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BigDataScore

Improving loan quality and acceptance rates by predicting credit behavior through social mediadata.

Total Cost €

EC-Contrib. €

Partnership

Views

Outcomes and
results

BigDataScore project word cloud

Explore the words cloud of the BigDataScore project. It provides you a very rough idea of what is the project "BigDataScore" about.

money quality bureaus facebook big browser lenders business data competition kreditech obtaining medium proposition follows months accurately risk innovation portfolios streams save difficulty rate zestfinance easily sales revenues 36 media generation leendo global payment people credit lender pays innovative assesses 5m aasa governments browsing scoring youngsters readiness social client score revenue banks internet life 2nd 3rd immigrants vertical losses model team 36m anyone commercialization marketing 99 made scalable eur acceptance clients predicts strategy complete loan solution

Project "BigDataScore" data sheet

The following table provides information about the project.

Coordinator	BIG DATA SCORING Organization address address: VAHTRAMAE TEE 12-1 city: TALLINN postcode: 11912 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Estonia [EE]
Total cost	71˙429 €
EC max contribution	50˙000 € (70%)
Programme	1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) 2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
Code Call	H2020-SMEINST-1-2014
Funding Scheme	SME-1
Starting year	2015
Duration (year-month-day)	from 2015-03-01 to 2015-06-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	BIG DATA SCORING BIG DATA SCORING Organization address address: VAHTRAMAE TEE 12-1 city: TALLINN postcode: 11912 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	EE (TALLINN)	coordinator	50˙000.00
2	AASA GLOBAL AS AASA GLOBAL AS Organization address address: LAEVA TN 2 city: TALLINN postcode: 10111 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	EE (TALLINN)	participant	0.00

Map

Project objective

The problem: Credit Losses on Banks’ Loan Portfolios - Youngsters and 2nd generation immigrants still have difficulty in obtaining credit.

The solution: Our credit scoring model called Big Data Score assesses the credit quality of people and accurately predicts their payment behaviour based on data from social media (Facebook) and internet browsing behaviour.

Objectives of the overall innovation project: 1) Bring the present Technology Readiness from level 7 to 9. 2) Provide the system with complete access to real life data and Open Data made available from governments. 3) Development of a marketing and sales strategy based on two key principle: vertical approach and distribution approach.

Value Proposition: To help lenders to save money on credit losses and to make more money on increased acceptance rate.

Business Model: Business follows a simple and easily scalable model where lender pays for each score: 0.99 EUR per Facebook score and 0.20 EUR per browser score.

Users/Clients: Our target client is anyone who is taking a short to medium term (1-36 months) credit risk.

Competition: Traditional credit bureaus and innovative credit score (Kreditech, Leendo, ZestFinance).

Revenue Streams: 36M€ revenues at the 3rd year after commercialization.

Team: Big Data Scoring AS, Aasa Global AS.

Required funding: 1,5M€

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BIGDATASCORE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "BIGDATASCORE" are provided by the European Opendata Portal: CORDIS opendata.