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Web Evolution
Guide to Data Warehousing and Business Intelligence

 

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Introduction
Internet Communication
Web Server Logs
User Authentication
Web Evolution
Dimensional Model

The Business Intelligence gained from analyzing web server logs and data from Internet application systems can be leveraged to formulate plans for evolving your corporate website.  Shorter-than-expected visits, unexpected navigation paths and transaction abandonment prior to completion can suggest design or usability issues that need to be addressed.

It is very useful to analyze the "entry" and "exit" pages to a website.  Visitors frequently enter through a 'back door" rather than through the home page.  This isn't necessarily a problem.  In fact, website visits can often be increased by treating each web page as a "home page".  This involves implementing an appropriate navigation design and making full use of meta tags on all pages.

Because web pages are dynamics, web analytics must account for this.  The content on a given web page can be much different from week to week.

Web analytics should also consider pages in a web as sets of visual "components" that have been assembled into webpages. Some components may be used in multiple pages, while others are not.  Some components contain core content that all visitors see whereas other components might only be visible tor certain categories of users.

The following diagram illustrates how a web pages can actually consist of many discrete components:

Header

Customer Specific

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Core

Content

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When formulating a web analytics strategy, it is important to understand the architecture of a web site and recognize and manage the evolving nature of corporate websites. 

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