ClearScore Becomes Driven by Data Thanks to Domo
Customer Company Size
Mid-size Company
Region
- Europe
- Africa
- Asia
Country
- United Kingdom
- India
- South Africa
Product
- Domo
Tech Stack
- Data Visualization
- Data Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
- Predictive Quality Analytics
Services
- Data Science Services
About The Customer
ClearScore is a company that was launched in 2015 with the mission to help people achieve greater financial wellbeing. The company aims to provide everyone with access to their credit score and report for free, forever. As a startup, ClearScore began to expand internationally from the UK to developing countries like South Africa and India. The company aspired to be a data-driven organization, but it was finding that the story its own data was trying to tell was anything but clear. ClearScore has 120 users and generates $55M in revenue.
The Challenge
ClearScore, a startup launched in 2015, aimed to provide free access to credit scores and reports for everyone. However, as the company expanded internationally, it faced challenges in understanding and interpreting its own data. Daily reporting had become complex and difficult to understand, and the company aspired to be data-driven but lacked a clear path to achieve this goal. The company wanted to make data accessible across the organization, enable self-serve reporting, free up time for data science, and provide a deeper understanding of the business.
The Solution
ClearScore chose Domo as a solution because it was easy for everyone in the organization to use. Domo was chosen to break down silos between departments and make data accessible to everyone in the organization. Domo's easy-to-use tool allowed ClearScore's employees to understand the business better and find information themselves. This freed up time for data science initiatives such as building credit risk or eligibility models in developing markets. These models will help ClearScore build new products that can empower its users to be smarter when applying for and managing credit.
Operational Impact
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