Value Chain Analytics

Our value chain database is designed to provide businesses with a comprehensive analysis of the value chain in their industry. We believe that understanding the value chain is key to identifying opportunities for growth, improving operational efficiency, and increasing profitability.

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The H2 Value Chain Model

The Delphi H2 Value Chain Model assigns thousands of companies to its relevant offerings in the green hydrogen value chain. By using this model component manufacturers are able to efficiently and effectively identify potential customers and make informed decisions about which companies to approach.

By providing a comprehensive database of suppliers and analyzing performance data, businesses can make informed decisions about which suppliers to work with, reducing the risk of making poor supplier selection decisions. The use of datas cience techniques ensures that the analysis is systematic and objective, providing businesses with the information they need to make informed decisions.

Why Delphi?

The developmentof a value-chain database in the field of mechanical engineering requires a significant amount of time due to the complexity of the projects, which often involve multiple levels of suppliers and sub-suppliers. These projects are typically quite large in scope and require the coordination of a large number of stakeholders.

Our team of experts utilizes a data-driven approach to value chain analysis, using advanced analytical tools and techniques to identify and map out the various stages of the value chain. We examine everything from suppliers to end-users, identifying where value is created and lost at each stage. By gaining a deeper understanding of the value chain, businesses can identify opportunities for optimization and growth. Our insights can help you make informed decisions about where to invest resources, whether it's in R&D, marketing, or operations.

Our value chain database is designed to be flexible and scalable, meaning that we can tailor our approach to meet the specific needs of your business. Whether you're a small startup or a large multinational corporation, we have the tools and expertise to help you gain a deeper understanding of your industry's value chain.

At Delphi Data Labs, we're committed to delivering exceptional value to our clients. Our value chain database is just one example of how we're helping businesses stay ahead of the competition and achieve their business goals.

Comprehensive Analysis

Our team of experts will provide you with a thorough analysis of your industry's value chain, helping you identify where value is created and lost at each stage.

Data-driven approach

Our value chain analysis is based on advanced analytical tools and techniques, ensuring that our insights are grounded in data and are actionable.

Identify growth opportunities

By gaining a deeper understanding of your industry's value chain, we can help you identify opportunities for growth and optimization, helping you stay ahead of the competition.

Informed decision-making

Our insights can help you make informed decisions about where to invest resources, whether it's in R&D, marketing, or operations.

Trailored to your needs

We'll work with you to develop a customized approach to value chain analysis that meets the specific needs of your business.

Experienced team

Our team of experts has years of experience in value chain analysis, and we're committed to delivering exceptional value to our clients.

Scalable solutions

Our value chain database is designed to be scalable, meaning that we can tailor our approach to meet the specific needs of your business.

Competitive advantage

By working with Delphi Data Labs, you'll gain a competitive advantage in your industry, allowing you to stay ahead of the competition and achieve your business goals.

Delphi Hydrogen Dashboard

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How we work

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:

At first we map and understand the relationships in an industrial value chain to set the frame for our research. In the second step, we fill our value chain model with data from various sources to determine the market potential. In the next step of the process, our data is challenged by human expertise. We then integrate the feedback and adjust our data in a second human feedback & approval process.

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