C5i > 实例探究 > Using statistical models to understand a decline in remittance transactions

Using statistical models to understand a decline in remittance transactions

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公司规模
1,000+
地区
  • Asia
产品
  • Blueocean Market Intelligence analytics
技术栈
  • Statistical models
实施规模
  • Enterprise-wide Deployment
影响指标
  • Customer Satisfaction
  • Revenue Growth
技术
  • 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
服务
  • 数据科学服务
关于客户
The customer is a leading money exchange company operating in the financial services industry. They specialize in facilitating remittance transactions between different countries. Recently, they experienced a decline in transaction volume from Country X to Country Y, which prompted them to seek solutions to understand and address this issue. The company is committed to understanding its customer trends and transactional patterns to improve its services and maintain its leading position in the market.
挑战
The client, a leading money exchange company, experienced a decline in remittance transactions from Country X to Country Y. They identified several factors responsible for the decrease in transaction volume and sought the expertise of Blueocean Market Intelligence to investigate and develop a plan to address these challenges. The client needed to understand the transactional and customer trends by key variables such as age, emirate, and send agent. They also wanted to measure the impact of exchange rate, margin percentage, and competitor pricing on transactional volume.
解决方案
Blueocean Market Intelligence approached the problem by first conducting an exploratory analysis to understand the transactional and customer trends by key variables such as age, emirate, and send agent. They then created statistical models to estimate the impact of margin percentage on transactional volume and measure the impact of exchange rate and competitor pricing on transactional volume. Through this comprehensive analysis, Blueocean was able to identify the key issues impacting the transaction volumes and provide actionable insights to the client.
运营影响
  • Blueocean Market Intelligence was able to help the client understand which key issues had the most impact on the transaction volumes, including total margin percentage and send agent margin percentage.
  • The analysis showed the need for a loyalty program as a significant percentage of customers did not make any transfer in the subsequent twelve months after making a transfer.
  • The statistical models identified agents where the drop in volume was relatively higher, thus bringing this to the client’s immediate attention for further action.
数量效益
  • 67% of the customers who made a transfer in six months had not made any transfer in the next twelve months

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