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Provincie Noord-Holland: Scaling Data Science in the Public Sector
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 机器学习
适用行业
- 城市与自治市
- 农业
适用功能
- 物流运输
- 质量保证
用例
- 预测性维护
- 农场监控与精准农业
- 交通监控
服务
- 数据科学服务
挑战
荷兰北荷兰省 (PNH) 着手成为一家更加数据驱动的组织。然而，他们在确定实现这一目标的必要步骤方面面临挑战，包括所需的技术和专业知识、设置实验和实施新流程。作为一家公共部门组织，他们还面临着独特的挑战，例如在进行实验和处理数据时需要考虑法规和社会影响。此外，他们必须在封闭的 IT 环境中工作，这限制了他们对数据科学工具的访问。他们还意识到需要数据科学家和技术来帮助他们成功实施数据科学计划，以及数据和业务驱动的重要性，以产生积极的绩效并鼓励整个组织利益相关者的认同。
关于客户
北荷兰省是荷兰 12 个省之一，可以说是荷兰经济中最重要的部分。该省有自己的国旗、国徽和国歌。PNH 由管理层、省级官员和负责全省政策和项目的委员会组成。PNH 的核心任务包括但不限于该省的环境、能源和气候；空间发展和水资源管理；区域可达性和公共交通；公共管理质量；文化基础设施和古迹保护；以及区域经济。共有近 1,400 名员工为 280 多万北荷兰人工作。
解决方案
PNH 聘请了第一位数据科学家，并开始探索他们的技术需求。他们决定投资一个鼓励在数据体验上进行协作的数据科学平台。在使用初始许可证数周并收集了来自各个内部团队的积极反馈后，他们签约成为 Dataiku 的客户。借助 Dataiku，PNH 能够显著提高效率，在所有数据科学计划中培养团队合作方法，将数据分析引入内部，将机器学习模型应用于交通信号灯优化和生物多样性等项目，并标准化其数据分析流程。他们还能够更轻松地回答内部查询并让分析师和其他团队成员了解情况，促进跨部门的参与和沟通。
运营影响
数量效益
相关案例.
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