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Amplitude > 实例探究 > 通过自助分析改进数据治理和扩展:A Kahoot!案例分析
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Leveraging Self-Serve Analytics to Drive Growth: A Case Study on Kahoot!

技术
  • 分析与建模 - 机器学习
  • 平台即服务 (PaaS) - 应用开发平台
适用行业
  • 水泥
  • 教育
适用功能
  • 质量保证
用例
  • 时间敏感网络
  • 基于使用的保险
服务
  • 数据科学服务
  • 培训
挑战
卡胡特!随着公司的发展,需要改进数据治理并启用自助分析来扩展其产品使用数据。
关于客户
卡胡特!是一个全方位的学习平台,在200个国家拥有超过55万付费用户和15亿参与玩家。公司发展迅速,现有员工170余人。
解决方案
卡胡特!实施 Amplitude 来创建自助分析、改进数据治理,并允许整个公司的员工访问和分析产品数据。
运营影响
  • The implementation of Amplitude and the focus on self-service analytics have had significant operational benefits for Kahoot!. The company has been able to remove the data bottleneck, allowing for immediate insights and sparking further curiosity among employees. This has led to a deeper dive into results and increased competence in the field of data analysis across the company. Product managers, engineers, marketers, and the customer support team now feel the need for Amplitude to carry out their jobs. The data has become a critical part of product management, informing decisions and driving growth, loyalty, and adoption. The quality of Amplitude’s UI has also enabled product managers to understand the reasoning behind decisions the way a data scientist would. This has led to improved functionalities and quicker decision-making processes.

数量效益
  • Requests to the data team reduced by about 80% due to the self-service nature of Amplitude.

  • Implementation of a churn model resulted in a 20% drop in churn.

  • Over 150 out of 170 employees use Amplitude for data analysis, with 100 of those being monthly active users.

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