Fiverr Turns to Sisense to Get the Fastest Refresh Rates
Customer Company Size
Mid-size Company
Region
- America
- Asia
- Europe
Country
- United States
- Israel
- Netherlands
Product
- Sisense ElastiCube
- Sisense Dashboards
Tech Stack
- MySQL
- Google Docs
- Google Spreadsheets
- Google Analytics
- Hadoop
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
Technology Category
- Analytics & Modeling - Real Time Analytics
- Analytics & Modeling - Big Data Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- E-Commerce
Applicable Functions
- Business Operation
- Product Research & Development
- Sales & Marketing
Use Cases
- Process Control & Optimization
- Real-Time Location System (RTLS)
Services
- System Integration
- Software Design & Engineering Services
About The Customer
Fiverr is a global online services marketplace offering services starting at five dollars and going up to thousands of dollars. With close to 4 million services and offices in New York, Tel Aviv, Miami, Los Angeles, and the Netherlands, Fiverr is transitioning from a startup to a full-fledged corporation. The company employs 170 people and has a dedicated team of data analysts for BI. Fiverr uses Sisense Business Intelligence for reporting across all departments, including product, marketing, PR, business development, and upper management. The company’s strength lies in its ability to develop features that its audience needs and loves, using BI as a fundamental element of their development process.
The Challenge
Fiverr needed quick insights on growing data. The company wanted to connect data from MySQL with data from Google Docs, Spreadsheets, and Analytics to better track user actions on their website and mobile app. As users increased, so did Fiverr’s data needs, making it larger and more complex with millions of rows a day from various sources. Despite using an internal big data system based on Hadoop, the data complexity made it difficult for the team to build reports and dashboards quickly. Fiverr’s senior BI director, Slava Borodovsky, emphasized the need for real-time results due to the dynamic nature of their data. The product department relied heavily on BI to determine their product roadmap, making the need for data more urgent as departments began understanding its impact on their success.
The Solution
Fiverr chose Sisense over traditional BI vendors due to its ease of use and ability to handle large, complex data sets. Sisense enabled Fiverr to combine multiple large data sources and gain complete transparency into their website and mobile app activities. The platform allowed Fiverr to run reports with over 20 queries and see real-time results within seconds. Sisense’s ElastiCube made it easy to manage data with almost zero maintenance. The platform’s drag-and-drop feature for joining data sources enabled company-wide adoption, allowing all departments to independently build reports and dashboards. Sisense dashboards are displayed on TV monitors across all departments, increasing awareness and motivation to meet goals.
Operational Impact
Quantitative Benefit
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