Win with Advanced Business Analytics / SAS Institute Inc (PDF)
Creating Business Value from Your Data
(Sprache: Englisch)
Plain English guidance for strategic business analytics and big
data implementation
In today's challenging economy, business analytics and big data
have become more and more ubiquitous. While some businesses don't
even know where to start, others are...
data implementation
In today's challenging economy, business analytics and big data
have become more and more ubiquitous. While some businesses don't
even know where to start, others are...
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Produktinformationen zu „Win with Advanced Business Analytics / SAS Institute Inc (PDF)“
Plain English guidance for strategic business analytics and big
data implementation
In today's challenging economy, business analytics and big data
have become more and more ubiquitous. While some businesses don't
even know where to start, others are struggling to move from beyond
basic reporting. In some instances management and executives do not
see the value of analytics or have a clear understanding of
business analytics vision mandate and benefits. Win with
Advanced Analytics focuses on integrating multiple types of
intelligence, such as web analytics, customer feedback, competitive
intelligence, customer behavior, and industry intelligence into
your business practice.
* Provides the essential concept and framework to implement
business analytics
* Written clearly for a nontechnical audience
* Filled with case studies across a variety of industries
* Uniquely focuses on integrating multiple types of big data
intelligence into your business
Companies now operate on a global scale and are inundated with a
large volume of data from multiple locations and sources: B2B data,
B2C data, traffic data, transactional data, third party vendor
data, macroeconomic data, etc. Packed with case studies from
multiple countries across a variety of industries, Win with
Advanced Analytics provides a comprehensive framework and
applications of how to leverage business analytics/big data to
outpace the competition.
data implementation
In today's challenging economy, business analytics and big data
have become more and more ubiquitous. While some businesses don't
even know where to start, others are struggling to move from beyond
basic reporting. In some instances management and executives do not
see the value of analytics or have a clear understanding of
business analytics vision mandate and benefits. Win with
Advanced Analytics focuses on integrating multiple types of
intelligence, such as web analytics, customer feedback, competitive
intelligence, customer behavior, and industry intelligence into
your business practice.
* Provides the essential concept and framework to implement
business analytics
* Written clearly for a nontechnical audience
* Filled with case studies across a variety of industries
* Uniquely focuses on integrating multiple types of big data
intelligence into your business
Companies now operate on a global scale and are inundated with a
large volume of data from multiple locations and sources: B2B data,
B2C data, traffic data, transactional data, third party vendor
data, macroeconomic data, etc. Packed with case studies from
multiple countries across a variety of industries, Win with
Advanced Analytics provides a comprehensive framework and
applications of how to leverage business analytics/big data to
outpace the competition.
Inhaltsverzeichnis zu „Win with Advanced Business Analytics / SAS Institute Inc (PDF)“
Preface Acknowledgments Chapter 1 The Challenge of Business Analytics Chapter 2 Pillars of Business Analytics Success: The BASP Framework Chapter 3 Aligning Key Business Challenges across the Enterprise Chapter 4 Big and Little Data: Different Types of Intelligence Chapter 5 Who Cares About Data?: How to Uncover Insights Chapter 6 Data Visualization: Presenting Information Clearly-The CONVINCE Framework Chapter 7 Analytics Implementation: What Works and What Does Not Chapter 8 Voice-of-the-Customer Analytics and Insights Abhilasha Mehta, PhD Chapter 9 Leveraging Digital Analytics Effectively Judah Phillips Chapter 10 Winning with Predictive Analytics: What Works and What Does Not Chapter 11 Predictive Analytics Applied to Human Resources Jac Fitz-enz, Ph.D. Chapter 12 Social Media Analytics Judah Phillips Chapter 13 The Competitive Intelligence Mandate Chapter 14 Mobile Analytics Judah Phillips Chapter 15 Effective Analytics Communication Strategies Chapter 16 Business Performance Tracking: Execution and Measurement Chapter 17 Analytics and Innovation Chapter 18 Unstructured Data Analytics: The Next Frontier Chapter 19 Future of Analytics About the Authors
Autoren-Porträt von Jean-Paul Isson, Jesse Harriott
JEAN PAUL ISSON is an internationally recognized speaker and an expert in advanced business analytics. He is Global Vice President of BI and predictive analytics at Monster Worldwide, Inc., where he has built his team from the ground up and successfully conceived and implemented advanced analytics and web mining solutions. Prior to joining Monster, Isson led the global customer behavior modeling team at Rogers Wireless, implementing churn models and pioneering the Customer Lifetime Value segmentation to optimize services marketing and sales activities.JESSE S. HARRIOTT, PHD, is Chief Analytics Officer for Constant Contact. Previously, Jesse was Chief Knowledge Officer at Monster Worldwide where he helped drive annual revenue from $300 million to over $1.3 billion. Harriott started an international analytics division at Monster and created the Monster Employment Index, now tracked in the United States, Europe, and Asia by millions of people. He also led web analytics, business intelligence, competitive intelligence, data governance, marketing research, and sales analytics departments for Monster. Jesse has taught at the University of Chicago and was named one of Boston's Top 40 Under 40.
Bibliographische Angaben
- Autoren: Jean-Paul Isson , Jesse Harriott
- 2012, 1. Auflage, 416 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118420519
- ISBN-13: 9781118420515
- Erscheinungsdatum: 17.09.2012
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