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Tellius > Case Studies > Top 10 Financial Services Firm Accelerates Credit Risk Analysis with Augmented Data Insights

Top 10 Financial Services Firm Accelerates Credit Risk Analysis with Augmented Data Insights

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Customer Company Size
Large Corporate
Region
  • America
Country
  • United States
Product
  • Tellius
Tech Stack
  • Machine Learning
  • Python
  • SQL
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Cost Savings
  • Customer Satisfaction
Technology Category
  • Analytics & Modeling - Machine Learning
  • Analytics & Modeling - Predictive Analytics
Applicable Industries
  • Finance & Insurance
Applicable Functions
  • Business Operation
Services
  • Data Science Services
  • Software Design & Engineering Services
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
  • Tellius enabled the data analytics team to achieve 10x faster insights, reducing data analysis time from days to hours.
  • The solution provided a unified analytics workflow, eliminating friction from using multiple tools and making data available to all users.
  • 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.
Quantitative Benefit
  • The firm saved $700k per month in mitigated credit losses.
  • The data analytics team gained 1000s of hours in productivity.

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