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Intelligencia.co

Cruise Lines

Today, the Cruising industry is going through radical changes. With “Big Data” generating quite a lot of hype in the market today, a key question being asked is "How do companies leverage the value of big data?" Cruises lines need to understand the concept of the Analytics Lifecycle, advanced visualization, as well as understand new developments in high-performance analytics, market directions in analytics, including text analysis, as well as emerging deployment models.

Today, the Cruising industry is going through radical changes. With “Big Data” generating quite a lot of hype in the market today, a key question being asked is "How do companies leverage the value of big data?" Cruises lines need to understand the concept of the Analytics Lifecycle, advanced visualization, as well as understand new developments in high-performance analytics, market directions in analytics, including text analysis, as well as emerging deployment models. Cruise lines have unique challenges when it comes to analyzing the social web.

  • New labor demand planning system, which generate transaction forecasts for every 15-minute period at many locations throughout the property, including park entry turnstiles, quick-service restaurants and merchandise locations. These forecasts help the resort plan labor effectively to ensure guest service standards are met.
  • Offering customization – analytics are used to customize offerings and experiences that better match resort guests’ desires. For example, data mining is used to understand what vacation packages are most appealing to different types of guests. This analysis, coupled with optimization models, allows the company’s Web site and call center agents to present offers that provide a more customized vacation planning experience.
  • Training – analytics were utilized throughout the planning process, including organizing the logistics around training the nearly 1,700 new crew members and planning crew rotations on and off the cruise ships.
  • Restaurant table-searing optimization – statistical analyses helps the company understand the patterns around party sizes, arrival times and table turn times. This knowledge is incorporated into mathematical models that determine the right mix of tables to best meet guest demand. Another set of models helps develop inventory templates that embrace the stochastic nature of the operation while maximizing the utilization of the restaurant. A recent update made these models dynamic in nature – accounting for the bookings already made while considering the projected reservations up until the actual day arrives.
  • Streamline back-of-house operations – an on-site textiles facility handles nearly 300,000 pounds of laundry every day, servicing costumes from across the operation as well as linens from resort hotels. The resort leverages computer simulation to recreate the facility in a virtual environment. Simulation offers many benefits prior to making physical changes, including identifying potential bottlenecks and testing new concepts or designs that can increase the overall capacity of the facility.

Cruising with Salesforce

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