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AD-702 (B) · Business Intelligence/Official Syllabus

Business Intelligence (AD-702 (B)) - Official Syllabus

1
Unit 1

Introduction to Business Intelligence

  • Business Intelligence (BI)
  • Scope of BI solutions and their fitting into existing infrastructure
  • BI Components
  • Future of Business Intelligence
  • Functional areas and description of BI tools
  • Data mining & warehouse
  • OLAP
  • Drawing insights from data: DIKW pyramid
  • Business Analytics project methodology - detailed description of each phase
2
Unit 2

Business Intelligence Implementation

  • Key Drivers
  • Key Performance Indicators and Performance Metrics
  • BI Architecture/Framework
  • Best Practices
  • Business Decision Making
  • Styles of BI - vent-Driven alerts
  • A cyclic process of Intelligence Creation
  • Ethics of Business Intelligence
3
Unit 3

Decision Support System

  • Representation of decision-making system
  • Evolution of information system
  • Definition and development of decision support system
  • Decision Taxonomy
  • Principles of Decision Management Systems
4
Unit 4

Analysis & Visualization

  • Definition and applications of data mining
  • Data mining process
  • Analysis methodologies
  • Typical pre-processing operations: combining values into one
  • Handling incomplete or incorrect data
  • Handling missing values
  • Recoding values
  • Sub setting, sorting
  • Transforming scale, determining percentiles
  • Data manipulation
  • Removing noise, removing inconsistencies
  • Transformations, standardizing, normalizing
  • Min-max normalization
  • Z-score standardization
  • Rules of standardizing data
  • Role of visualization in analytics
  • Different techniques for visualizing data
5
Unit 5

Business Intelligence Applications

  • Relational marketing
  • Salesforce management
  • Business case studies
  • Supply chain optimization
  • Optimization models for logistics planning
  • Revenue management system

Reference Books

  • Business Intelligence and Data Mining — Anil K Maheshwari
  • Building Integrated Business Intelligence Solutions with SQL Server, 2008 R2 & Office 2010 — Philo Janus, Stacia Misner
  • Business Intelligence Data Mining and Optimization for decision-making — Carlo Vercellis
  • Business Intelligence — Rajiv Sabherwal
  • Decision Support and Business Intelligence Systems — Efraim Turban, Ramesh Sharda, Dursun Delen
  • Data Mining and Business Intelligence (Includes Practicals) — S.K. Shinde, Uddagiri Chandrashekhar
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