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What is Descriptive Analytics

Handbook of Research on Organizational Transformations through Big Data Analytics
Use of data to find out what happened in the past or is currently happening.
Published in Chapter:
Business Analytics and Big Data: Driving Organizational Change
Dennis T. Kennedy (La Salle University, USA), Dennis M. Crossen (La Salle University, USA), and Kathryn A. Szabat (La Salle University, USA)
DOI: 10.4018/978-1-4666-7272-7.ch001
Abstract
Big Data Analytics has changed the way organizations make decisions, manage business processes, and create new products and services. Business analytics is the use of data, information technology, statistical analysis, and quantitative methods and models to support organizational decision making and problem solving. The main categories of business analytics are descriptive analytics, predictive analytics, and prescriptive analytics. Big Data is data that exceeds the processing capacity of conventional database systems and is typically defined by three dimensions known as the Three V's: Volume, Variety, and Velocity. Big Data brings big challenges. Big Data not only has influenced the analytics that are utilized but also has affected technologies and the people who use them. At the same time Big Data brings challenges, it presents opportunities. Those who embrace Big Data and effective Big Data Analytics as a business imperative can gain competitive advantage.
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More Results
Data-Driven Clinical Decision Support Systems Theory and Research
Descriptive analytics is used to analyze information in order to answer questions, to organize historical information in order to present it visually.
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A New Model for the Digital Transformation of the Strategic Procurement Function: A Case Study From the Aviation Industry
Analysis of historical data to identify patterns and trends within extant processual and functional environments to provide answers to the question: What has happened? Data is presented in relevant charts and reports to provide decision makers with standardized and customized summaries of information.
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In-Memory Analytics
The gathering and processing of data to determine and understand the state of things in an enterprise, gives an answer to what happened?
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Supply Chain Analytics in the Era of Big Data
The analysis of data to understand what happened in the past and what is happing now.
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