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Data Management Transformation in Retail: A Case Study of IJsvogel Retail
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 消费品
- 零售
适用功能
- 质量保证
用例
- 零售店自动化
- 盗窃检测
服务
- 测试与认证
挑战
IJsvogel Retail 是一家拥有近 130 年历史的荷兰宠物和园艺产品连锁店,该公司正在努力应对管理和利用其庞大且分散的数据的挑战。该公司拥有 180 多家商店、1,600 多名员工和 800 多名批发客户,生成了大量数据。然而,这些数据并未被有效利用来为业务决策提供信息。相反,旧的数据和日志文件经常被丢弃而不是编译和分析。该公司规模较小的 IT 部门发现很难在整个公司内推广新应用程序的采用。缺乏统一、可靠和稳定的数据源阻碍了公司做出明智的业务决策的能力。
关于客户
IJsvogel Retail 是一家荷兰宠物和园艺产品零售连锁店,拥有近 130 年的经验。该公司最初拥有一个品牌 Boerenbond,专注于供应花园、家居和户外生活产品。四十年前,该公司扩大规模,以 Pets Place 品牌提供宠物用品,目前该品牌是荷兰同类产品中规模最大的。 IJsvogel Retail 拥有 1,600 多名员工,为 180 家商店和 800 多家批发客户提供服务。该公司依靠全渠道战略,并计划利用其改进的数据图片来扩大客户范围并专注于建立忠诚度计划。
解决方案
IJsvogel Retail 求助 Fivetran 来解决其数据管理挑战。 Fivetran 使该公司能够将所有数据整合到一个数据仓库中,为所有运营和客户行为创建单一事实来源。这些标准化的实时数据为公司提供了可靠的信息,使其能够更有效地规划运营。 Fivetran 的实施不仅简化了 IT 部门的工作,还加快了上市时间。托管、自动化数据流的引入节省了工程团队数周的时间,使他们能够专注于全局而不是维护管道。新的数据架构注重可操作性,对风险管理、业务规划、运营效率和基础设施管理产生积极影响。数据的民主化使所有业务部门能够使用相同的信息进行自己的探索,并更加主动和创造性地利用它。
运营影响
数量效益
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