Software AG > 实例探究 > Nielsen: Customer Service Award Winner

Nielsen: Customer Service Award Winner

Software AG Logo
公司规模
Large Corporate
地区
  • America
  • Europe
国家
  • United States
  • Netherlands
产品
  • Terracotta BigMemory
  • Quartz
技术栈
  • In-memory data management
  • Search API
实施规模
  • Enterprise-wide Deployment
影响指标
  • Productivity Improvements
  • Customer Satisfaction
技术
  • 分析与建模 - 大数据分析
适用行业
  • 零售
适用功能
  • 商业运营
服务
  • 数据科学服务
关于客户
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.
挑战
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.
解决方案
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.
运营影响
  • Operational coding productivity has seen a drastic improvement.
  • Users are no longer working with slow or queries prone to timing out.
  • Coded products are produced more quickly and delivered to downstream systems more effectively.
  • Organic data growth and expansion of platform use is simplified.
数量效益
  • BigMemory’s in-memory store is refreshed with 200GB of fresh content every 24 hours.

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

相关案例.

联系我们

欢迎与我们交流!
* Required
* Required
* Required
* Invalid email address
提交此表单,即表示您同意 IoT ONE 可以与您联系并分享洞察和营销信息。
不,谢谢,我不想收到来自 IoT ONE 的任何营销电子邮件。
提交

感谢您的信息!
我们会很快与你取得联系。