Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Domo BI & Analytics
Tech Stack
- Data Integration
- Real-time Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Functions
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
- Predictive Quality Analytics
Services
- Data Science Services
About The Customer
Boyne Resorts is a hospitality company that operates ten ski resorts, 14 golf courses, and a scenic chairlift park, in addition to hotels, restaurants, and retail at almost every location. The company is spread across various locations from British Columbia to Maine and strives to provide an exciting experience for each guest during their stay. The company employs 11,000 people and has 350 Domo users.
The Challenge
Before the implementation of Domo, Boyne Resorts faced challenges in accurately tracking the state of the business due to data silos and outdated spreadsheets. The company's understanding of the business was largely based on gut feelings, and by the time reports made their way up to the owner, they were often several months out of date. This lack of real-time data made it difficult for the company to be proactive in its decision-making, often resulting in reactive measures that were not as effective.
The Solution
Domo was implemented as a centralized source for data and insights to drive growth across Boyne Resorts' properties while delivering a winning employee and customer experience. The solution provided real-time data at the business, resort, department, or customer level, allowing users across the C-suite and in operations at each resort to access up-to-date information. Domo's ability to quickly and automatically integrate, clean, and combine datasets enabled business users to be proactive rather than reactive. The solution was also used to optimize how and where Boyne Resorts deployed their labor force throughout the day to keep lift lines short and customers happy. Managers could look at historical data to ensure appropriate staffing levels and use real-time data to identify any surges that required staff to be deployed from one section of the resort to another.
Operational Impact
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