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实例探究 > Largest UK retailer turns to Rosslyn for spend visibility

Largest UK retailer turns to Rosslyn for spend visibility

技术
  • 分析与建模 - 预测分析
  • 应用基础设施与中间件 - 数据交换与集成
  • 应用基础设施与中间件 - 数据可视化
适用行业
  • 零售
适用功能
  • 商业运营
  • 采购
服务
  • 数据科学服务
  • 系统集成
挑战
The challenge – and the opportunity – was achieving, for the very first time, complete visibility of more than 10,000 suppliers including related contracts from massive amounts of data stored in disparate internal sources.
关于客户
Rosslyn was chosen to provide easy-to-use self-service spend analytics to one of the largest retailers in the United Kingdom. The insight that would be derived from this strategically important business initiative would enable procurement to deliver significant cost and efficiency savings for the entire organisation.
解决方案
Engagement began by automating the extraction of millions of rows of data, initially from a single SAP source, with additional systems to follow. This data, including supplier contracts, was then loaded into the Rosslyn Platform for transformation. AI and machine-learning technologies then cleaned and enriched the source data. Rosslyn worked collaboratively with the client to develop bespoke taxonomies for the procurement department. A key output from these sessions was the development of custom dashboards to support the reporting and analysis of purchasing in 130 currencies.
运营影响
  • The procurement department obtained line-item-level spend visibility in only a few weeks. With over 7,000 business rules in the platform, they now benefit from efficient classification and continuous management of data for accurate analysis and reporting by, and for, platform users.
  • With monthly refreshes, they can now centralize all spend-related data into a single view, including spend analytics, contract management, and supplier performance intelligence.
  • They also benefit from 99% level categorization, which allows for informed and effective buying decisions. Business users can re-categorize data in real time. These and all other changes to data are captured in an audit trail to ensure complete data governance.
数量效益
  • £5.5m in potential savings by improving payment terms.

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