Alteryx > 实例探究 > PDPAOLA 通过 Google Cloud Dataprep 增强分析和可扩展性

PDPAOLA 通过 Google Cloud Dataprep 增强分析和可扩展性

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技术
  • 应用基础设施与中间件 - 数据可视化
  • 平台即服务 (PaaS) - 应用开发平台
适用行业
  • 水泥
  • 零售
用例
  • 租赁金融自动化
  • 零售店自动化
服务
  • 云规划/设计/实施服务
  • 培训
关于客户
PDPAOLA Jewelry 是一家成立于 2014 年的在线珠宝公司。他们的目标是通过创造力和商业专业知识的结合来颠覆珠宝行业。
挑战
PDPAOLA 是一家在线珠宝公司,需要更深入地了解其产品的利润率,以便在市场上脱颖而出。然而,在 Google Cloud 上使用 SQL 构建数据管道不可扩展,并且需要大量时间和资源来雇用和培训新开发人员。
解决方案
PDPAOLA 选择 Google Cloud Dataprep 来提高自动化程度和可扩展性。他们使用 Stitch 来提取数据源,使用 Dataprep 来清理和构建 BigQuery 中的数据,并使用 Google Data Studio 来进行可视化和报告。 Dataprep的可视化数据流使新员工能够快速了解数据管道策略。
运营影响
  • The implementation of Google Cloud Dataprep has brought about significant operational benefits for PDPAOLA. The company has increased its scalability, with just one employee now able to build and automate many different data pipelines. This has reduced the need for hiring additional staff, saving both time and resources. Furthermore, the visual data flows provided by Dataprep allow new employees to quickly get up to speed on data pipeline strategy. The ability to transform diverse data sources has also enabled PDPAOLA to gain more granular insights into its business, leading to smarter and more precise decision-making.
数量效益
  • With Dataprep, one employee can build and automate many different data pipelines.
  • Dataprep reduces downtime and associated costs by allowing for quick identification and remediation of issues.
  • Dataprep enables PDPAOLA to transform diverse data sources for robust reporting in Data Studio.

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