球衣重要吗？| NBA 如何使用 Domo 估算收视率
公司规模
Mid-size Company
地区
- America
- Asia
国家
- United States
- China
产品
- Domo
技术栈
- Data Science
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Customer Satisfaction
技术
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
适用行业
- Professional Service
适用功能
- 销售与市场营销
- 商业运营
用例
- 质量预测分析
- 实时定位系统 (RTLS)
服务
- 数据科学服务
关于客户
美国职业篮球协会 (NBA) 是北美的一个职业体育联盟，由 30 支球队组成。它是美国和加拿大的主要职业体育联盟之一，被国际篮球联合会 (FIBA) 认可为全球职业篮球的管理机构。NBA 是体育广播市场的积极参与者，其比赛和相关内容以 40 多种语言在 200 多个国家播出。该组织每年仅电视收入就超过 20 亿美元。NBA 的每支球队价值超过 10 亿美元，常规赛打 82 场比赛。
挑战
NBA 是一家全球媒体公司，需要准确估计每场比赛的观众人数，以便做出关键决策，包括哪些比赛在哪些网络上播出以及哪些比赛获得提前宣传。NBA 的成功需要该组织准确估计每场比赛的观众人数，并利用这些信息做出关键决策，包括哪些比赛在哪些网络上播出以及哪些比赛获得提前宣传。NBA 需要更多数据，以及更快的速度和灵活性来整合这些数据，这样他们才能获得洞察力，帮助 NBA 在竞争日益激烈的媒体环境中取得成功。
解决方案
NBA 与 Domo 合作，将预估观众人数流程从手动计算转变为自动化流程，该流程可以使用更广泛的变量对预估观众人数进行即时评估。借助 Domo，Jonathan 的团队深入研究了大量的数据集。他们发现，NBA 比赛的转播网络是预估观众人数的重要变量。此外，哪些球员在场上也是一个关键的预测因素。该模型可以评估连胜的球队以及对季后赛至关重要的对决。建立模型后，Jonathan 可以观看它日复一日地自动更新的每个球员、球队和网络表现。
运营影响
数量效益
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