we need to take things back to the source. As Neil notes, “100 % of the impact that we see in the world today comes from the products we make and use. If you really think about it, whether you’re a service company and you’re flying around, well, it’s the plane that’s creating the impact, right? If you’re on your desk, then it’s the laptop and the electricity you use to run it.”

Just reporting isn’t enough. If you truly want to fix something and resolve the problem of the impact that’s being created, then you need to do your homework and properly understand the implications of designing a product in a certain way – from the raw materials you use to where you source them from to the end of life of that product.

Sustainability isn’t about ‘being green’

It’s all very well for a company to want to flex its green credentials. But if you want to properly affect the product you make, then you need to go deeper. “Out of 250 odd projects that I’ve worked on,” Neil says, “there is not a single project that was implemented just because it was green.”

So what is it about? Business is about making trade-offs. It’s about asking yourself the right questions. “What will I get if I were to reduce its impact by 30%? What will I get in terms of, ‘will I be able to sell more in more jurisdictions?’ Would it address a different market? What would be the cost implication of it? Would I still be able to sell it given compliance problems that I may have? Would it still be safe?”

The design must be separated from the implication or the understanding of the implication.

Facilitating the demand for better products

Now more than ever, manufacturers in a variety of markets are facing an increasing pressure to make better, more sustainable products. But not only is there a greater demand from consumers and stakeholders for this approach – there’s also a greater propensity to pay higher premiums for better design.

However, these markets (from building and construction to automotive to chemicals) generally have very complex supply chains and products, and traditional tools and traditional approaches can’t solve the hurdles they need to overcome in order to meet those demands.

Makersite powers the systems used by the people (from engineers to procurement) in organizations who can make the difference – the CAD tools, the PLM tools, the ERP tools, the procurement tools.

With that help, they can ensure that the product that is being designed follows the rules of the region in which they’re trying to sell it.

2030 is too soon

Many companies have positioned ambitious Scope 3 and Net Zero targets for 2030. But, says Neil, that’s not giving anyone enough time. “In reality, if you think of this from an engineering standpoint, an average technical product takes five to seven years to go to market. 2030 is six, seven years away. You’ll be able to make one product change. That’s about it. There’s not a lot you can do with one product iteration.”

For Makersite, it’s about the bigger picture. The longer term. And it’s about stopping the same mistakes being made over and over again: “What we want to do is every iteration from now until 2050, every iteration of every product that is new, that is innovative runs through Makersite. If we do that, then we’re not making the mistakes that we’ve continuously made over time.”

The tools we have now are smart – but not smart enough

In order to properly service the market and the demand from consumers, the tools we have now need to be refined. They are good, but they could be better.

Neil D’Souza: “The first is engineering tools. Engineering tools need to become smarter in order that we make the right decisions during design. The second is procurement tools. Procurement tools themselves also need to become smarter. We need to be able to not just quantify what are the impacts of the products that we’re buying, but identify where are the low carbon products that we can buy. And the connection of these two tools is important for that to happen.”

Ultimately, if organizations want to decarbonize, then they must provide their procurement teams with the flexibility to look at the market for low carbon solutions, as well as the level of information to not buy the wrong thing. This is a connection that can only happen when you connect product development tools with procurement tools.

With that, there will then be an understanding of the material constraints and the production constraints that you need to have to make that product successfully.