Cloudera > 实例探究 > Axis Bank 的数据分析转型:提高效率和客户体验

Axis Bank 的数据分析转型:提高效率和客户体验

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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
  • 金融与保险
  • 零售
适用功能
  • 采购
  • 仓库和库存管理
用例
  • 楼宇自动化与控制
  • 预测性维护
服务
  • 云规划/设计/实施服务
  • 数据科学服务
关于客户
Axis Bank 是印度第三大私营银行,拥有超过 2000 万客户和 4,500 多个广泛的分支机构。它使用数据分析来提高盈利能力、管理风险和改善运营。
挑战
为了在数据驱动的金融服务环境中保持竞争力,Axis Bank 需要加快向数据驱动运营的转型,并满足不断变化的客户需求。
解决方案
Axis Bank 实施了强大的数据文化,并对技术进行了大量投资,包括 Cloudera 的数据工程、数据仓库和机器学习解决方案,以安全地满足数据驱动的需求。
运营影响
  • Axis Bank's digital transformation has resulted in a significant improvement in its operations. The bank's data-driven approach has enabled it to understand customer needs better and offer personalized services. The bank's core systems now collect and analyze a vast amount of data, enabling it to generate insights that enrich the customer's banking experience. The bank's move towards adopting a data mesh mindset has enabled a new level of analytics, including building alternate data platforms and deploying use cases across credit, fraud, and marketing analytics. The bank has also developed a best-in-class personalisation engine that delivers a distinctive customer experience by taking into account various data categories and information provided by machine learning models.
数量效益
  • 66% of personal loans are processed via database programs
  • 79% of new credit cards sourcing and 100% of portfolio exposure increase via data-driven strategy
  • The Cloudera EDH cluster integrates and analyses 750 terabytes of data

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