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.
