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The National Association of REALTORS® Brokers Value for Members with DataRobot
技术
- 分析与建模 - 预测分析
适用功能
- 商业运营
- 销售与市场营销
用例
- 预测性维护
服务
- 数据科学服务
挑战
全国房地产经纪人协会 (NAR) 是美国最大的行业协会，代表着全国 140 多万会员。其会员包括经纪人、销售人员、物业经理、顾问以及从事房地产行业各个方面的其他人员。由于会员背景各异，职业兴趣各异，每个人都希望从会员资格中得到不同的收获，因此要想为他们创造价值，NAR 必须真正了解其会员。为此，NAR 求助于数据。然而，该协会正试图变得更加以数据为导向，因此专注于更高层次的目标，例如更好地了解其会员并解决影响其会员的业务问题。但由于这两位数据科学家的运作方式——没有集中的团队或适当的资源——围绕数据科学项目的沟通和反馈循环效率低下，并对数据科学家创造价值的能力产生了负面影响。
关于客户
全国房地产经纪人协会是美国最大的行业协会，代表全国 140 多万会员。其会员包括经纪人、销售人员、物业经理、顾问以及从事房地产行业各个方面的其他人员。其目标是确保其会员处于房地产行业的最前沿，影响公共政策，教育客户了解新兴技术、房地产市场和最佳实践，并改善他们所居住的社区。由于会员背景各异，职业兴趣各异，每个人都希望从会员资格中得到不同的回报，因此，要想为他们创造价值，NAR 必须真正了解其会员。
解决方案
NAR 评估了各种数据科学和机器学习工具，这些工具既可以提高他们的生产力，又可以增强整个 NAR 的 AI 采用率。他们最终与 DataRobot 进行了概念验证，使用测试用例来预测哪些成员最有可能参加该协会的 REALTORS® 会议和博览会，这是最活跃的房地产专业人士的最大年度活动。该团队的目标是确定最有可能参加会议的成员群体，并在营销和传播团队的支持下鼓励这些成员参加并查看会议上提供的教育和交流机会。Aleksandar 的团队使用 DataRobot 的企业 AI 平台大幅提高数据科学的生产力和效率，构建和部署预测模型，帮助 NAR 做出更优化的决策，并最终更好地为其成员服务。
运营影响
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