Many enterprises today build their business around research that involves piecing together meaningful data from the public domain for their customers. When trying to connect data across a domain in a meaningful way building around a graph database is a great tool because it models very well exactly how the business analysts at these research organizations are piecing together the real-world data they are finding during their research.
A business analyst may begin with one person and from there, move to the company they’re working for and then shifting to colleagues before moving on to places where their current colleagues previously worked, before finally settling for their past colleagues. Suddenly the business analysts has nearly finished building out an intuitive network of complex connections around this person of interest which would have been challenging and time consuming to try to represent in Excel.
Graph Database in Research Organizations
Research organizations are more than just managing large data volumes, their core goal is finding understanding that comes through research to gain insight of the available data. To properly leverage data relationships, a research organization requires a database technology that houses data relationship as a first-class entity.
As a native graph database, Neo4j provides several essential advantages for businesses today:
- Neo4j structures data connections precisely as they exist in the world around us with the contextually specific connections between entities as primary entities that can be explored in constant time.
- Real-time results for queries that are exploring the many different and complex connections Read More......
No comments:
Post a Comment