Las Vegas|October 28 - 30, 2008

Wednesday | Thursday | Presenting Organizations

Select a session below session for a detailed description:

Sessions: Wednesday, Oct. 29
1:30 - 2:15 Carnival Cruises Along with the Power of Customer Analytics Improving Demand Planning and Managing Change at the Union Pacific Railroad
Driving Greater Intelligence Through Integration Managing Transformation Through the Integration of People, Process and Technology
2:30 - 3:15 Corporate Values or Brand Reputation: What Drives Enterprise Sustainability? Leading and Succeeding with Analytics Fraud and Financial Crimes
Leveraging Assets Through an ERP Implementation Distribution Effectiveness in Financial Services - "Who's in Your Network?"

Carnival Cruises Along with the Power of Customer Analytics
Carnival Cruise Lines will discuss how to leverage customer knowledge and insight to create and execute customer-focused, integrated, direct marketing campaigns. As cruise companies increase the number of berths available, marketing campaigns that build brand preference are crucial. Carnival Cruise Lines works to achieve this through highly targeted consumer communications. The first step on this journey is to build a complete view of customers through predictive modeling and analytics. The next step uses this understanding to segment customers, targeting these customers with the appropriate communications.

Attendees will learn:

  • To build and leverage customer insight to improve profits.
  • Best practices for customer segmentation.
  • How effective marketing campaigns can provide increased ROI.
Speaker: Shannon Balliet-Antorcha, Director, Database Marketing and Customer Data Integration, Carnival Cruise Lines

About The Speaker
At Carnival Cruise Lines, Shannon Balliet-Antorcha is responsible for all database marketing functions and oversees technology projects related to the customer data integration hub, including design, maintenance, enhancement and reporting. She spearheaded the integration of various sources of customer data to identify and market to high-value customer segments by applying predictive modeling and analytics. This approach resulted in 5 percent growth in repeat purchases year over year and a 1.25 percent increase in customer retention over a 12-month interval.