By Juliana Penagos Nigrinis, Lidia Morcillo & Clara Solé – MODACC
Turning information into impact
Across industries, many companies are proving that data can be a powerful tool for sustainability. By using data strategically, businesses are optimising their resources, reducing waste, and aligning profitability with environmental responsibility.
Take, for example, fashion SMEs that use predictive analytics to anticipate consumer demand. This allows them to reduce overproduction, align stock with real needs, and lower the carbon footprint of their collections. Others are tracking energy use and emissions throughout their value chains, identifying where they can cut greenhouse gas emissions while saving costs.
Additionally, data-driven monitoring systems now allow brands to trace their materials and production processes in real time, making supply chains more transparent and accountable. This not only improves compliance and consumer trust but also helps identify inefficiencies that can be reduced or eliminated.
These are not isolated success stories, they reflect a growing trend: data is becoming a key enabler for sustainable business models.
Collaboration as a driver for innovation
For small and medium-sized enterprises, adopting advanced technologies can seem daunting. But collaboration with small companies and tech innovators can be a strategic way to start.
Small businesses often offer agile, tailor-made solutions that integrate easily into existing structures. This flexibility allows SMEs to pilot projects quickly, test technologies, and scale what works without the weight of rigid infrastructures.
Collaboration opens the door to co-creation and co-growth, highly needed in the fashion industry, by enabling the identification of shared challenges which can lead to impactful shared solutions. Together, SMEs and innovators can accelerate change across the entire ecosystem.
Less is more: collecting the right data
In a world where data is abundant, more isn’t always better. SMEs should collect only the data they can actually process, analyze, and use to improve performance.
This means defining clear objectives, training teams, and establishing effective monitoring mechanisms. Data should act as an investment that optimizes the business, not a cost that slows it down. A focused strategy helps avoid drowning in information and ensures that insights are translated into real, measurable action.
Everything has an impact – and so does technology
It’s important to remember that digital tools have their own environmental footprint. The energy consumed by data centres and the carbon impact of digital infrastructures should not be overlooked. Using technology consciously and efficiently means choosing tools that are not only powerful but also aligned with your sustainability goals. When used wisely, data analytics can support the economic viability of environmentally and socially responsible businesses—while reminding us that sometimes the best strategy is to produce better and less, consume slower and longer.
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Final thoughts
Data analytics is not just a tool—it’s a strategic asset for building sustainable, resilient, and future-ready business models. For SMEs, this transformation doesn’t have to be overwhelming. Start small, collaborate smart, identify key players in your ecosystem, and get involved.
Are you already using data to optimize your sustainable business model? Do you have a success story you would like to share? Let’s learn from each other and build collective knowledge for a more sustainable future.