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Qlik > 实例探究 > Moody’s Analytics
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Moody’s Analytics

技术
  • 应用基础设施与中间件 - 数据可视化
  • 分析与建模 - 预测分析
适用行业
  • 金融与保险
适用功能
  • 商业运营
用例
  • 质量预测分析
  • 补货预测
服务
  • 数据科学服务
挑战
Moody’s Analytics, a global provider of financial intelligence and analytical tools, needed a way to enhance their existing capabilities in order to offer new insights to their customers. They required a solution that could handle vast volumes of data about borrowers for benchmarking and risk assessment. The challenge was to present this data in an intuitive and easily accessible format that could be explored to granular levels.
关于客户
Moody’s Analytics is a global provider of financial intelligence and analytical tools. They support their clients in making informed decisions by providing solutions that include research, data, software and professional services. Their clientele includes corporations, governments, regulatory authorities and investors who rely on them for market intelligence and analytical insights. Moody’s Analytics is known for their deep expertise in risk measurement and management and their services are used around the world.
解决方案
Moody’s Analytics partnered with Qlik to enhance their online platform for benchmarking and estimating risk. Qlik’s powerful data visualization technology was embedded into Moody’s Analytics platform. This allowed Moody’s Analytics to build on, enrich, and deepen their existing capabilities. The solution enabled Moody’s Analytics to aggregate vast volumes of data about borrowers for benchmarking and to better assess risk. The data is presented through intuitive visual dashboards that can be sliced, diced, and explored to granular levels. This solution provided truly new capacities for insight to their customers—with simplicity.
运营影响
  • Enhanced capabilities of Moody’s Analytics online platform for benchmarking and estimating risk.
  • Enabled aggregation of vast volumes of data about borrowers for benchmarking and better risk assessment.
  • Provided intuitive visual dashboards that can be explored to granular levels.

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