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THE REAL BIG DATA SOCIAL SCORING
| Date post: | 19-Jun-2015 |
| Category: |
Economy & Finance |
| Upload: | maciej-dolinski |
| View: | 165 times |
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THE REAL BIG DATA SOCIAL SCORING
SOCIAL SCORING
We create social scorecards for B2C companies
The SCORE helps Banks/Loan companies make the RIGHT DECISION
Scoring is based on social media profile analysis
WE SOLVE PROBLEMS
Does my customers repay the
loan?
Will my customer be
loyal?
HOW IT WORKS?
Live implementation at Kasomat.pl
Discount for customers
Get the Score!
THE TEAM
Maciej Dolinski CEO4 startups with 2 successfull exitsBusiness experience at P&G and polish e-commerce leadersAmateur Boxer and Capoerista
Emilian Siemsia CTOExperienced developer who knows how to classify natural language texts.Owns a farm with 35 Acres of land and cultivate plants
Krzysztof Sornat Chief AnalystPhD student specialized in solving NP-hard problems. He was an analyst of big data in Credit Suisse. He runs 100 km without break.
Our main technology is textmining and NLP
We clasify text from social media profiles to create a scorecard for credit worthiness using GLM.
In our analysis we look for corelations based on knowledge from psychological tests to check such abilities like: Acumen, Creativity, Consequence, Enthusiasm, Empathy, Responsibility.
TECHNOLOGY
COMPETITION
Our 2 main competitors are:
They focus only for own loan risk management
Don’t have a product despite 27,5 mln $ investment
PRODUCT ROAD MAP
We focus to develope our API in cooperation with big customers (min. 5000 users/month)
06.12.2013 Live API ready for implementation online – Facebook only. To date first two customer test started We charge 1,5 EUR for single scoring
• 42% new customers at Kasomat.pl agree for the score!
• Fraud Alerts for Kasomat employees
• We found 20+ correlations on hand of facebook profile analysis
FIRST RESULTS
COOPERATION MODEL
• Implementation – individual scoring
• Final scoring after agreed amount of free records gathered with minimum 10% of unpaid on time loans
• Cost – 3000 EUR instalation fee, 1,5 EUR per single score.
BENEFITS FOR CUSTOMERS
• Low risk – First analysis for FREE
• Additional $$$ – Improved payback rate
• Additional Fraud protection tool without investment
• Customer Profile analysis – we can search for different information than credit worthiness
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