利用自动化机器学习加速预测分析过程
公司规模
Mid-size Company
地区
- America
国家
- United States
产品
- Evariant CRM solutions
- DataRobot platform
技术栈
- Amazon Web Services (AWS)
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 医疗保健和医院
适用功能
- 产品研发
- 销售与市场营销
用例
- 质量预测分析
- 预测性维护
服务
- 数据科学服务
关于客户
Evariant 成立于 2008 年，现已成为医疗保健提供商市场增长最快的 SaaS 公司之一。该公司提供一套创新的 CRM 解决方案，帮助医疗保健系统确定和执行最重要的战略增长计划，包括患者参与、医生协调以及优化和创新的营销。Evariant 认为，技术和创新可以增强患者和医疗保健提供商之间的联系，并最终彻底改变医疗保健服务提供和营销的方式。
挑战
Evariant 是医疗保健提供商市场中一家快速发展的 SaaS 公司，它提供一套创新的 CRM 解决方案，帮助医疗保健系统确定并执行最重要的战略增长计划。然而，该公司在构建和部署预测分析方面面临挑战，这可能既昂贵又耗时。他们的医疗保健数据非常复杂，需要高水平的动手数据准备，这使得他们现有的解决方案虽然足够，但并非最佳。他们需要高质量的预测分析，这种分析可以自动和半自动生成，并且具有极高的可靠性和有效性。
解决方案
Evariant 与 DataRobot 合作，实现预测分析流程的自动化和半自动化，从而加快模型构建速度并延长部署生命周期。托管在 Amazon Web Services (AWS) 上的 DataRobot 平台实现了这种自动化。此次合作在自动化环境中产生了数千个经过验证的预测模型。Evariant 团队能够使用协作且复杂的交叉验证框架选择统计上最可靠、最有效和最合适的模型结果。从 Evariant 正在创建和部署的模型数量可以看出结果——几乎是以前速度的 10 倍。
运营影响
数量效益
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