The data enterprise team at GoDaddy deals with an influx of 13 terabytes per day: everything from website traffic metrics to customer purchase histories and internal statistics. Prior to the new solution, Sharon recalls how processes made data access slow, confusing, and frustrating for analysts at GoDaddy.
“Our power users who may not be intimately familiar with the data didn’t know where to find the appropriate data for their analytics, or, if they did know where it was, they were not sure how to use it to meet their needs,” Sharon says
This new platform signaled a shift towards self-service analytics at GoDaddy. “By creating a self-service environment,” Sharon says, “GoDaddy product managers and business users can leverage data to create a better customer experience and find and design the product that will meet their needs by identifying trends and anticipating issues.”
Now that users can find the analytics they need, they spend less time searching for data and more time improving processes, resulting in a better product experience for their 17 million customers.
Product managers and functional teams use Tableau dashboards to identify trends and spot potential issues before they arise. With data at their fingertips, they can dig into website trends and email campaigns to optimize product development.
“By putting data in our end users’ hands, they then had the ability to quickly pull together their own base-level reporting,” Sharon explains. “If we see shoppers dropping out of the process at a given point, we can go in and relook at that flow to see if there’s a better approach. These individuals were closest to the products and application changes and could quickly identify where something may need adjustment."