Graph analytics is the evaluation of information that has been organized as objects and their connections. The purpose of graph analytics is to understand how the objects relate or could relate to one another.
Businesses use graph analytics to identify influencers, decision-makers, and trends in social networks for marketing and sales efforts.
Graph analytics is utilized to detect fraudulent activities by studying interactions between different actors in transactions, identifying bad actors, and instating counteractive measures.
Graph analytics helps optimize resource allocation in computer networks, logistics companies for route optimization, and utility companies for resource consumption optimization.
Graph analytics is employed to identify money laundering activities, track illegal behavior, and detect fake accounts in financial transactions
Graph analytics can be employed to enhance marketing strategies by providing personalized recommendations based on social network analysis and customer behavior patterns.
Integrating data from various sources using graph databases can provide a comprehensive view of customer interactions and behaviors, enabling personalized marketing strategies and improved customer insights.
