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Databricks > 实例探究 > 数据分析大众化:Aktify 如何利用 Databricks 和 dbt 来转化客户
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Boosting Customer Conversion with Conversational AI: A Case Study on Aktify

技术
  • 平台即服务 (PaaS) - 应用开发平台
  • 机器人 - 并联机器人
适用行业
  • 水泥
  • 公用事业
适用功能
  • 销售与市场营销
用例
  • 时间敏感网络
服务
  • 数据科学服务
挑战
Aktify 需要通过分析大量数据并发现被忽视的见解来微调其对话式 AI 代理。然而,复杂的数据依赖性和缺乏数据民主化阻碍了高效的数据分析。
关于客户
Aktify 是一家通过对话式人工智能帮助客户转化客户的公司。他们使用对话式人工智能代理同时与销售前景进行数千条短信对话。 Aktify 的客户产生了可观的收入并实现了高投资回报率。
解决方案
Aktify 实施了 Databricks Lakehouse 平台和 dbt,以简化和民主化其数据管理。 Databricks 提供可靠的性能和时间旅行功能,而 dbt 使数据转换更容易、更可靠。这使得 Aktify 能够简化数据分析并做出更明智的决策。
运营影响
  • The implementation of Databricks Lakehouse Platform and dbt has significantly improved Aktify's operational efficiency. The company has been able to democratize data throughout its organization, allowing stakeholders to make better-informed decisions. The solution has also reduced the risk associated with data transformations, making data in production accessible to anyone on Aktify’s staff. The time travel functionality of Delta Lake on Databricks has streamlined troubleshooting, enabling Aktify to roll out new functionality releases more quickly. Furthermore, the use of Databricks Utilities and a one-click Tableau connector in Partner Connect has simplified the process of finding insights and creating dashboards, respectively. Overall, Aktify is getting better data processing performance from a simpler technology footprint.
数量效益
  • 80% reduction in data engineering hours, reducing costs
  • 95% reduction in time to onboard new employees
  • Six-figure annual savings in IT head count costs

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