Rapid7 Case Study
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Domo
Tech Stack
- Data Analytics
- Data Management
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Functions
- Business Operation
Services
- Data Science Services
About The Customer
Rapid7 is a leading provider of security data and analytics solutions based in Boston, Massachusetts. The company enables organizations to implement an active, analytics-driven approach to cyber security. They pride themselves on being data-driven and aim to provide the most relevant and up-to-date security data to their clients. However, they were facing challenges in managing their data efficiently and needed a solution that could integrate with their existing systems and provide access to the same data across the organization.
The Challenge
Rapid7, a leading provider of security data and analytics solutions, was facing challenges with their data management. Despite being a data-driven company, they were spending a significant amount of time each month creating recurring reports. This was not only time-consuming but also hindered their ability to innovate and analyze the most relevant data. They needed a reliable data management platform that could integrate seamlessly with their existing systems and provide access to the same data across the organization.
The Solution
Rapid7 implemented Domo, a data management platform, to address their challenges. Domo provided a single source of truth for all their data, improving the efficiency of their operations. The platform allowed for improved collaboration as all employees could share information, reference trends, and make data-driven decisions. Domo also provided the flexibility Rapid7 needed, allowing different departments to explore new ways of analyzing information. Furthermore, Domo provided real-time access to critical metrics, ensuring that everyone in the organization had access to the same data sources.
Operational Impact
Quantitative Benefit
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