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Análise de dados para o setor de viagens e transportes

O setor de viagens e transportes sempre trabalhou com uma grande quantidade de dados, que são coletados em todos os pontos de interação. Não importa se os dados são sobre hóspedes, passageiros ou cargas, eles ajudam a equilibrar a oferta e a demanda para maximizar a receita e a lucratividade dos estoques e da capacidade. Empresas de diversos segmentos, como companhias aéreas, hotéis, locadoras de automóveis e linhas de cruzeiros, estão registrando dados sobre o comportamento e a experiência dos clientes que contêm informações valiosas para os negócios. Porém, os métodos usados para analisar dados de viagens e transportes geralmente são lentos e nem sempre são intuitivos.

Ao mesmo tempo, empresas de transporte e logística dos segmentos de entregas por caminhão, transporte ferroviário de cargas, frete aéreo/marítimo e serviços logísticos estão tentando conectar fontes de dados distintas para gerenciar o planejamento de capacidade e rede, bem como para otimizar as rotas a fim de aumentar os lucros. Com o Tableau, você pode combinar e vincular rapidamente dados semelhantes de modo a obter as informações necessárias para melhorar a gestão de receita e a produtividade. Isso é possível graças a estratégias de preços fundamentadas nos dados e à visibilidade dos estoques em tempo real. Essa é também uma excelente maneira de garantir a fidelização dos clientes. Veja como o Tableau otimiza a análise de dados para o setor de viagens e transportes aqui.

Demonstração da análise de dados nos setores de viagens e transportes



História de cliente: Carlson Rezidor expande implantação para 300 hotéis em apenas 60 dias

Avaliada em US$ 7 bilhões, a Carlson Rezidor expandiu a adoção do Tableau para toda a empresa. A equipe desenvolveu rapidamente alguns painéis que foram implementados em 300 franquias do hotel em apenas 60 dias. Com o Tableau, a equipe passou de uma abordagem centrada no suporte para o oferecimento de recomendações proativas às franquias do hotel.

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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.

      O Tableau revolucionou a nossa forma de trabalhar. Em vez de esperar que um problema ocorra para depois tentar identificar a causa, agora podemos ser proativos e prever o que acontecerá. Assim, podemos estar preparados e até mesmo evitar que o problema ocorra.