Top 10 Financial Services Firm Accelerates Credit Risk Analysis with Augmented Data Insights
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Tellius
技术栈
- Machine Learning
- Python
- SQL
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
- Customer Satisfaction
技术
- 分析与建模 - 机器学习
- 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
服务
- 数据科学服务
- 软件设计与工程服务
关于客户
The customer is a top 10 financial services firm with a focus on credit risk strategy. The data analytics team serves multiple products, including mortgages, consumer credit cards, and small business loans. They sought faster and easier ways to evaluate credit risk using more customer data beyond credit scores, aiming to expand credit to more customers and reduce credit losses by identifying high-risk behaviors.
挑战
The data analytics team faced challenges with complex data and manual analysis, requiring examination of up to 300 variables. The manual process often focused on a subset of data, taking days to complete. The use of multiple discrete tools created friction, as data needed to be moved between applications, complicating workflows. Internal resources were bottlenecks, with some analyses taking up to 5 days.
解决方案
Tellius provided a solution with automated data analysis, enabling the team to examine every data point and discover important patterns without writing code. The unified analytics workflow allowed end-to-end capabilities, eliminating friction from using multiple tools. Tellius handled large data sets efficiently, optimizing machine learning analysis and interactive exploration. The user-friendly interface made advanced analytics accessible to all roles, allowing business users to perform their own analyses.
运营影响
数量效益
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