Alteryx > 实例探究 > 安利的敏捷转型：几分钟内更新产品层次结构

安利的敏捷转型：几分钟内更新产品层次结构

技术

服务

关于客户

安利是世界上最大的直销公司，生产和销售营养、美容、个人护理和家居产品。他们仅通过安利独立企业主 (IBO) 在 100 个国家/地区销售其产品。

挑战

安利需要每天更新其产品层次结构，但他们最初的基于桌面的模型速度缓慢且不可持续。他们改用的虚拟化解决方案需要太多的手动工作以及与工程团队的沟通，使其不灵活且效率低下。

解决方案

安利将其数据迁移到 Google Cloud BigQuery，并将 Dataprep 实施为自助数据工程技术。此转换允许更快地更新产品层次结构，将时间从 2-3 天减少到仅 5-7 分钟。分析师现在可以直接进行更改，而无需依赖工程师，并且通过清晰的审计跟踪和数据沿袭，层次结构的可见性得到了提高。

运营影响

The transition to Google Cloud BigQuery and Dataprep has resulted in a more streamlined and agile product hierarchy for Amway. The company can now quickly respond to new changes each day, improving its operational efficiency. The ease of use of Dataprep has allowed analysts to easily obtain product hierarchy data and make direct changes without the need for constant communication with engineers. This has freed up the engineering team to focus on more complex deliverables instead of responding to data requirements. Additionally, the improved visibility into the product hierarchy with clear audit trails and data lineage has enhanced the company's ability to strategize and make informed decisions.

数量效益

99% faster to update product hierarchy
Reduced time spent making changes to its product hierarchy from 2-3 days down to 5-7 minutes
450 Products managed daily