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Databricks > 实例探究 > Butcherbox 如何利用 Databricks Lakehouse 平台实现业务转型
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Leveraging Data Insights for Personalized Customer Experience: A Case Study on ButcherBox

技术
  • 功能应用 - 库存管理系统
  • 平台即服务 (PaaS) - 应用开发平台
适用行业
  • 水泥
  • 电子商务
适用功能
  • 销售与市场营销
  • 仓库和库存管理
用例
  • 库存管理
  • 供应链可见性(SCV)
服务
  • 测试与认证
挑战
作为一家年轻的电子商务公司,ButcherBox 面临着数据孤岛以及对战略和营销决策所需的关键见解的可见性有限等挑战。他们还努力及时提供报告和准确的见解。
关于客户
ButcherBox 是一家电子商务公司,提供按月订阅的模式,为客户提供新鲜的肉类和海鲜。他们的客户群不断增长,需要改善供应链运营和预测需求。
解决方案
ButcherBox 在 Azure 上部署了 Databricks Lakehouse 平台,以统一其数据并使其易于访问以进行快速分析。他们使用 Delta Lake 作为所有数据的单一事实来源,并利用 Databricks SQL 实现数据仓库功能。该平台的协作性质可以简化团队合作并生成富有洞察力的仪表板。
运营影响
  • The deployment of the Databricks Lakehouse Platform has fundamentally changed the way ButcherBox operates and thinks about its member base and their behavior. With data at their fingertips, the company is more confident in using the most recent and complete data to feed their Power BI dashboards and reports. The platform's collaborative nature has streamlined teamwork, enabling the generation of insightful dashboards on the fly and facilitating cooperation to move the business forward. The company can now quickly and effectively address issues, explore more ways to leverage data to solve complex business challenges, and better understand their customers' needs and preferences. This has led to improved decision-making, better customer service, and increased operational efficiency.
数量效益
  • The company can now query a table of 18 billion rows in just 3 minutes, a task that would have been problematic with a traditional platform.
  • The company was able to address logistical and delivery issues 10x faster, saving tens of thousands of dollars.
  • The company can now effectively manage and analyze data from hundreds of thousands of subscribers.

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