For many years companies have relied on relational databases for day-to-day operations and financial transactions. Competitor360® competitive intelligence as a service builds on a strong relational foundation through extensions into graph-relational, document, and vector database systems.

Knowledge engineering today means working with knowledge graphs. Companies, products, and consumers represent entities or nodes in a knowledge graph. Entities have relationships, which comprise links or edges in the knowledge graph.

Knowledge engineering today means working with documents and text data, employing sophisticated search across inverted indices and vector embeddings.

Building a client’s knowledge graph begins with information from surveys and online sources, but it does not end there. Using methods from marketing research, economic analysis, and graph data science, we draw inferences about marketplace entities and their relationships.

With state-of-the-art algorithms for knowledge graph completion, we explore complex relationships across markets. Insights emerge from the knowledge graph and contribute to our understanding of the competitive landscape.

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