Freddy's 与 Domo 合作推出数据科学计划
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Domo Data Science Suite
技术栈
- Data Science
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 数据即服务
适用行业
- 零售
适用功能
- 商业运营
用例
- 质量预测分析
- 供应链可见性(SCV)
服务
- 数据科学服务
关于客户
Freddy's Frozen Custard & Steakburgers® 是一家快速发展的连锁餐厅，在不到二十年的时间里，它从美国中西部中心的一家分店扩展到全美近 400 家分店。该公司以其经典的快餐食品而闻名，但它对数据科学采取了一种绝对现代的方法。尽管 Freddy's 发展迅速，采用了现代方法，但由于缺乏技术和视角，它最初在数据科学之旅中遇到了困难。该公司必须处理 18 个不同的数据集，涵盖了在多个时间点为每个 Freddy's 分店创建的 100 多个不同的信息列，这使得商店质量难以理解和评估。
挑战
Freddy's Frozen Custard & Steakburgers® 从美国中西部中心的一家分店发展到全美近 400 家分店。该公司采用现代数据科学方法。然而，当 Freddy's 首次开始数据科学之旅时，它因缺乏技术和视角而苦苦挣扎。在试点项目失败后，Freddy's 需要不同的合作伙伴和不同的方法来向其领导团队推销该计划。该公司必须处理 18 个不同的数据集，涵盖在多个时间点为每个 Freddy's 分店创建的 100 多个不同的信息列。由于要考虑如此多的单独数据列，商店质量很难理解和评估。
解决方案
作为 Domo 的长期客户，Freddy's 相信 Domo 将是餐厅下一次数据科学尝试的最佳合作伙伴。在与 Domo 经验丰富的数据科学顾问合作后，Freddy's 着手了解他们的餐厅质量数据并使其易于使用。借助 Domo，Freddy's 创建了一个统计上合理的数据缩减流程，以实现自动化并使其门店质量数据易于理解。Domo 的数据科学团队与 Freddy's 合作，充分了解业务实践、餐厅质量指标、餐厅管理餐厅质量的激励措施等。在对业务实践和数据进行全面讨论后，Domo 与 Freddy's 合作开发了一项探索性因子分析，以确定 100 多列餐厅质量数据之间的复杂相互关系。在了解了这些关系后，Freddy's 和 Domo 继续开发定制的验证性因子分析流程，明确考虑 Freddy's 数据和业务模型中的独特属性。然后，该流程在数据科学生产流程中实现自动化，从而促进 Freddy's 数据科学解决方案的完全自动化。
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