Delphi Data Labs - Unlock Your Markets
Delphi Data Labs

M&A Target Screening

We trust in Big Data to solve the M&A challenges of the future. Our unique methodology allows us to deep dive into the required market segment & identify the most suitable acquisition targets within a couple of days.  

Our research banks on our steadily growing market data model “Okeanos”, which integrates millions of data points from the macro- and micro level.
Why Delphi?
Delphi Data Labs - Industry Experience
Industry Experience
Managed multiple corporate M&A projects.
Delphi Data Labs - No Outsourcing
Market Data
Best in class market data through millions of companies featured in our databases.
Delphi Data Labs - Data-Science
Proven Experts
Our advisory team consists of proven industry experts, top class strategists and is powered by the skills of our data science department.
Continously Expanding
Our research banks on our steadily growing market data model “Okeanos”, which integrates millions of data points from the macro- and micro level.

We mirror the data on the relevant value chain model to derive a detailed market analysis & outlook and create a long list of relevant targets. From there on we rely on our skills and experience to find the most suitable companies. Taking into account the following aspects, we create the final short list:
  • Our Customer's Strategy
  • Technology & Patent Landscape
  • Market Size & Outlook
  • Key Success Factors
  • Competitive Landscape
  • Customer Relations
  • Product Portfolio
  • Financial Ratios
  • Product Portfolio
Industrial Market Knowledge

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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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