Entity Analytics

Entity Analytics is a method used to identify, categorize, and link data about entities—such as people, places, or things—from different sources and databases. It’s like putting together a complex social network where you figure out who knows who or what is connected to what. In business intelligence, entity analytics helps companies understand relationships and patterns involving their customers, products, and operations by ensuring that each entity is unique and by tracking its interactions over time.

For example, entity analytics can reveal that two customer accounts in a database actually belong to the same person, or it can help a business see how different products are related based on customer purchase behaviors. This technique involves data cleaning, matching, linking, and identifying non-obvious relationships within data, which is crucial for providing a comprehensive view of the entity in question.

Entity analytics is powerful for businesses because it can improve customer relationship management, enhance fraud detection, and enable personalized marketing. By creating a unified view of each entity from scattered data points, organizations can get deeper insights on their interactions with customers and make smarter operational decisions. It’s about turning data from various silhouettes into a clear, connected portrait.