The Data Webhouse Toolkit: Building the Web-Enabled Data Warehouse
"Ralph's latest book ushers in the second wave of the Internet. . . . Bottom line, this book provides the insight to help companies combine Internet-based business intelligence with the bounty of customer data generated from the internet."--William Schmarzo, Director World Wide Solutions, Sales, and Marketing,IBM NUMA-Q.
Receiving over 100 million hits a day, the most popular commercial Websites have an excellent opportunity to collect valuable customer data that can help create better service and improve sales. Companies can use this information to determine buying habits, provide customers with recommendations on new products, and much more. Unfortunately, many companies fail to take full advantage of this deluge of information because they lack the necessary resources to effectively analyze it.
In this groundbreaking guide, data warehousing's bestselling author, Ralph Kimball, introduces readers to the Data Webhouse--the marriage of the data warehouse and the Web. If designed and deployed correctly, the Webhouse can become the linchpin of the modern, customer-focused company, providing competitive information essential to managers and strategic decision makers. In this book, Dr. Kimball explains the key elements of the Webhouse and provides detailed guidelines for designing, building, and managing the Webhouse. The results are a business better positioned to stay healthy and competitive.
In this book, you'll learn methods for:
- Tracking Website user actions
- Determining whether a customer is about to switch to a competitor
- Determining whether a particular Web ad is working
- Capturing data points about customer behavior
- Designing the Website to support Webhousing
- Building clickstream datamarts
- Designing the Webhouse user interface
- Managing and scaling the Webhouse
The companion Website at www.wiley.com/compbooks/kimball provides updates on Webhouse technologies and techniques, as well as links to related sites and resources.
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analysis application server architecture attributes behavior browser Calendar Causal chapter clickstream data mart Common Log Format communication complete conformed dimensions cookie currency Customer dimension data mart data mining data mining tool data sources data ware data warehouse data Webhouse database Date dimension decisions demographic described dimension table dimensional modeling dynamic e-mail end user event fact table Figure foreign key host hot response cache identify implementation indexing individual Internet IP address language manager marketing multiple OLAP OLTP organization person personal computer post-processor profit protocol purchase query record referrer request roles search engine server log single specific status surrogate keys tion tracking transaction UNICODE unique user interface user's visitor Web server Webhouse project Webmaster Website