SME E-COMPASS
E-COMmerce Proficient Analytics in Security and Sales for SMEs
| Coordinatore | EXODUS A.E.
Organization address
address: ESTIAS 1 & MESOGEION 73-75 contact info |
| Nazionalità Coordinatore | Greece [EL] |
| Totale costo | 2˙405˙051 € |
| EC contributo | 1˙679˙700 € |
| Programma | FP7-SME
Specific Programme "Capacities": Research for the benefit of SMEs |
| Code Call | FP7-SME-2012 |
| Funding Scheme | BSG-SME-AG |
| Anno di inizio | 2014 |
| Periodo (anno-mese-giorno) | 2014-01-01 - 2015-12-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
EXODUS A.E.
Organization address
address: ESTIAS 1 & MESOGEION 73-75 contact info |
EL (ATHINA) | coordinator | 0.00 |
| 2 |
ASOCIACION DE EMPRESARIOS TEXTILES DE LA REGION VALENCIANA
Organization address
address: CALLE ELS TELERS P I EL PLA 20 contact info |
ES (ONTINYENT) | participant | 549˙853.75 |
| 3 |
HALTON CHAMBER OF COMMERCE AND ENTERPRISE LBG
Organization address
address: THE HEATH BUSINESS AND TECHNICAL PARK contact info |
UK (RUNCORN CHESHIRE) | participant | 416˙085.60 |
| 4 |
EPIMELITIRIO KORINTHIAS
Organization address
address: ERMOU 2 contact info |
EL (KORINTHOS) | participant | 352˙015.94 |
| 5 |
EUSKAL HERRIKO ELEKTRONIKA ETA INFORMAZIO
Organization address
address: "PORTUETXE BIDEA EDIFICIO IBAETA, PLANTA 1 14" contact info |
ES (SAN SEBASTIAN) | participant | 348˙350.00 |
| 6 |
FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V
Organization address
address: Hansastrasse 27C contact info |
DE (MUENCHEN) | participant | 3˙840.00 |
| 7 |
A & E FORNARO OE
Organization address
address: ODOS SKOUFOU 10 contact info |
EL (ATHINA) | participant | 3˙240.00 |
| 8 |
MEETNOW! GMBH
Organization address
address: KOHLMEISENWEG 6 contact info |
DE (ALBSTADT) | participant | 3˙240.00 |
| 9 |
ESTUDIO CERO SOLUCIONES INFORMATICAS SL
Organization address
address: CALLE MERINOS 54 contact info |
ES (ECIJA SEVILLA) | participant | 2˙340.00 |
| 10 |
KAUNO REGIONO SMULKIU IR VIDUTINIUVERSLININKU ASOCIACIJA
Organization address
address: MUITINES G 13 A contact info |
LT (KAUNAS) | participant | 734.07 |
| 11 |
ASOCIACION CENTRO DE INVESTIGACION COOPERATIVA EN TURISMO - CICTOURGUNE
Organization address
address: PASEO MIKELETEGI - LOCAL 201 A PARQUE TECNOLOGICO MIRAMON 56 - EDIF B8 contact info |
ES (DONOSTIA SAN SEBASTIAN) | participant | 0.00 |
| 12 |
E TRAVEL PAROCHIS DIADIKTYAKON TOURISTIKON KAI TAXIDIOTIKON YPRESION AE
Organization address
address: ODOS EVELPIDON 61-63 contact info |
EL (ATHINA) | participant | 0.00 |
| 13 |
UNIVERSIDAD DE MALAGA
Organization address
address: CALLE EL EJIDO S/N contact info |
ES (MALAGA) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
'The SME E-COMPASS project offers real-time and on-demand web-based applications and services to SME e-commerce providers that they could not afford or do not have the business capacity for ordering customized applications from large IT and software providers. In an attempt to overcome time and scale limitations in these complex market conditions and threats for SME e-commerce providers, the SME E-COMPASS consortium proposes to design, develop and validate in SME business environments two real-time proficient applications that fosters online security and promotes e-sales , namely :
1) Real-time Anti-fraud “Software-as-a-Service” with the following components: fully-functional web-based platform, a reputation database, a knowledge database (KDB).
2) Real-time Data Mining “Software-as-a-Service powered by: semantic web technologies, linked data, an event processing engine and web-based visualizations and dashboards.
Real-time anti-fraud aims at detecting fraud by analyzing financial transactions. Banks, retailers, credit card companies, telecommunications firms and many other organizations wrestle with this issue. The proposed anti-fraud service scores fraud predicting outcomes using data mining models. Transactions are analyzed as they occur within customer accounts. Once the normal mode of operations is understood capturing all previous transactions, unusual patterns and suspicious transactions are recognized. As the scoring model is limited by the memory and processing power of the machine on which it runs, the SaaS (Software as a Service) paradigm helps handling the massive computational requirements associated with analyzing customer purchasing patterns. The proposed platform can rapidly predict behavior at the transactional level and be part of an enterprise application for real-time predictions bringing Enterprise Real-time Analysis to SME.
Besides real-time anti-fraud, another key issue to promote e-sales is to have proficient services for real-time data mining in order to improve conversion rates and sales. These services are based on: • User habits, available products and services, and social reputation. • Pricing optimization and yield management for perishable resources. SME merchants will be provided with a web based engagement services and a dashboard to define rules for cross-selling and pricing, backed by a complex event processing engine and a data warehouse to fulfill real-time requirements.'