Syllabus Business Analytics and Intelligence - (414452) Credit Scheme : Examination Scheme : 03 Credits Mid_Semester : 30 Marks End_Semester : 70 Marks Unit I Introduction to Decision Making and Business Intelligence Changing Business Environments, Decision Making & Simon’s Decision-Making Process, Managerial roles in Decision Making, Information Systems Support for Decision Making, framework for Computerized Decision Support : The Gorry and Scott-Morton Classical Framework, Decision support systems (DSS). Capabilities of DSS, DSS Classification, DSS Components. Business Intelligence (BI), Framework for BI, BI architecture, DSS - BI Connection, Goals of Business Intelligence, Business Intelligence : Tasks and Analysis Formats, BI use cases : Application in Patient Treatment, Application in Higher Education, Application in Logistics. (Chapter - 1) Unit II Modeling in BI Models and Modeling in BI, Model Presentation, Model Building, Model Assessment and Quality of Models, Modeling using Logical Structures : Ontologies & Frames, Modeling using Graph Structures : Business Process Model and Notation (BPMN) & Petri Nets, Modeling using Probabilistic Structures, Modeling Using Analytical Structures. Models and Data : Data Generation, The Role of Time, Data Quality. (Chapter - 2) Unit III Business reporting, Visual analytics, and Performance management What Is a Business Report, Components of Business Reporting Systems, Data and Information Visualization, Types of Charts and Graphs, Visual Analytics, Performance Dashboards, Business Performance Management, Closed Loop BPM Cycle, Performance Measurement, Key Performance Indicators, Balanced Scorecards, The Four Perspectives of BSC ? BI Tools : Tableau, Qlik, power BI, Dundas BI, Sisense, Webfocus, Oracle BI. (Chapter - 3) Unit IV Prescriptive Analytics & Model-Based Decision Making What are Descriptive analytics, predictive analytics, and prescriptive analytics, Decision Support Systems Modeling, Structure of Mathematical Models for Decision Support, Certainty, Uncertainty, and Risk, Decision Modeling with Spreadsheets, Mathematical Programming Optimization, Multiple Goals, Sensitivity Analysis, What-If Analysis, and Goal Seeking, Decision Analysis with Decision Tables and Decision Trees, Multi-criteria Decision Making with Pairwise Comparisons. (Chapter - 4) Unit V Role of Analytics and Intelligence in Business The role of visual and business analytics (BA) in BI and how various forms of BA are supported in practice. ERP and Business Intelligence, BI Applications in CRM, BI Applications in Marketing, BI Applications in Logistics and Production, Role of BI in Finance, BI Applications in Banking, BI Applications in Telecommunications, BI Applications in Fraud Detection, BI Applications in Retail Industry. (Chapter - 5) Unit VI Business Analytics : Emerging Trends and Future Impacts Emerging Technologies, the critical success factors for implementing a BI strategy, Predicting the Future with the help of Data Analysis, BI Search & Text Analytics - Advanced Visualization - Rich Report, cloud computing and BI, Future beyond Technology. Impacts of Analytics in Organizations, Issues of Legality, Privacy, and Ethics, Location-Based Analytics for Organizations, Analytics Applications for Consumers. (Chapter - 6)
