求书:Win with Advanced Business Analytics
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编辑推荐 Editorial Reviews Provides the essential concept and framework of business analytics/business intelligence implementation to a nontechnical audience.
内容简介 Book Description 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. 作者简介 About the Author Jean-Paul Isson (Montreal, Canada; Cary, NC) is Vice President of Global BI and Predictive Analytics at Monster Worldwide (the parent company of Monster, the premier global online employment solution. With a local presence in key markets in North America, Europe, and Asia, Monster works for everyone by connecting employers with quality job seekers at all levels and by providing personalized career advice to consumers globally. Through online media sites and services, it delivers vast, highly targeted audiences to advertisers.). His team is responsible for global customer scoring/segmentation, predictive modeling, and web mining applications for Monster across North America, Europe, and Asia/Pacific. He has been speaker for BusinessAnalyticsNews.com, ItworldCanada, ItBusiness, 1 to1 Media, IQCP, TDWI, eMetrics, Marketing Optimization Summit / SMX and at SAS and IDC. He has written several articles related to his successful implementation of BI solutions and has been interviewed on Canadian local business news magazines and TV to cover Business Intelligence and Monster Employment Index. Jesse Harriott, PhD (Jaffrey, NH), is Chief Knowledge Officer, Senior Vice President at Monster Worldwide. During his tenure, he helped drive Monsters annual revenue from $300M to over $1.3B. Harriott created Monster Intelligence, the research division at Monster that focuses on the human capital marketplace and has grown the division into Monster Insights, the companys international research arm. Monster Insights provides workforce planning analytics to help Monster customers make informed decisions about todays most pressing human capital issues. He also pioneered the creation of the Monster Employment Index, the first measure of online recruitment activity now tracked in the United States and Europe and followed by millions of people each month. Harriott has appeared in various media outlets including CNBC, The Wall Street Journal, New York Times, CBS radio, Bloomberg, Reuters and was named by Boston Business Journal as one of Boston's top 40 under 40. ·查看全部>> 媒体评论 Book Reviews "Win with Advanced Business Analytics is an essential guide for the business leader on how to extract value from the organization's data assets. It's recommended reading for any executive looking to transform their organization through analytics." -- Sal Iannuzzi, CEO, Monster Worldwide "An analytics revolution is transforming business, breaking down organizational silos and empowering front line employees to make profit-optimizing decisions. If you are looking for a sherpa to guide you to analytics success, Win with Advanced Business Analytics will ensure your business reaches its own highest summit." -- Christoper Krohn, President and CMO Restaurant.com "In the era of Big Data, companies need to have a strong analytics foundation to compete effectively. Win with Advanced Business Analytics gives business leaders all the essential principles needed to get the most from its data assets." -- Gail F Goodman, CEO, Constant Contact "The days of analysis paralysis are over...Win with Advanced Business Analytics does a masterful job of showing how information can be leveraged to make an immediate business impact. You'll leave with a deeper understanding of how to ensure data has the maximum benefit to your organization." -- Steve Pemberton, Divisional Vice-President and Chief DIversity Officer, Walgreen's "Dr. Harriott and Mr. Isson demystify the use of data and empower the business leader to move from anecdotes to analytics. The business owner can benefit from a paradigm shift away from intuition towards a solid foundation of analytics, predictability and results. -- Steve Pogorzelski, CEO, ClickFuel "Anyone working in global health, as I have for nearly three decades, knows firsthand the power of evidence-based practice to guide policy and raise the standard of care. In this book, both rigorous and easily accessible, the authors provide helpful frameworks to harness that power across diverse fields. This book is an essential read for any leader who wants to leverage the power of analytics in addressing the great problems of our times. -- Dr. Paul Farmer, Kolokotrones University Professor at Harvard University and Co-founder of Partners In Health ·查看全部>> 目录 Table of Contents 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 InsightsAbhilasha Mehta, PhD Chapter 9 Leveraging Digital Analytics EffectivelyJudah Phillips Chapter 10 Winning with Predictive Analytics: What Works and What Does Not Chapter 11 Predictive Analytics Applied to Human ResourcesJac Fitz-enz, Ph.D. Chapter 12 Social Media AnalyticsJudah Phillips Chapter 13 The Competitive Intelligence Mandate Chapter 14 Mobile AnalyticsJudah 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 ·查看全部>> |
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