Region
- America
Country
- United States
Product
- Domo
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
CoverHound is an insurance comparison shopping platform based in San Francisco, California. The company was founded in 2010 and offers consumers instant, accurate rates for insurance which they can then purchase. As an online marketplace for personal insurance, CoverHound relies heavily on data to operate its business. The company's operations span across various areas including customer satisfaction measurement, call center operations, and marketing campaigns. The company's leadership, including the CEO, is highly data-driven and values access to real-time, accurate data for decision-making.
The Challenge
CoverHound, an insurance comparison shopping platform, was facing challenges with its data management. The company's important metrics were not available in real time, leading to inefficiencies and delays in decision-making. Employees relied on different reports in different formats, leading to inconsistencies and potential misinterpretations of data. The lack of a unified, real-time data platform was hindering the company's ability to operate efficiently and make informed decisions.
The Solution
CoverHound implemented Domo, a data management platform, to address its challenges. Domo provided real-time, accurate data which was accessible to all employees. The company even projected Domo reports on a 70-inch screen in the office to ensure that everyone was looking at the same metrics. This increased visibility into the company's operations and performance for all employees. The CEO of CoverHound also used Domo's mobile app frequently, indicating the platform's ease of use and accessibility. Domo also proved valuable in investor and board meetings, reducing preparation time by 10-12 hours. The company could answer questions with real-time data, increasing confidence in the meetings.
Operational Impact
Quantitative Benefit
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