公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Domo
技术栈
- Data Integration Software
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Revenue Growth
技术
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 汽车
适用功能
- 销售与市场营销
- 商业运营
用例
- 预测性维护
服务
- 数据科学服务
关于客户
西尔斯汽车中心是西尔斯的汽车服务部门,西尔斯是一家仍然占据主导地位的零售巨头,在北美拥有广泛的零售和服务网络。汽车中心在美国各地经营着大约 650 个服务中心,提供换油、尾灯维修、轮胎换位和电池更换等服务。2014 年,该部门面临销售额和利润率下降的问题。西尔斯汽车中心部门总裁 Brian Kaner 必须面对这些严峻的现实,并找到扭转业务的方法。
挑战
2014 年,西尔斯汽车中心面临销售额和利润下滑的问题。该公司拥有有用的运营数据,但这些数据不一致、难以分析且容易被误解。运营绩效(尤其是区域零售层面的运营绩效)难以分析。不同的管理层有不同的报告,甚至共享的数据也容易被误解。在竞争激烈的商业环境中,静态的月度报告不够动态,不足以让西尔斯汽车中心对市场区域趋势做出反应。当某个地点的业务陷入困境时,如果无法就数据所反映的内容达成一致,那么解决问题将非常困难。
解决方案
为了应对这些挑战,Brian Kaner 与来自 Stanley/Black & Decker 组织的 Joe Richards 合作。他们最初的目标是通过数据集成软件(在本例中为 Domo)为 Sears Auto Center 建立“单一事实来源”。在几个月的时间里,他们与 Domo 顾问合作,设计并部署了一个数据集成解决方案,该解决方案从现有系统(包括人力资源、POS、财务和在线系统)中提取数据。Domo 的部署凸显了他们曾怀疑但在此之前无法确定解决的运营瓶颈、限制和差距。他们研究了周期时间、员工生产力甚至零售产品组合数据。
运营影响
数量效益
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