创意产业的数据驱动决策
公司规模
Large Corporate
国家
- United States
产品
- GoodData Platform
技术栈
- Cloud-based analytics
- ETL capabilities
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 大数据分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 零售
- 电子商务
适用功能
- 销售与市场营销
- 商业运营
服务
- 数据科学服务
- 系统集成
关于客户
Redbubble 是一家在线全球市场，提供各种独特设计的高品质服装、艺术品和家居装饰产品。该公司正在重新定义全球独立艺术家向消费者营销和分发作品的方式。Redbubble 代表艺术家，允许他们选择如何使用他们的作品以及以什么价格出售，同时通过负责在线营销、付款处理和履行来最大限度地减少相关的物流开销。作为一家快速发展的年轻公司，Redbubble 正在应对涉及其组织所有领域的大量数据。
挑战
作为一家快速发展的公司，Redbubble 需要处理来自其组织各个领域的大量数据。他们认识到这些见解对于保持其在线平台的积极发展轨迹的重要性，但提取它们是一项挑战。该团队花费了宝贵的时间将数据从 RJ Metrics 提取到 Excel 中以构建手动数据透视表。他们还面临着软件局限性的挑战，无法将信息分层在一起并在无数数据点中寻找趋势和因果关系。他们已经到了这样的地步：他们花在处理数据上的时间比用数据做决策的时间还多，这表明需要一种新的解决方案。
解决方案
Redbubble 想要一种分析工具，能够将所有数据整合在一起，使他们能够转换数据并将其加载到单一、可操作的来源中，以便挖掘关键信息。作为一家 100% 基于云的运营公司，他们正在寻找一个不会增加其技术堆栈复杂性的基于云的分析合作伙伴。他们不想聘请团队或开始管理自己的数据中心。在评估其他供应商后，Redbubble 选择了 GoodData，因为它具有出色的 ETL 功能和易用性。在与 GoodData 团队合作确定需求后，Manoj 能够独自管理实施，从短短两周开始在整个组织内迅速推广。该解决方案首先引入运营部门，然后是销售和营销部门。最终，Redbubble 能够将过去分散的六个不同数据源合并为一个单一的事实来源，以支持明智的决策。
运营影响
数量效益
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