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Mandarin Oriental Hotels Complete World-Wide BI Installations

Mandarin Oriental Hotels announce the world-wide installation of Datavision Technologies' Datavision Business Intelligence System Suite. Installations include hotels in Hong Kong, Macau, Singapore, Tokyo, Bangkok, Kuala Lumpur, Manila, Munich, London, Geneva, New York, Riviera Maya and others. The Datavision suite consists of a data warehouse at each property along with interfaces to key systems (PMS, POS, Spa, Sales & Catering, Purchasing, Inventory and Back Office.) Data from these disparate systems can then be viewed together in one integrated platform via Excel spreadsheets and web based reports.

Since Datavision extracts data from all key systems, it is used by multiple departments across the property. Revenue managers use Datavision to analyze and report on rooms booking pace, market segmentation, Travel Agent business, in room vs. out of room spend, etc. The spa department uses Datavision to understand their spa booking pace, booking lead times and analyze retail sales. Accounting uses Datavision to streamline their income audit procedures - automatically collect and balance all financial data (rooms, spa F&B, etc.) and transmit the reconciled results to the back office.

Gary McCallum, vice president of hotel information systems at Mandarin Oriental Hotel Group says, "We are excited about the benefits that Datavision brings to our hotels.  Their ability to extract and integrate data from multiple systems allows each hotel to have a single, actionable view of the data across the entire property. By deploying Datavision across our company, we have successfully reduced the amount of time our colleagues spend manually creating reports and analyzing information, thus allowing them to spend more time delighting our guests."

"We are also planning on having Datavision deploy a centralized data warehouse at our corporate offices in Hong Kong to consolidate data from all our properties. This will give our corporate and regional users on-demand access to enterprise-wide data," notes McCallum.

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