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.

Continously Expanding

Our steadily growing market data model “Okeanos"
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

Market Size & Outlook

Competitive Landscape

Product Portfolio

Technology & Patent Landscape

Key Success Factors

Customer Relations

Financial Ratios

Why Delphi?

Unparalleled Insights and Expertise
Mergers and acquisitions (M&A) are critical within the business landscape due to their profound impact on organizational strategies, market dynamics, and overall industry evolution.

This strategic activity plays a crucial role in shaping the competitive landscape, fostering innovation, and driving economic growth.
Delphi Data Labs - Market Research
Industry Experience
Managed and oversaw the execution of various corporate mergers and acquisitions projects.
Delphi Data Labs - Market Research
Market Data
Best in class market data encompassing millions of companies within our comprehensive databases.
Delphi Data Labs - Market Research
Proven Experts
Our expert advisory team, including industry leaders, top strategists, and skilled data scientists, offers unparalleled insights.

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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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