Entity Analytics

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What Does Entity Analytics Mean?

Entity analytics make use of like and related
entities in order to perform analytics on relationships, people, transactions,
events and things. The entities could be spread across large and disparate
collections of data. Entity data can be fetched from traditional structured data
sources and unstructured data. It works by presenting a single and
unified view of organizations, locations and people. By connecting the
various dots together, much can be studied based on relationships and data
repositories, which can help organizations enhance their customer
experience.

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Techopedia Explains Entity Analytics

Entity analytics help organizations by launching
more target-oriented campaigns and by reducing the risk of fraud. With the help of entity analytics, organizations can predict and preempt suspicious activity
faster and with reduced costs. Entity analytics further help by allowing enterprises
to detect the entities that are the same, regardless of whether the entities are hidden
or masked. It not only helps in the detection, but with the help of various
entity analytic solutions, automatic notifications can be issued in the
case of questionable activities for quick detection and prevention.

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Margaret Rouse
Technology expert
Margaret Rouse
Technology expert

Margaret is an award-winning writer and educator known for her ability to explain complex technical topics to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles in the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret’s idea of ​​a fun day is to help IT and business professionals to learn to speak each other’s highly specialized languages.