| MISQE Special Theme Book: Business Analytics Contributor(s): Beath, Cynthia (Foreword by), Ross, Jeanne (Foreword by), Wixom, Barbara (Foreword by) |
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ISBN: 1508607494 ISBN-13: 9781508607496 Publisher: Createspace Independent Publishing Platform OUR PRICE: $19.00 Product Type: Paperback - Other Formats Published: April 2015 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Social Aspects |
| Physical Information: 0.34" H x 8.5" W x 11.02" (0.85 lbs) 160 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This special theme book contains 12 articles on the topic of business analytics. These are classic and current articles previously published in MIS Quarterly Executive. Foreword by Cynthia Beath, Jeanne Ross, and Barbara Wixom. Articles included in this book: "Vigilant Information Systems for Managing Enterprises in Dynamic Supply Chains: Real-time Dashboards at Western Digital" (Houghton, El Sawy, Gray, Donegan, & Joshi, 2004) "Continental Airlines Flies High with Real-time Business Intelligence" (Anderson-Lehman, Watson, Wixom, & Hoffer, 2004) "Advanced Business Intelligence at Cardinal Health" (Carte, Schwarzkopf, Shaft, & Zmud, 2005) "Profit from Customer Data by Identifying Strategic Opportunities and Adopting the 'Born Digital' Approach" (Piccoli & Watson, 2008) "Developing an Enterprise Business Intelligence Capability: The Norfolk Southern Journey" (Wixom, Watson, & Werner, 2011) "Harvesting External Data: The Potential of Digital Data Streams" (Piccoli & Pigni, 2013) "Maximizing Value from Business Analytics" (Wixom, Yen, & Relich, 2013) "The Evolution of Information Governance at Intel" (Talon, Short, & Harkins, 2013) "Crowdsourcing: How to Benefit from (Too) Many Great Ideas" (Blohm, Leimeister, & Krcmar, 2013) "Data Monetization: Lessons from a Retailer's Journey" (Najjar & Kettinger, 2013) "Exploiting Big Data from Mobile Device Sensor-Based Apps: Challenges and Benefits" (O'Leary, 2013) "A Cubic Framework for the Chief Data Officer: Succeeding in a World of Big Data" (Lee, Madnick, Wang, Wang, & Zhang, 2014). |
