Software AG Case Studies Nielsen: Customer Service Award Winner

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	Nielsen: Customer Service Award Winner Software AG

Nielsen: Customer Service Award Winner

Software AG

Technology Category	Analytics & Modeling - Big Data Analytics Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries	Retail
Applicable Functions	Business Operation
Services	Data Science Services
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Applicable Industries

Retail

Applicable Functions

Business Operation

Services

Data Science Services

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.

About 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.

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.

Impact #1	Operational coding productivity has seen a drastic improvement.
Impact #2	Users are no longer working with slow or queries prone to timing out.
Impact #3	Coded products are produced more quickly and delivered to downstream systems more effectively.

Impact #1

Operational coding productivity has seen a drastic improvement.

Impact #2

Users are no longer working with slow or queries prone to timing out.

Impact #3

Coded products are produced more quickly and delivered to downstream systems more effectively.

Benefit #1	BigMemory’s in-memory store is refreshed with 200GB of fresh content every 24 hours.

Benefit #1

BigMemory’s in-memory store is refreshed with 200GB of fresh content every 24 hours.

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Overview

Nielsen: Customer Service Award Winner

Operational Impact

Quantitative Benefit