Automating Data Collection and Consolidation to Protect Data Integrity
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Vena
- Microsoft Excel
- MBI
- Ligility
技术栈
- Central Data Repository
- Spreadsheet Integration
- Automatic Notifications
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 平台即服务 (PaaS) - 数据管理平台
- 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 - 数据库管理和存储
适用行业
- 消费品
适用功能
- 商业运营
- 质量保证
服务
- 系统集成
- 软件设计与工程服务
关于客户
The customer is a leading manufacturer of consumer goods based in the United States. The company has a large-scale operation with over 1,000 employees. They were manually collecting and consolidating data related to production planning using uncontrolled Excel spreadsheets. This manual process was not only time-consuming but also error-prone, negatively affecting production rates and compromising the company's reputation. The need for a more efficient and accurate data management system was critical to their operations.
挑战
The company faced significant challenges with manual data collection and consolidation, which was time-consuming and prone to errors. The Finance team often received multiple versions of the same spreadsheet, leading to issues with version control. Additionally, the company could not verify the accuracy of data received from overseas suppliers, and the lack of a single source of data prevented consistent decision-making across the organization.
解决方案
Vena provided a comprehensive solution by integrating the company's existing Excel spreadsheets and templates with a central, secure data repository. This eliminated the need for manual data collection and consolidation. Vena's platform automatically updates the spreadsheets and templates when changes are made to the data within the source systems. Additionally, Vena implemented controls to limit end-users' ability to manipulate data that affects production planning. Reminder emails are sent to clients and suppliers if data is not entered by a set timeline, and this data is automatically fed into the supplier's scorecard, enhancing accountability.
运营影响
数量效益
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