B2B markets are more complex than Business-to-Customer (B2C) markets: with more actors, longer purchasing processes, larger sales volumes, and multi-layered international business relationships. Moreover, competitors are often also customers or partners. Therefore, market analysis in the Business-to-Business (B2B) context differs significantly from B2C approaches. Proven B2C methods only work to a limited extent; however, graph network visualizations in B2B market research can create added value. Graph visualization is a mathematical and computer science approach to visual representation of relationships. A graph database is similar to the human brain and is already being used by leading tech companies. Graph visualization is used in various areas of market research, e.g., in the analysis of news articles and the prediction of market indicators. Start-ups like Delphi Data Labs use this technology for market analysis in the industry. Delphi Data Labs uses graph visualization to analyze and predict the value chain and market relationships in the hydrogen sector. The solution from Delphi Data Labs enables efficient data management, linking different types of data, automated data collection, and integration as well as the creation of dynamic forecasting models.

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Visualization of Graph Networks in B2B Market Research

  • Lukas Strohmeier,
  • Miroslav Negovan

摘要

B2B markets are more complex than Business-to-Customer (B2C) markets: with more actors, longer purchasing processes, larger sales volumes, and multi-layered international business relationships. Moreover, competitors are often also customers or partners. Therefore, market analysis in the Business-to-Business (B2B) context differs significantly from B2C approaches. Proven B2C methods only work to a limited extent; however, graph network visualizations in B2B market research can create added value. Graph visualization is a mathematical and computer science approach to visual representation of relationships. A graph database is similar to the human brain and is already being used by leading tech companies. Graph visualization is used in various areas of market research, e.g., in the analysis of news articles and the prediction of market indicators. Start-ups like Delphi Data Labs use this technology for market analysis in the industry. Delphi Data Labs uses graph visualization to analyze and predict the value chain and market relationships in the hydrogen sector. The solution from Delphi Data Labs enables efficient data management, linking different types of data, automated data collection, and integration as well as the creation of dynamic forecasting models.