Food, Beverages and Agriculture

Sustainability and ethical aspects are shaping the global eating and drinking habits.

As an intelligence & consulting provider, Delphi Data Labs is leading the way in this global transformation into a circular food economy.

Foresee new mega trends

Strategic Insights Beyond Supply Chains
We do not only help our customers to sustainably improve their supply chains or to foresee the actions of the competition. We are also helping them understand and evaluate new mega trends such as plant-based or insect proteins.

With a strong internal skillset, our specific database, called Demeter, and a huge external expert network we can offer solutions and market intelligence for all steps in the food value chain.

Strategic areas

Recurring Key Strategic Topics
Although our customers face a huge variety of different needs and challenges, the following key strategic topics are recurring among our customer base and we have developed deep expertise in tackling them.
Changing Customer Needs by the Energy Transition & Shift Towards Circular Economy
— The global energy & sustainability transition leads to new emerging sectors such as alternative proteins, Green Hydrogen or Bioplastics.

— Many of the key customers in those new segments are young companies and are not on the radar of machinery manufacturers yet.

— Delphi Data Labs helps not only  with the identification of the most  important end-customers and integrators/EPCs, we also support you in communicating the benefits of your existing products for the new sectors in an adequate way.

Delphi P2X/Hydrogen Dashboard

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How we work

Success Through Advanced Big Data Analytics
Unlike the industry standard, which relies mainly on interviews, our process is built on big data analytics. Our approach ensures highest academic research standards, and limits the negative impact of cognitive bias, which happens to occur in expert interviews. The human brain is simply not designed to correctly record and depict the nature of complex international multi-billion dollar markets.

That’s why statistical analysis of adequate data is the core of our research methodology. Nevertheless, we strongly rely on human expertise, which marks the starting & final process step in our work:
Initially, we analyze the intricacies of relationships within an industrial value chain, establishing the framework for our comprehensive research. In the second step, we populate our value chain model with data derived from diverse sources to ascertain market potential. In the third step, our data undergoes rigorous scrutiny by seasoned human experts. The ensuing integration of expert feedback leads to a refinement of our data during a secondary human feedback and approval process. This methodical approach ensures the precision and reliability of our research outcomes.
1 — Relationships
We map the relationships in an industrial value chain.
2 — Data Analysis
We fill our value chain model with data from various sources to.
3 — Human Check
Our data is challenged by human expertise.
4 — Refinement
Integration of feedback and second human validation process.
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