Dwolla is an e-commerce company that provides online payment solutions with the click of a button. The company mission is to help members move money quickly while keeping costs low.
Dwolla adopted Tableau as a low-maintenance way to interpret data and provide immediate insights.
In video 1, Fred Galoso, Software Developer, talks about how Tableau can connect directly to multiple data sources, like Amazon Redshift, Amazon Elastic MapReduce (EMR), Microsoft SQL Server, MySQL, and PostgreSQL. Tableau’s ability to quickly pull data allows them to move from time-consuming spreadsheets to powerful dashboards.
In video 2, Fred describes how report creation was once an IT-intensive process that required a lot of engineering resources. With Tableau, they can author dashboards and spot trends—in a couple of hours instead of weeks. Today, teams at Dwolla use Tableau to analyze customer demographics, manage product development, and detect fraudulent activity.
Tableau: What attracted you to Tableau?
Fred Galoso, Software Developer: Tableau's ability to connect with Amazon Redshift, to connect with Amazon RDS, to be able to tap into our elastic MapReduce services, that's a big part of why we picked Tableau— is its ability to connect to all those different data sources.
Tableau: What is the benefit of using a cloud computing service like AWS?
Fred: Our move to Amazon Web Services was to keep up with demand and scale up our infrastructure. About a year after, we came to the realization that we have, as part of that demand, all this data now as a side effect that we need to process. So we've been leveraging a lot of Amazon's products to store, process and have that data at least available at scale. Tableau came in after that to be something to surface that and bring those insights to the forefront.
We’re a small, fast-moving company. And it's all about reducing time to insights for us. So both using Amazon Web Services to be able to scale up very quickly and on-demand, but also to respond to all the different data questions that we may have, and really being able to answer what-if as quickly as possible.
Tableau: Was cost a factor when choosing a data solution?
Fred: Total cost of ownership was one of the main reasons we moved to AWS, and in conjunction with that, Tableau. So with AWS specifically, we're able to store data and also process that data at scale for a fraction of the cost of some other commercial providers that are out there. And then Tableau, of course, is a natural fit and saves us a lot of time, effort and engineering resources to be able to create those insights.
Tableau: So time to insights was particularly important to you?
Fred: If we look at our mission, for example, of moving money as quickly and as low a cost as possible, both AWS provides us the speed in terms of our infrastructure, and from an organizational standpoint the flexibility to change. With Tableau we also get that speed. It's really performant, but it's also really flexible and really easy to adapt anything that we need to change to.