技术
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 水泥
- 金融与保险
适用功能
- 维护
用例
- 租赁金融自动化
关于客户
YipitData 是使用替代数据获得见解的值得信赖的来源。该公司的产品团队每天分析数十亿个数据点,提供精细的见解,推动数百家投资基金和高度创新的公司做出成功的决策。随着公司开始快速发展,它在扩展其分析活动方面面临着挑战,这些活动在数十个 Amazon Redshift 集群上运行。为了克服这些挑战,YipitData 迁移到 Databricks Lakehouse 平台,并开始使用 Fivetran 将数据从各种 SaaS 平台提取到 Databricks 中。
挑战
YipitData 是使用另类数据的值得信赖的洞察来源,在开始快速增长时面临着重大挑战。该公司的分析活动在数十个 Amazon Redshift 集群上运行,公司内的每个团队都维护自己的集群。这种安排变得很麻烦,尤其是当 YipitData 需要跨团队共享公共数据集时。该公司的产品团队每天分析数十亿个数据点,提供精细的见解,推动数百家投资基金和高度创新的公司做出成功的决策。然而,现有系统正在减慢分析速度,使公司难以保持市场领先地位。
解决方案
YipitData 迁移到 Databricks Lakehouse 平台,为其产品分析师创建自助数据平台。该公司还开始将收入运营和财务等运营团队引入 Databricks。为了将 20 个 SaaS 平台的数据提取到 Databricks 中,YipitData 使用 Fivetran,使运营团队能够在无需工程师参与的情况下访问原始数据。该公司还将 NetSuite 与 Databricks 集成,帮助其财务团队克服报告限制并以更少的手动工作获得更好的信息。随着 YipitData 的不断发展,它计划让每个人都能够使用 Databricks 和 Fivetran 用数据回答问题,从而成为一个以数据为中心的组织。
运营影响
数量效益
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