Teradata > 实例探究 > 数字身份管理

数字身份管理

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技术
  • 分析与建模 - 机器学习
  • 分析与建模 - 实时分析
适用行业
  • 金融与保险
  • 零售
适用功能
  • 销售与市场营销
用例
  • 实时定位系统 (RTLS)
  • 资产跟踪
客户
关于客户

全球零售银行 5 强

挑战

该银行在实现出色的客户旅程方面遇到了麻烦。

  1. 银行无法个性化 CX
  2. 银行需要在数据和分析中提供更精细的细节
  3. 无法在所有数字渠道中管理 CX,他们正在失去客户
解决方案

使用带有 Celebrus 技术的 Teradata Vantage 来改进他们的数字身份管理并增强整体 CX

  1. Celebrus 倾听并识别客户,然后将其打包到数据集中,然后将其放入预先构建的 CX 数据模型中
  2. Teradata 应用人工智能和机器学习来确定客户需求
  3. Teradata 实时提出建议
运营影响
  • The implementation of Teradata Vantage™ with Celebrus technology resulted in significant operational improvements for all three enterprises. The bank was able to improve their digital identity management and enhance overall customer experience. The UK Retailer was able to deliver highly relevant and personalized content to each customer, significantly improving conversion. They also reduced cost to serve by identifying and preventing fraud, reducing paper communications, and introducing a message transfer agent (MTA) to optimize market spend. The European Multiline Insurer was able to deliver a working prototype in 6 weeks, supporting multiple personalization use cases. They also delivered push to production in 8 weeks, delivering real-time messaging for all inbound visitors. The solution was deployed in the cloud to enable rapid delivery of capability.
数量效益
  • 50% increase in click-through rates for the bank
  • $50 million revenue increase attributed to personalized CX for the bank
  • 5X increase in application completion for the bank

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