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Basic regulatory requirement to make credit evaluations easier for lending institutions
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Provides you with the information to determine the household’s overall indebtedness
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Insights on individual customer’s financial situation for customized products and services.
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TASDEEQ, Pakistan’s premier State Bank licensed credit bureau, proudly announces its strategic partnership with Prosper Technologies. This groundbreaking collaboration ushers in a new era of innovation, empowering individuals with advanced credit data solutions. Stay tuned for exciting developments in the financial landscape!
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TASDEEQ and Telenor are partnering to develop a ground-breaking Hybrid Credit Scoring Model based on Telco data. This innovative approach will provide enhanced and more accurate credit scores, benefiting customers with pre-existing credit histories and enabling risk prediction for thin file, new-to-bank (NTB) customers, and individuals with no formal credit records.
Telco-based credit score is an entry point to enhance financial and credit inclusion. The hybrid score is particularly useful for unsecured lending (such credit cards, and personal loans) and loans with smaller ticket sizes (Rs. 200k or less). Many insights can be derived from using Telco data using machine learning algorithms and other techniques such as regression analyses. These insights include:
- Unified risk scoring,
- Income assessment,
- Socio-economic profiling,
- ID Verification,
- Fraud detection,
- Identifying micro patterns to assess individuals’ probability of default, etc.
Stay tuned for more updates on this exciting partnership.
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TASDEEQ and Telenor are partnering to develop a ground-breaking Hybrid Credit Scoring Model based on Telco data. This innovative approach will provide enhanced and more accurate credit scores, benefiting customers with pre-existing credit histories and enabling risk prediction for thin file, new-to-bank (NTB) customers, and individuals with no formal credit records.
Telco-based credit score is an entry point to enhance financial and credit inclusion. The hybrid score is particularly useful for unsecured lending (such credit cards, and personal loans) and loans with smaller ticket sizes (Rs. 200k or less). Many insights can be derived from using Telco data using machine learning algorithms and other techniques such as regression analyses. These insights include:
- Unified risk scoring,
- Income assessment,
- Socio-economic profiling,
- ID Verification,
- Fraud detection,
- Identifying micro patterns to assess individuals’ probability of default, etc.
Stay tuned for more updates on this exciting partnership.