Master Competitive Analytics with Oracle Endeca Information Discovery / Edition 1

by Helen Sun, William Smith

Overview

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Oracle Endeca Information Discovery Best Practices

Maximize the powerful capabilities of this self-service enterprise data discovery platform. Master Competitive Analytics with Oracle Endeca Information Discovery reveals how to unlock insights from any type of data,regardless of structure. The first part of the book is a complete technical guide to the product's architecture, components, and implementation. The second part presents a comprehensive collection of business analytics use cases in various industries, including financial services, healthcare, research, manufacturing, retail, consumer packaged goods, and public sector. Step-by-step instructions on implementing some of these use cases areincluded in this Oracle Press book.

• Install and manage Oracle Endeca Server
• Design Oracle Endeca Information Discovery Studio visualizations to facilitate user-driven data exploration and discovery
• Enable enterprise-driven data exploration with Oracle Endeca Information Discovery Integrator
• Develop and implement a fraud detection and analysis application
• Build a healthcare correlation application that integrates claims, patient, and operations analysis;partners; clinical research; and remote monitoring
• Use an enterprise architecture approach to incrementally establish big data and analytical capabilities

Product Details

ISBN-13:	9780071833189
Publisher:	McGraw Hill LLC
Publication date:	09/19/2014
Series:	Oracle (McGraw-Hill)
Pages:	264
Product dimensions:	7.30(w) x 9.00(h) x 0.60(d)

About the Author

Helen Sun is coauthor of The Oracle Big Data Handbook and author one of the most downloaded white papers on Big Data. She works on Endeca integration and Oracle Big Data at Oracle.

William Smith (Chicago, IL) works with Oracle customers making use of Big Data and is developing innovative solutions utilizing Endeca.

William Smith has over two decades experience as an Enterprise Architect with a strong background in decision support systems and analytics. William’s early career experience includes working with data from manufacturing control systems and instrumentation in industries that include plastics, petro-chemicals, glass, food, and extrusion processes. William has enterprise systems experience in higher education, finance, consumer research, and healthcare. In the area of analytics, William is an Oracle employee and has worked in the area of predictive failures and statistical process control. William is currently working with customers making use of Big Data and is developing innovative solutions utilizing Endeca.

Table of Contents

Part One: A technical guide on Endeca product including architecture and implementation best practices
1: Endeca Information Discovery Overview
2: Understanding Endeca Server
3: Powering the Endeca Studio
4: Mastering Endeca Integration Suite
Part Two: A list of business analytics use cases that have not been previously published
5: Analytical Applications By Industry
6: Fraud Detection
7: Healthcare Correlation
8. Financial Industry Best Practices