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6. How does embedding sustainability data early in product design or procurement change the economics of packaging decisions? Having that data up front enables you to match sustainability requirements with the economics of scale – making intelligent choices about supply chain partners, packaging design, and more. Our recent partnership with HowGood is a great example of what this can look like. HowGood runs the world’ s largest food product sustainability database, measuring more than 90,000 agricultural emission factors and offering detailed impact assessments covering emissions, water use, biodiversity, labor risk, and land use.
We’ ve integrated HowGood’ s extensive agricultural datasets with our AI-powered data management systems. Informatica then provided trusted, mastered data to HowGood, which then enriched it with comprehensive sustainability metrics. By embedding sustainability data into procurement and product management workflows, food firms can improve transparency, optimize decisionmaking processes and make genuine, measurable progress toward decarbonization and sustainability goals.
7. Informatica works with vast, complex datasets. What’ s the one lesson food and beverage companies can borrow from other industries on scaling sustainability data? I think it’ s that point about building a good data foundation across your whole organization – seeing effective data management as just part and parcel of what it means to be a well-functioning business, not an imposed, fringe issue. From that viewpoint, scaling sustainability data becomes part of a wider drive to improve the organization’ s insight into everything from sales figures to staff wellbeing. What we can learn from other industries is how to pilot agentic AI use-cases in low-risk business
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