Soluciones

Análisis de turismo y transporte

En los sectores del turismo y el transporte siempre abundaron los datos, ya que se recopilan en cada punto de interacción. Tanto si se trata de pasajeros como de cargas, los datos ayudan a equilibrar la oferta y la demanda, con el fin de optimizar los ingresos y la rentabilidad del inventario, y las capacidades. El negocio de los viajes y la hospitalidad incluye aerolíneas, hoteles, compañías de alquiler de autos y empresas de cruceros. Todos ellos capturan comportamientos y experiencias de los clientes que contienen información valiosa para el negocio. Pero los métodos de análisis del sector de turismo y transporte suelen ser lentos y no siempre son intuitivos.

Al mismo tiempo, las empresas de logística y transporte, como transportistas de camiones, trenes de carga, entregas aéreas, marítimas y proveedores de servicios logísticos, intentan vincular fuentes de datos diversas para administrar sus redes y planificación de capacidades, además de optimizar las rutas para una mayor rentabilidad. Con Tableau, puede combinar y vincular con rapidez datos similares a fin de obtener la información necesaria para mejorar la administración y el rendimiento de los ingresos. Esto se consigue gracias a estrategias de precios basadas en los datos y la visibilidad del inventario en tiempo real. Además, todo ello ayuda a generar fidelidad en los clientes. Descubra en esta sección cómo Tableau ayuda a mejorar los análisis de turismo y transporte.

Análisis de turismo y transporte en acción



Historia de cliente: Carlson Rezidor escaló a 300 hoteles en tan solo 60 días

Carlson Rezidor escaló su adopción empresarial de Tableau en toda su organización de USD 7000 millones. El equipo desarrolló rápidamente algunos dashboards, que se implementaron en 300 hoteles de la franquicia en tan solo 60 días. Con Tableau, el equipo ha pasado de realizar básicamente tareas de soporte a ofrecer recomendaciones proactivas a los hoteles de la franquicia.

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      MAT HUGHES: It's just been a huge game changer for us. So instead of having to wait for something to already happen and then try to figure out why it happened, we're now proactively looking out. And we can see what's going to happen before it happens and then prepare for that, or maybe change it.

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      Tableau was really the only one that followed through on making it as easy as the website made it seem. We actually downloaded one free trial. And during that 14-day time period, we were able to not only recreate all of the dashboards that we were already doing, and they updated much faster, but we also built several new ones. So by the time it was over, we went to our director for approval, and it was probably the easiest approval we've ever got because the ROI was already there after 14 days.

      Originally we had just intended Tableau to be an internal analytics tool, but what we started finding was that it was so easy to build reports that we felt were visually compelling, that we wanted to actually start showing it to hotels. And so we started with a few hotels and maybe two or three reports, and started showing it to them, and then we showed it to a few more, and to a few more.

      What we found was that within 60 days we had 300 hotels that we're asking for these reports once a week. We tried doing that in the past, and really the limitations was the tools and the data. So what we were able to do with Tableau is we have a small group of analysts now making proactive recommendations for all of our hotels in the Americas, with no additional staff, no additional resources. So in five months, we were able to make 1,200 proactive recommendations to hotels.

      Just on a day to day basis I'm able to take business questions and we're able to turn them around in minutes, instead of things that literally took us days before to do. We've implemented Tableau Server, the amount of time I spent updating reports is now zero, very much zero. And not just that, but we have a lot more data being updated.

      So before I was only doing weekly, now all of our data is updated nightly. And a year ago, before we even had Tableau at all, that data was being updated monthly. We started with just getting Tableau Server for our department, now we're looking at an enterprise-wide deployment just because of the value that we've already seen.

      Nos cambió por completo las reglas del juego. Ya no tenemos que esperar a que algo ocurra y, luego, tratar de descifrar por qué sucedió. Ahora, miramos los datos de forma proactiva y vemos qué va a pasar antes de que suceda y, luego, nos preparamos para ello o incluso lo cambiamos.