Unit 1 Unit-I

6 lecture hours

• Business analytics: Overview of Business Analytics
• Scope of Business analytics
• Business Analytics Process
• Relationship of Business Analytics Process and organization
• competitive advantages of Business Analytics
• Statistical Tools: Statistical Notation
• Descriptive Statistical methods
• Review of probability distribution and data modelling
• sampling and estimation methods overview w. e. f
• Academic Year: 2024-25 Semester: 3 Category of the Course: MOPEC Program Name: Master of Engineering Level: PG Subject Code: ME03000151 Subject Name: Business Analytics

Unit 2 Unit – II

6 lecture hours

• Trendiness and Regression Analysis: Modelling Relationships and Trends in Data
• simple Linear Regression
• Important Resources
• Business Analytics Personnel
• Data and models for Business analytics
• Visualizing and Exploring Data
• Business Analytics Technology

Unit 3 Unit-III

8 lecture hours

• Organization Structures of Business Analytics: Team management
• Management Issues
• Designing Information Policy
• Ensuring Data Quality
• Measuring the contribution of Business Analytics
• Managing Changes
• Descriptive Analytics
• predictive analytics
• predictive Modelling
• Predictive analytics analysis
• Data Mining
• Data Mining Methodologies
• Prescriptive analytics and its step in the business analytics Process
• Prescriptive Modelling, and nonlinear Optimization

Unit 4 Unit-IV

12 lecture hours

• Forecasting Models
• Forecasting Models for Stationary Time Series
• Forecasting Models for Time Series with a Linear Trend
• Forecasting Time Series with Seasonality
• Regression Forecasting with Casual Variables
• Selecting Appropriate Forecasting Models
• Monte Carlo Simulation and Risk Analysis: Monte Carle Simulation Using Analytic Solver Platform
• New-Product Development Model
• Newsvendor Model
• Overbooking Model
• Cash Budget Model

Unit 5 Unit-V

• Decision Analysis: Formulating Decision Problems
• Decision Strategies with the without Outcome Probabilities
• Decision Trees
• The Value of Information
• Utility and Decision Making 8 20

Unit 6 Unit-VI

2 lecture hours

• Recent Trends in : Embedded and collaborative business intelligence
• Visual data recovery
• Data Storytelling and Data journalism