How Entity-Resolved Data Dramatically Improves Analytics by Marc Shichman.
From the post:
In my last two blog posts, I’ve written about how Novetta Entity Analytics resolves entity data from multiple sources and formats, and why its speed and scalability are so important when analyzing large volumes of data. Today I’m going to discuss how analysts can achieve much better results than ever before by utilizing entity-resolved data in analytics applications.
When data from all available sources is combined and entities are resolved, individual records about a real-world entity’s transactions, actions, behaviors, etc. are aggregated and assigned to that person, organization, location, automobile, ship or any other entity type. When an application performs analytics on this entity-resolved data, the results offer much greater context than analytics on the unlinked, unresolved data most applications use today.
Analytics that present a complete view of all actions of an individual entity are difficult to deliver today as they can require many time-consuming and expensive manual processes. With entity-resolved data, complete information about each entity’s specific actions and behaviors is automatically linked so applications can perform analytics quickly and easily. Below are some examples of how applications, such as enterprise search, data warehouse and link analysis visualization, can employ entity-resolved data from Novetta Entity Analytics to provide more powerful analytics.
Marc isn’t long on specifics of how Novetta Entity Analytics works in his prior posts but I think we can all agree on his recitation of the benefits of entity resolution in this post.
Once we know the resolution of an entity or subject identity as we would say in topic maps, the payoffs are immediate and worthwhile. Search results are more relevant, aggregated (merged) data speeds up queries and multiple links are simplified as they are merged.
How we would get there varies but Marc does a good job of describing the benefits!