Business Intelligence and Analytics (Elective-I)

Unit I

Business Intelligence — Introduction: History and Evolution, Effective and Timely Decisions, Data Information and Knowledge, Architectural Representation, Role of Mathematical Models, Real Time Business Intelligent Systems.

Unit II

BI — Data Mining & Warehousing: Introduction to Data Mining, Architecture and Working of Data Mining, Functionalities & Classifications, Representation of Input Data, Analysis Methodologies. Data Warehousing: Data Mart, OLAP Tools, Data Modelling, OLAP vs OLTP, Star and Snowflake Schemas, ETL Process and Role of ETL.

Unit III

BI — Data Preparation: Data Validation, Data Transformation — Standardization and Feature Extraction, Data Reduction — Sampling, Selection, PCA, Data Discretization.

Unit IV

BI — Data Analytics Process: Introduction to the analytics process, Types of Analytical Techniques in BI — Descriptive, Predictive, Prescriptive, Social Media Analytics, Behavioural, Iris Datasets.

Unit V

Implementation of BI: Business Activity Monitoring, Complex Event Processing, Business Process Management, Metadata, Root Cause Analysis.