Market Intelligence Company Enhances Analytics Capabilities with Firebolt for Segment Analytics
Customer Company Size
Large Corporate
Country
- United States
Product
- Firebolt
- Elasticsearch
- BigQuery
Tech Stack
- SQL
- AWS Lambda
- REST APIs
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Software
- Professional Service
Applicable Functions
- Business Operation
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
About The Customer
The customer is a leading market research technology company that provides digital market intelligence about millions of websites and mobile apps to thousands of clients worldwide. They capture a wide range of online information, including ad, search, and website traffic, and consolidate it into fast, interactive analytics. The company serves a diverse clientele, offering insights that help businesses understand market trends, customer behavior, and competitive landscapes. Their services are crucial for clients looking to make data-driven decisions and optimize their digital strategies. The company is known for its innovative approach to market research and its ability to deliver comprehensive analytics solutions.
The Challenge
The company faced limitations with its homegrown analytics solution, which restricted its offering and market growth. The existing system was fast for specific queries but limited in the types of analytics and data size it could support. Onboarding new customers was challenging and time-consuming due to the need for extensive customization. Adding new analytics features required significant custom work, and scalability issues limited data sizes and types of analytics. The company evaluated various solutions, including Elasticsearch and BigQuery, but found them either too expensive or not suitable for their needs.
The Solution
The company adopted Firebolt for segment analytics, allowing them to better understand customer behavior, preferences, loyalty, and cross-selling opportunities. They now manage over 200TB of customer data in Firebolt, which has increased as they add data previously unsupported by their old solution. The use of SQL for ELT processes and REST APIs for accessing analytics has significantly improved their agility. Firebolt's native support for JSON and lambda array functions in SQL enabled faster customer onboarding and personalization. The company can now roll out new analytics features in days instead of months, thanks to Firebolt's flexibility and performance. The decoupled storage and compute architecture of Firebolt allows for efficient data management and faster query performance, supporting the company's need to scale and provide better service to its customers.
Operational Impact
Quantitative Benefit
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