Driving financial inclusion in emerging markets using alternate data and big data analytics
Access to credit in emerging markets is impeded by issues around identity verification, risk assessment and monitoring, and the costs of underwriting and collections. At the core of it all is a lack of data. Amit Das explains how accessing alternate data, real-time risk monitoring and data access solutions, and smart analytics is changing the lending landscape in India.
| Talk Title | Driving financial inclusion in emerging markets using alternate data and big data analytics |
| Speakers | Amit Das (Think Analytics India) |
| Conference | Strata + Hadoop World |
| Conf Tag | Make Data Work |
| Location | Singapore |
| Date | December 6-8, 2016 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Organized lending is expected to soon be an $18B+ industry in India. Today, large parts of it are driven by local economies, unorganized money lending, high-cost debt, sporadic access to credit at unfavorable terms for the underserved and underbanked, and significant issues in collections. At the core of it all is a lack of data. Amit Das explains how accessing alternate data, real-time risk monitoring and data access solutions, and smart analytics is changing the lending landscape in India. India is experience a large fintech wave, which includes investments in real-time know-your-customer solutions, instant underwriting solutions, digital lending, digital collections, continuous risk monitoring solutions, and advancements in anti-money-laundering solutions. While many of these investments are years from generating significant business returns, their impact on business process TATs, cost of underwriting, and the ability to reach out to larger masses is already visible and profound. Topics include:
