How to Use Big Data to Inspire Consumer Confidence
summary
Credit Karma uses data from 50 million members and machine learning to turn credit reports and account links into a quantitative, composite measure of personal financial outlook and predict future borrowing ability 12–24 months out. The team builds models that rank credit products by expected long‑term financial benefit, runs A/B tests on those rankings, and reports modest downstream improvement in users’ financial strength while keeping raw data private and constrained by financial regulations.
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chapters (16)
- 0:00Introduction
- 0:52How does Big Data measure the results we are driving
- 2:22Does Big Data translate into value
- 3:06How can we use Big Data to drive meaningful change
- 3:58How does this apply to Credit Karma
- 4:49Measuring financial health
- 5:20Choosing a metric
- 6:13Personal financial outlook
- 7:19Introducing John Doe
- 7:31Johns Credit Score
- 8:09Credit Products
- 8:44Ranking Products
- 9:21Draw from Experience
- 9:35Identify Users
- 11:47Build a Model
- 14:34Recap
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