希尔德布兰德：利用物联网捕获的数据提供革命性的新服务
公司规模
SME
地区
- Europe
国家
- United Kingdom
产品
- Hildebrand Smart platform
- IBM Informix
技术栈
- IBM Informix
- Machine Learning
- Big Data Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Innovation Output
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 实时分析
适用行业
- 零售
- 运输
适用功能
- 物流运输
- 质量保证
用例
- 实时定位系统 (RTLS)
- 预测性维护
- 供应链可见性(SCV)
服务
- 数据科学服务
- 系统集成
关于客户
Hildebrand 是一家总部位于伦敦的公司，致力于开发和运营复杂的产品，让解决方案提供商能够利用高性能数据库和机器学习技术轻松部署和扩展其应用程序。该公司的旗舰产品是其“Smart”平台，该平台可捕获、整理和释放大数据的潜力，为多个行业和日常生活提供改变业务的洞察力。该公司涉足零售、交通和能源等多个领域，并与全球政府组织合作研究消费者用电的真实数据。
挑战
物联网 (IoT) 的出现导致来自各种来源的数据激增。如果正确处理和理解这些数据，则可以解锁新见解、超越客户期望并提供竞争优势。然而，传统数据库难以有效处理高速时间序列数据。制造、分销、运输、转售或服务实体产品的企业可以从传感器来源的数据中受益，这些数据跟踪商品在整个价值链中的流动，从制造到使用。对于服务行业来说，机会在于将环境数据与客户数据相结合以创造创新产品。挑战在于收集和处理这些海量的时间序列数据。
解决方案
Hildebrand 部署了 IBM Informix 数据库，该数据库旨在提供极高的性能和可用性。与将每个新数据“脉冲”记录为新条目的传统数据库不同，Informix 按时间顺序在一行中管理每个“脉冲”的所有带时间戳的数据。这使得加载、存储、提取和分析数据变得更快、更容易。Hildebrand 将其由 Informix 提供支持的智能分析平台作为一项服务提供给客户，使公司能够轻松利用基于传感器的数据和应用程序。该平台用于各种应用，包括零售“客流量”跟踪、设计更好的运输系统以及研究能源使用模式。
运营影响
数量效益
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