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.