Estimated duration: 5 minutes
In data analytics, organizing data in an orderly fashion that structures all the given domain variables, and defines relationships between them is called taxonomy. Also referred to as a knowledge graph, it is heavily used in big data analytics. Organizations deal with enormous amounts of data coming from different data sources. In data integration, taxonomy is used to bridge the gap between structured and unstructured data.

This video talks about how enterprises can connect a wide range of data types using different data structures and algorithms. Furthermore, it discusses how taxonomy can be used in marketing analytics to access data through a singular interface. We answer questions such as: What is taxonomy? What is a knowledge model? What are some advantages of taxonomy? How do enterprises use taxonomy for their leverage? How does taxonomy help in data interface?