Cover image for e-Business intelligence : turning information into knowledge into profit
e-Business intelligence : turning information into knowledge into profit
Liautaud, Bernard, 1962-
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Publication Information:
New York : McGraw-Hill, [2001]

Physical Description:
xii, 306 pages : illustrations ; 23 cm
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HD38.7 .L52 2001 Adult Non-Fiction Central Closed Stacks

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Focusing on the three main areas of e-business intelligence - intranets, extranets, and business-to-business e-commerce, this book describes strategies for accessing, analyzing, and sharing corporate data.

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Choice Review

Liautaud has been recognized as an expert in the fields of e-business and entrepreneurship by Intelligent Enterprise magazine and Business Week. With the ever-growing use of information technology resources, businesses are generating huge amounts of raw data. Organizing and analyzing this data for decision making is a major challenge. Liautaud effectively defines this problem and develops solutions. The book is organized in three parts. Part 1 provides an overview of business intelligence, covering how to move beyond automating information collection to actually using the information. He discusses data silos in organizations and ways to eliminate them to permit information sharing among functional areas for maximum efficiency. Part 2 covers strategies for accessing, analyzing, and sharing corporate data both inside the company and with suppliers, partners, and customers. Part 3 discusses how to take information that has been gathered by the organization and share it with other partners for further analysis and understanding. He incorporates case studies and lessons learned from such companies as British Airways, Eli Lily, MasterCard, and Penske Logistics. Recommended for practitioners and students, upper-division undergraduate and graduate. G. Klinefelter; Everglades College

Table of Contents

Acknowledgmentsp. xi
Part 1 The Quest for Intelligence
1. The New e-Business Intelligentsiap. 3
The New Imperativep. 4
Fundamentals of Intelligencep. 5
Currency of the New Economyp. 6
Moving to Intelligence Everywherep. 7
The B2B Intelligence Opportunityp. 10
Do It or Diep. 12
The Ever-Shifting Groundp. 12
2. Information Governancep. 15
Information Dictatorshipp. 16
Information Anarchyp. 19
Information Democracyp. 20
Information Embassiesp. 25
Take the Testp. 26
Summaryp. 32
3. The Value of Informationp. 35
The Data Liability Zone: When Data Is Just a Costp. 37
The First Return on Information Zone: Implementing Departmental Business Intelligencep. 38
The Enterprise Intelligence Zone: Applying Business Intelligence across Departmentsp. 39
The Extended Enterprise Zone: Extending the Value of Existing Relationships through Value-Added Information Sharingp. 40
The Information Merchandising Zone: Selling Data to New Types of Customers via Intelligent Extranetsp. 41
4. Data Overloadp. 43
The Inexorable Rise of Data Volumesp. 45
The Data Silo Problemp. 47
The Globalization Challengep. 53
The Data Quality Issuep. 55
Strategies to Deal with Data Overloadp. 58
Summaryp. 65
5. e-Business Intelligence at Workp. 67
Questions People Askp. 68
The Marketing Analystp. 74
The Purchasing Managerp. 78
Sources of Datap. 83
Part 2 Information Democracies
6. Enterprise Business Intelligencep. 93
Making Better Faster Decisionsp. 94
Controlling the Company's Course: Balancing the Corporate Scorecardp. 107
Business Intelligence, Business Benefitsp. 109
Successful Strategies for Implementing an Enterprise Business Intelligence Systemp. 128
Summaryp. 134
7. Customer Intelligencep. 135
The 360[degree] Relationshipp. 138
The Utopian Segment of One: Segmentation 101p. 142
The ABCs of CRMp. 146
New Forms of Customer Value Managementp. 161
Summaryp. 163
8. Ecommerce Intelligencep. 165
Performing without a Net: The Particulars of Web Businessp. 166
The Need for Ecommerce Intelligencep. 171
Intelligent Scenarios: Benefits of Business Intelligence for Ecommercep. 190
A Note on Privacyp. 191
Part 3 Information Embassies
9. e-Business Intelligence Extranetsp. 195
From Trading Products to Sharing Informationp. 196
Evolving Models for Data Sharingp. 201
e-Business Intelligent Extranets: Tomorrow's Information ATMsp. 202
Risks and Rewardsp. 204
Summaryp. 212
10. Customer Care Extranetsp. 213
A Win-Win Relationshipp. 215
Summaryp. 226
11. Empty, as no business book should have a Chapter 11!
12. Information Brokersp. 227
Design and Circumstancep. 228
Summaryp. 234
13. Supply Chain Extranetsp. 237
The Supply Chain Extranet Opportunityp. 239
Supply Chain Basicsp. 241
Optimizing the Supply Chainp. 243
The Rise of Digital Marketplacesp. 249
Summaryp. 255
Part 4 Vision for Tomorrow
14. The e-Business Intelligence Futurep. 259
e-Business Intelligence Every Dayp. 260
Intelligence Everywherep. 264
Intelligence for Allp. 267
Management by Informationp. 268
A "Normalized" Worldp. 270
The Big Hits and Missesp. 274
Summaryp. 275
Final Note to the Readerp. 275
A. Popular Misconceptions about an e-Business Intelligence Implementationp. 277
Misconception No. 1 Sharing Information Means Losing Controlp. 278
Misconception No. 2 Self-Service Is a Waste of Time for the Usersp. 278
Misconception No. 3 IT Cannot Understand the Businessp. 279
Misconception No. 4 We Do Not Need All That Data Anywayp. 281
B. The Search for Return: Justifying the Investmentp. 283
Bibliographyp. 289
Glossaryp. 291
Indexp. 299