Graph databases can be used by companies to leverage business relationships and obtain new customers. Many companies struggle to gain insights from their customer relationship management (CRM) systems, but graph databases can help make this data more accessible. By using graph databases, companies can navigate complex business leader social networks to find new opportunities for sales and marketing. The company Kantwert has developed a European business and decision-maker network, which includes all companies and people within those companies, allowing them to show how these groups are interlinked and dependent on each other. This data is used to provide insights into the effectiveness of sales activities and to identify potential fraud patterns. Kantwert uses Neo4j as its graph database, combined with Cassandra for fast write operations and Apache Solr for searching personal and company data. The company has landed major clients such as Deutsche Bank and Commerzbank by providing them with valuable insights from their network data. Graph databases offer a new perspective on the same data, allowing companies to find new opportunities and gain a competitive edge in the market.