Hawaiian Hotels & Resorts Installs Datavision’s Business Intelligence and CRM Tools

  • Datavision Technologies, Inc.
  • 06.26.06
Datavision Technologies, an industry leader in business intelligence systems for the hospitality industry, has installed their DVEnterprise suite of products at Hawaiian Hotels and Resorts (Newbury Park, CA).

The DVEnterprise suite collects and warehouses data from a variety of on-property systems, such as PMS, golf, spa, point-of-sale, sales & catering and payroll. Data from these disparate systems can then be viewed together in one integrated platform via Excel spreadsheets, browser based reports and highly graphical dashboards.

Glenn Hogan, Executive Vice President of Hawaiian Hotels & Resorts says, “Datavision is one of the best investments we’ve made in years. Their CRM and Revenue Management tools allow us to understand our business information in seconds compared to days, allowing us to manage more effectively and efficiently. The return on investment with Datavision was less than four months.” 

“Our Revenue Management (RM) and Customer Relationship Management (CRM) tools are designed to help hotels and resorts quickly identify their best customers, allowing them to maximize the value of their marketing dollars.” says Sudharshan Chary, President of Datavision. “We’re excited to install DVEnterprise at Hawaiian Hotels & Resorts, and aim to continue delivering significant business benefits to their operations.”

Your Marketing Research at Work

Every day, the marketing module extracts detailed information about each guest including name, address, email, phone number, etc. In addition, guest spending patterns are analyzed by extracting every posted revenue transaction (room revenue, telephone, business center, etc.) The module also extracts future bookings every day, keeping track of guests who have made bookings in the future.

With this set of criteria, you can build marketing campaigns to track the activity within the campaign period or those outside the campaign period. In addition, the data can be set against various per capita maps to view groups or geographic clusters.




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