BEA Weblogic - Personalizing the world wide web

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Case Details:

Case Code : ITSY017
Case Length : 09 Pages
Period : 1990-2001
Pub Date : 2002
Teaching Note : Available
Organization : BEA Systems Inc.
Industry : Information Technology Countries : USA

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This case study was compiled from published sources, and is intended to be used as a basis for class discussion. It is not intended to illustrate either effective or ineffective handling of a management situation. Nor is it a primary information source.

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Excerpts

About Personalization

Personalization means providing website users the option to register and set their own preferences. Personalization is a process of collecting user-related data in order to render relevant content and services.

Personalization includes dynamically altering content and settings on the websites, in accordance with the personal preferences of the surfer.

It could range from a task as simple as a portal allowing users to change the color of the webpage background to a website on stock portfolio management services enabling its customers to customize their portfolio pages...

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BEA & the BEA Weblogic Personalization Server

BEA, a leading application infrastructure software company, was established in 1995. The company offered integrated, innovative and advanced products/services tailored to transform businesses into e-businesses...

Personalization - The Future

According to a study conducted by Nielsen/Net ratings, visitors who set up their personal pages on the Netcenter Website of Netscape or My Yahoo site of Yahoo, viewed three to six times more pages and stayed on the sites three to five times longer compared to other visitors to the sites. However, the study also revealed that the number of visitors who created their personal pages was considerably less. My Yahoo amounted to only 10% (2.2 million) of the total Yahoo customer base and the Netcenter site accounted for 12% (1.2 million) of Netscape's total customer base...

Exhibits

Exhibit I: Components of the WLPS
Exhibit II: Guidelines to Overcome Problems in Personalization

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