Revenue Management and Hadoop, 'Data Hubs' & the Data Center Transformation


Details
The practice of revenue management originated almost 40 years ago in the airline industry but has since expanded to many other industries, notably service and retailing industries. In this talk, Dan Zhang, Leeds School of Business Professor, will review some fundamental revenue management concepts and discuss their practical applications. The theory and practice of revenue management has been expanding on several important dimensions. Dan will discuss recent progress in more realistic customer demand modeling, including the discrete choice model of customer demand, and mathematical optimization approaches to tackle the resulting revenue maximization problems. He will conclude the talk with a case study at a major resort hotel in the US.
Subsequent to Dan's presentation we'll have Alan Saldich, VP of Marketing, Charles Zedlewski, VP of Products, and Matt Brandwein, Product Marketing, from Cloudera present how Hadoop has rapidly emerged as a necessary complement to existing data warehouses, unlocking business insights from more data and more kinds of data than ever before possible. At the same time, Hadoop enables leading organizations to rationalize the cost of data while improving performance, reducing risk, and meeting compliance regulations.
We hope to have a Cloudera customer present a case study after Cloudera's presentation. {We will update the event as we confirm.}
Food and mingling begin at 5:30 and the presentations starts at 5:45.

Revenue Management and Hadoop, 'Data Hubs' & the Data Center Transformation