

Our choice of Apache Superset wasn’t cut and dry, though. We’ve been using it in production since early 2020, expanding its use until it became our main data exploration tool.
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Eventually, the company decided it was important enough to our internal needs to put our full attention to incorporating Apache Superset as our data exploration platform. When I came to Dropbox in late 2018, I got to continue working on it as a side project. I worked on Apache Superset at Airbnb in its early days. Apache Superset is a modern, open source data exploration and visualization platform already in use at Airbnb, American Express, Lyft, Nielsen, Rakuten Viki, Twitter, and Udemy among others.
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Utilizing certain data allows us to find room for improvement, so that we can continue to provide the best guest experience - a value that drives Casai to be the leading startup in the technology and hospitality industry in Latin America.Today the Apache Software Foundation announced Apache Superset as one of its official top-level projects. With Metabase, the data we need is made accessible to those at Casai who may not come from a data science background. Thanks to this feature, our data team can send the other teams data from select dashboards at scheduled times, to keep them aware of the real-time data.īy collecting and digesting data at Casai, it enables us to grow as a company. For instance, checking the occupancy for the week ahead on Monday morning. The sooner we detect a double booking or a check-in to an apartment that is still being cleaned, the sooner we can find a solution, before our guest even notices.Įven though certain data isn’t deemed as urgent, it’s still important for it to be available at the right time, as it aids in quickening the decision making process. For this reason, we have alerts set which notify the specific team whenever something unexpected occurs or that requires urgent attention. Most importantly, this can prevent poor guest experiences.

Sometimes the speed at which we receive the data is as vital as the data itself. Set up alerts and send scheduled data insights through emails or Slack We find that this empowers the team to be more agile and precise in their decision making.Ĥ. This gives us an entire overview of our business and makes the necessary data available and easy to understand to those at Casai who may not have a data science background.

Once the data team has gone through the process of collecting, storing and structuring the data generated by day-to-day operations-or gathered from external sources-we’re ready to create dynamic and interactive visualizations, alerts and dashboards. All of our team members have access to our data, so they are able to drive change, optimize processes, adapt to new market conditions as fast as possible, and use key data points to influence supply decisions. To accomplish a data-driven culture throughout the entire company, it’s critical for us to make data accessible to all teams at all skill levels. Our obsession with data goes beyond hiring a fully-stacked data science team. We use our data to grow faster, better and keep guests coming back. Although we are a hospitality company, many people may not realize that we consider ourselves a technology company first. At Casai, one of our core values is to maintain a data-driven culture.
