Can placing bets on self-service create a more competitive organization?
Company Size
1,000+
Region
- Europe
Country
- Germany
Product
- Domo
Tech Stack
- Business Intelligence
- Data Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Predictive Quality Analytics
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
Tipico is the largest sports-betting operator in Germany, processing more than 500 million bets each day through its website and 1,100 retail locations. The company relies heavily on data to operate its business, making it essential to have a robust and efficient data management system. The company has over 6,000 employees and more than 200 Domo users across various departments, including marketing, the sportsbook, customer service, payments, fraud prevention, and retail. The company's retail unit, with 1,100 stores, is the most significant challenge to manage and the unit where there's the most opportunity to impact the company’s performance.
The Challenge
Before Domo, Tipico’s BI department found itself bogged down with roughly 100 ad hoc report requests a month. Each report would take 9-12 hours to create; this unplanned request would not only consume an analyst’s day and distract her from her other work but would also slow down other departments as they waited for their reports. And in an industry where the action moves by the minute, twelve hours is an eternity. Tipico also needed a way to access data on the go through smartphones and tablets. When an executive is attending a match or watching a game at home, she can easily go into Domo to see Tipico’s betting exposure for any game or bet.
The Solution
Adrian Vella, head of data and BI at Tipico, turned to Domo to give his organization the ability to deliver proper self-service BI. “Our business users can now go in and create their own charts, their own data exploration, their own alerts. Basically, they can be their own BI developers,” he said. As a result, Vella was able to reduce ad hoc report requests by 50%. In addition to self-service BI, Domo gave Tipico the ability to access data on the go through smartphones and tablets. “We couldn’t find another BI tool that had the native mobile functionality of Domo,” said Vella. “Now we can see our bets in real time as games are happening from anywhere, which is my absolute favorite feature.”
Operational Impact
Quantitative Benefit
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