“Continental Airlines Flies High with Real-time Business Intelligence” is a comprehensive example of how an organization used real-time data warehousing and business intelligence applications in its turn around from a poorly performing to an industry leading organization. The case is not heavy on technical details, but the essence of the technology is explained. Thus, the case can be used for a variety of courses and in different degree programs from data warehousing to DSS/BI and from undergrad to executive. Discussion of the case can be led by using the following nn questions and exercises. Included with each question or exercise are some of the points that we believe are most important to raise in the discussion.
1. Describe “active” data warehousing as it is applied at Continental Airlines. Does Continental apply active or real-time warehousing differently than this concept is normally described?
• Continental uses “right-time” instead of real-time, meaning they have an appropriate mixture of data feeding and reporting cycles based on what refresh rates the business needs, how timely reported results need to be, and what is the most cost effective
• Continental employs many real-time feeds of data into the data warehouse, and many examples of real- time, on-demand (prewritten and ad hoc) reporting routines and querying tools (e.g., Teradata QueryMan, and Hyperion Brio)
• So far, Continental has limited instances of direct links from analytics against the data warehouse back to operational systems (e.g., results from analytics on the data warehouse affecting the interactions with customers on the Continental on- line sites); thus,
Continental has many examples of real-time, but few examples of active data wareho using
2. In what ways does real-time data warehousing fit with the Continental strategy and plans?
• To change the company, Continental decided to be on the leading edge of