解决方案

旅行和运输分析

旅行和运输业从不缺少数据,因为每个交互点都可以收集数据。无论服务对象是游客、乘客还是货物,数据有助于实现供需平衡,优化与库存及吞吐量相关的收入和利润。无论是旅行还是酒店服务,各家航空公司、酒店、租车公司和游轮公司都在收集关于客户行为和体验的信息,因为其中包含非常重要的业务见解。但旅游和运输分析领域的方法往往速度太慢,而且不够直观。

同时,包括货车运输、铁路货运、空运、海运和物流服务供应商在内的运输物流公司希望将不同的数据源联系起来,以便对网络和吞吐量规划进行管理,同时优化路线,实现盈利。借助 Tableau,您可以快速混合和联系相似的数据,从而获得您需要的见解,利用这些见解来实现数据驱动型定价策略并查看实时库存,从而改善收入管理和提高收益,同时实现终身不变的客户忠诚度。在此处了解 Tableau 如何增强旅行和运输分析。

旅行和运输分析演示



客户案例:卡尔森瑞德酒店集团在短短 60 天内将使用范围扩展至 300 家酒店

卡尔森瑞德酒店集团在其价值高达 70 亿美元的组织内全面扩展 Tableau 的企业部署规模。该团队快速开发了几个仪表板,然后在短短 60 天内,迅速将这些仪表板推广到 300 家加盟酒店。部署 Tableau 之后,该团队的工作已经从以提供支持为主转变为主动为加盟酒店提供建议。

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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.

[MUSIC PLAYING]

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.

它为我们带来了翻天覆地的变化。过去,我们只能等待事情发生后再分析这件事情为什么发生。而现在,我们可以主动预测将要发生的事情,并在事情发生前进行准备或者改变其发展趋势。