Graph Analytics

Graph analytics involves analyzing data structured as graphs, which are collections of nodes (entities) and edges (relationships). This approach helps uncover patterns, connections, and insights within complex networks, such as social media connections, transportation systems, or biological interactions. By using graph analytics, businesses can understand customer behavior, optimize routes, detect fraud, and identify key influencers within networks. Essentially, it allows for a deeper understanding of relationships and dynamics in interconnected data, providing valuable insights for decision-making and strategy development.