HotelQuickly embraces Tableau’s data analytics tools to stay ahead of competition

HotelQuickly has combined mobility and travel with great success. The company taps into the spontaneous side of human nature by providing a mobile-only private sales channel that offers rooms only for the same day and one day ahead of checking in. As bookings are done very close to the actual day, hotels are willing to grant steep discounts to members of HotelQuickly.

A study by Lenovo found that about 59 percent of people in Asia searched for travel accommodation online via mobile devices—13 percent above the global average.

Based in Hong Kong, the company currently serves the Australia, Malaysia, Singapore, Thailand and Vietnam markets, featuring more than 6,000 hotels. The app is localized to six different languages, including Bahasa, English, Thai, Vietnamese, as well as simplified and traditional Chinese.

HotelQuickly’s expanding operations mean that the amount of data the team has to crunch—from customer information to hotel rates to—has also grown tremendously over the last two years. The company’s largest data sets have hundreds of millions of rows in a single table.

One of the earliest business challenges the Business Intelligence team faced was to help management make fast and informed decisions.

“As we run many partnership campaigns, we have to analyze the performance of each campaign and share our findings on a weekly basis,” said Peter Varga, Head of Business Intelligence, HotelQuickly. “We could not do this prior to having Tableau.”

Another challenge was preparing reports for our investors in a timely manner. “We used to spend a lot of time exporting data to Microsoft Excel worksheets,” said Peter. This left little time to spend exploring the data for additional insights.

Looking for a better solution

The team at HotelQuickly had started looking for the right business intelligence (BI) tool to support their work in the second half of 2014.

“We tried other BI software but found that most did not have good visual analytics capabilities and it was quite difficult to start working with them. I stumbled across Gartner’s 2014 Magic Quadrant for BI and Analytics Platform during my search, and saw Tableau in the top right quadrant, which effectively positions it as a leader in its space, and that piqued my interest. I reached out to few other leading companies in the Magic quadrant and after reviewing the competing products, Tableau felt clearly as a superior solution to our needs. By the time it took me to figure out how to even connect to data in other solutions I was already gaining interesting insights into our data in Tableau thanks to it simple, intuitive drag & drop interface,” Peter commented.

Peter went on to download the free trial version, and to his delight, he found it to be very intuitive. He then introduced Tableau to his BI team, which is made up of BI analysts and a developer.

“It’s the ability to connect seamlessly to the various data sources (Amazon Redshift in our case), do analysis and gain valuable insights very quickly that made Tableau very attractive to us,” said Peter.

Since choosing Tableau, Peter’s team has worked with as much as half a billion rows of data using Tableau. “I was very pleasantly surprised by the speed of Tableau and ability to interact with even big data in almost real-time fashion,” he said.