Introducing Connection Analytics— An Ovum white paper
A new way of analyzing the changing relationships between people, products, physical phenomena, and events
Big data analytics encompasses a large umbrella of analytic approaches, with new ones now emerging that complement traditional SQL-query processing.
One of the most promising new big data analytic approaches is "Connection Analytics," a method for exploring data that uncovers interdependencies between people and/or "things." Connection Analytics can be performed using multiple techniques like graph, machine learning, data mining and others.
Read this Ovum white paper to learn how Connection Analytics is being used to answer questions such as:
How do relationships between people in various groups impact the likelihood that demand for a product goes viral?
What are the ripple effects that could happen when a broken outflow pipe contaminates a water supply, or the occurrence of illness triggers a mass outbreak?
What will happen when a merchant, auctioneer, or bidder drops their price for a product?
How do changes in bodily metabolism impact the effects and interactions between different drugs?
Until now, answering such questions required enormous compute power, time-consuming data management, and the need for learning highly specialized programming and query languages. With Connection Analytics, these types of questions can be answered.
Tony Baer Principal Analyst Ovum IT Information Management