Company Size
1,000+
Region
- America
- Europe
Country
- Netherlands
- United States
Product
- Terracotta BigMemory
- Quartz
Tech Stack
- In-memory data management
- Search API
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Retail
Applicable Functions
- Business Operation
Services
- Data Science Services
About The Customer
Nielsen is a leading global information and measurement company that provides market research, insights and data about the watching and buying habits of an estimated 10 million global consumers. Ad agencies and brand marketers rely on Nielsen’s measurement tools to understand the effectiveness of advertising campaigns, competitor’s activities, and to understand return on their investments. The company has a presence in approximately 110 countries with headquarters in New York, USA and Diemen, the Netherlands.
The Challenge
Nielsen, a global information and measurement company, was facing a challenge with its operations. The company's operations had to wait for up to 20 seconds to view product details and between transactions. They were using a fat client application over a terminal server or 'green screens' to characterize a product. The increasing speed and globalization of business necessitated the replacement of the regionally silo’d fat clients/green screens systems with a highly performing, single global platform delivering globally aligned product information.
The Solution
To improve operational productivity and enable globally aligned reference data, Nielsen looked to Terracotta BigMemory & Quartz as core components. This in-memory data management solution accelerates data access and effectively manages fast-flowing, rapidly growing product reference data. Every 24 hours, BigMemory’s in-memory store is refreshed with 200GB of fresh content. The data is simultaneously written to a database. The new platform makes extensive use of BigMemory’s simple and powerful Search API, supporting complex, high-performance queries on large in-memory datasets fundamental to product coding processes.
Operational Impact
Quantitative Benefit
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