Obiettivo 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€ Campo scientifico natural sciencescomputer and information sciencesdata sciencebig datasocial sciencespolitical sciencespublic administrationbureaucracysocial scienceseconomics and businessbusiness and managementbusiness modelssocial sciencessociologysocial issuesunemploymentsocial sciencessociologydemographyhuman migrations Programma(i) H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) Main Programme H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument Argomento(i) ICT-37-2014-1 - Open Disruptive Innovation Scheme (implemented through the SME instrument) Invito a presentare proposte H2020-SMEInst-2014-2015 Vedi altri progetti per questo bando Bando secondario H2020-SMEINST-1-2014 Meccanismo di finanziamento SME-1 - SME instrument phase 1 Coordinatore BIG DATA SCORING Contribution nette de l'UE € 50 000,00 Indirizzo VAHTRAMAE TEE 12-1 11912 TALLINN Estonia Mostra sulla mappa PMI L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione. Sì Regione Eesti Eesti Põhja-Eesti Tipo di attività Private for-profit entities (excluding Higher or Secondary Education Establishments) Collegamenti Contatta l’organizzazione Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 71 429,00 Partecipanti (1) Classifica in ordine alfabetico Classifica per Contributo netto dell'UE Espandi tutto Riduci tutto AASA GLOBAL AS Estonia Contribution nette de l'UE € 0,00 Indirizzo LAEVA TN 2 10111 TALLINN Mostra sulla mappa PMI L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione. Sì Regione Eesti Eesti Põhja-Eesti Tipo di attività Private for-profit entities (excluding Higher or Secondary Education Establishments) Collegamenti Contatta l’organizzazione Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale Nessun dato
