Qlik > 实例探究 > Qlik® Customer Snapshot

Qlik® Customer Snapshot

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公司规模
Large Corporate
地区
  • America
国家
  • United States
产品
  • QlikView
技术栈
  • QlikView (64-bit)
实施规模
  • Departmental Deployment
影响指标
  • Cost Savings
  • Productivity Improvements
技术
  • 分析与建模 - 实时分析
适用行业
  • 金融与保险
适用功能
  • 销售与市场营销
用例
  • 质量预测分析
服务
  • 数据科学服务
关于客户
The Global Retail Bank is a leading retail and corporate banking arm of a financial services leader. The division offers a wide array of banking, lending, and investment services to individual consumers, as well as to small businesses with up to $10 million in annual sales. The bank operates more than 1,000 offices or branches worldwide, serving millions of customers. The bank is headquartered in New York, New York, and operates in the retail banking industry.
挑战
The Global Retail Bank was facing a challenge of high cost per question due to the chaotic use of spreadsheets and unmanageable processes. The bank had spent hundreds of millions on legacy reporting, analysis, and modeling, which created too many barriers for decision-maker access to key information. The chairman of the bank had publicly stated that the bank would excel through innovation, and thus, there was a need for a solution that could lower the cost per question and manage the processes more efficiently.
解决方案
The bank deployed QlikView as 'innovation fuel' to an initial 25 centralized strategy users in marketing supporting major initiatives in the US. The users were expected to scale from 25 to hundreds by the end of the year. The solution was used for new customer analysis, market analysis, innovation planning and measurement, marketing campaign analysis, and product analysis. The solution was rapidly pre-launched in 2 days with the entire business up in 2 weeks. The bank leveraged QlikView (64-bit) to report on 20 million records for millions of customers across multiple lines of business.
运营影响
  • The bank was able to reduce the cost per question by 80% and the turnaround time by 90%. The solution enabled a process for iterative discovery to support innovation. It provided the ability to now get answers to questions that were not even possible to ask before while using Cognos and BO.
数量效益
  • Reduced cost per question by 80%
  • Reduced turnaround time by 90%

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