"Clickstream" refers to the series of clicks entered by a customer as he or she navigates a Web site. A Web-enabled warehouse needs to track each of these clicks to get a meaningful picture of who the customer is and what products and services he or she may want to buy. In this book, the authors show how to capture this information in a data warehouse so that it can be used for better customer support and decision-making.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Maße
Höhe: 23.5 cm
Breite: 18.9 cm
Gewicht
ISBN-13
978-0-471-08377-1 (9780471083771)
Schweitzer Klassifikation
MARK SWEIGER is President and Principal of Clickstream Consulting, a boutique consultancy specializing in clickstream data warehouses and data warehouse education. He is a noted author on data warehousing and is a speaker at The Data Warehousing Institute.
MARK R. MADSEN is Vice President and Principal of Clickstream Consulting. He has held various high-level positions within IT organizations and technology vendors and has extensive experience in data warehousing and supply chain management.
JIMMY LANGSTON is a Senior Consultant at Clickstream Consulting, where he advises clients on optimal data warehouse architectures, implementation, multidimensional database design, database configuration, and performance tuning.
HOWARD LOMBARD is Chief Architect at Gazelle Consulting, Inc., a consultancy specializing in the design and implementation of large-scale data warehousing and business intelligence solutions.
Introduction.Acknowledgments. PART 1: CLICKSTREAM DATA WAREHOUSE ARCHITECTURAL FOUNDATIONS.A Typical E--Business Architecture.The Web Application Environment.Clickstream Data Soures and Web Server Log Files.Using Cookies and Other Mechanisms to Track User Identity.PART 2: BUILDING A CLICKSTREAM DATA WAREHOUSE, STEP--BY--STEP. Planning, Managing, and Staffing a Clickstream Data Warehouse Project.The Clickstream Data Warehouse Meta--Schema.Implementing the Approprate Clickstream Data Warehouse Technology Infrastructure.Building the Clickstream Extract, Transformation, and Load Mechanism.Analyzing the Data in the Clickstream Data Warehouse.AppendixA.Index.
