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Data Reliability Supports Real-time Reporting & Analytics for Bing Lee
技术
- 应用基础设施与中间件 - 数据交换与集成
- 功能应用 - 企业资源规划系统 (ERP)
适用行业
- 电子产品
- 零售
适用功能
- 质量保证
- 销售与市场营销
用例
- 库存管理
- 零售店自动化
服务
- 数据科学服务
- 系统集成
挑战
澳大利亚消费电子零售连锁店 Bing Lee 在复杂的数字化转型项目中面临着整合业务数据的重大挑战。该公司的旧版 ERP 已成为高度定制的系统,依赖于单点故障。其数据是非结构化的,有问题的流程导致系统生成的数据不可靠。 Bing Lee 投资了新的基于云的 ERP 并开发了自己的销售点 (POS) 系统。还选择了新的报告工具来改善员工的用户体验。然而,由于 Covid-19 大流行,向新 ERP 的过渡放缓,该公司的销售额和交易数量大幅增长,从而增加了通过其系统的数据量。
关于客户
Bing Lee 是一家消费电子零售连锁店,在澳大利亚新南威尔士州拥有超过 35 家商店。 Bing Lee 是一家家族企业,成立于 1957 年,以价格实惠而闻名,其电台歌曲已成为当地流行文化的一部分。其年营业额近5亿澳元。尽管是一家传统的家族企业,Bing Lee 认识到需要与时俱进,并开始进行技术转型。该公司投资了新的基于云的 ERP 并开发了自己的销售点 (POS) 系统。还选择了新的报告工具来改善员工的用户体验。
解决方案
Bing Lee 决定使用 BizCubed 的数据工程和支持平台 (DEEP) 进行数据管理,并使用 Hitachi Vantara 的 Pentaho 数据集成(Pentaho 平台套件的一部分)作为 ETL 设计和编排的引擎。该解决方案以服务形式提供,使 Bing Lee 能够根据业务节奏不断更新其数据处理。项目团队使用 Pentaho 生成 ETL 流程,成功合并和混合来自两个 ERP 解决方案和超过 45 个不同 API 源的日常报告数据。 BizCubed 的方法提供了一个用于快速数据采集、监控、恢复和治理的框架。这意味着 Bing Lee 每天都可以对其数据的可靠性和可访问性充满信心。
运营影响
数量效益
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