E-COMMERCE AND BUSINESS INTELLIGENCE

Introduction to E-Commerce: The Scope of Electronic Commerce, Definition of Electronic Commerce, Electronic Commerce and the Trade Cycle, Electronic Markets, Internet Commerce, Advantages and limitation of E-commerce, Supply Chains, Porter’s Value Chain Model, Inter Organizational Value Chains, Porter’s Model, First Mover Advantage, Sustainable Competitive Advantage, Competitive Advantage using E-Commerce.

Other concepts: E-supply chain, Virtual value chain, and M-commerce.

ERP: Overview, Integrated Management Information, Resource management, scope, benefits-of-ERP. Business Engineering and ERP: significance and principles, business engineering with information, business modeling for ERP, implementation of ERP problem, key issues, implementation guidelines and methodology. Application of SAP in financials, production data management.

Business Models and EDI: Business Models for E-Commerce (B2B, B2C, C2B, C2C),  E-business models based on relationship of transaction types: Brokerage model, aggregator model, info-mediary model, community model, manufacturer model, affiliate model.EDI: - Introduction to EDI, EDI definition, the benefit of EDI, EDI technology, standards, EDI communication, EDI implementations, EDI security. EDI trading patterns, Transactions, EDI adoptions and maturity

Electronic Markets, usage of electronic markets, advantages and limitation of electronic markets, future of electronic market. Business on the internet and life cycle approach. E-payment system: online payment category, digital token based E-payment system, micropayment, smart cards, and mobile payments, e-cash, e-wallet, e-cheque. Introduction to secure electronic transaction (SET), security solutions: cryptography, authorization, digital currency and signature. Crypto currency concept, bit coin & block chain.

Business Intelligence: Introduction, Definition, History, Data, Information, knowledge and Intelligence, Pattern Recognition, Data Processing Chain, BI architecture, components of Business Intelligence System, mathematical model in BI, cycle of Business Intelligence analysis, phases  in the development of BI System, BI Application.

Data warehouse and BI tools: Introduction to data warehouse, Definition, Data category in data warehouse: Internal, External and Personal, Online transaction processing and online Analytical Processing, comparison between OLTP and OLAP, Data warehouse architecture, Data mining: models, techniques and applications, BI tools.