Leveraging Open Data to Gain Advantage on the Competition
summary
Shows how the CFPB consumer complaints database (about 362,000 records at the time) and HUDMA/HMDA mortgage files (130 million applications total, 17M in 2013) are used to spot regulatory risk and customer pain points, correlating social media spikes with later CFPB complaints. Identifies companies fined (Ocwen ~$2.1B, Discover ~$214M, Capital One ~$200M, Sallie Mae ~$70M), builds an ETL pipeline and voice‑of‑customer text pipeline using word2vec, IBM/SPSS text analytics and Clarabridge/Atensity, and demonstrates that early detection reduces fines and attrition.
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chapters (12)
- 0:00Introduction
- 3:15What is open data
- 5:04Financial services case study
- 21:44Break and recap
- 22:05Scaling complaints by cards
- 25:57Mortgage complaints and Ocwen fine
- 30:40Open data with social media
- 32:49Student loan complaints and Sallie Mae
- 34:38Voice of customer analysis
- 44:28HMDA data case study
- 51:59Open payments data
- 56:13Q&A
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