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Applied Analytics
Analytics for Decision Making
>
What is Cluster Analysis
Data Reduction and Unsupervised Learning
Preparing Data and Measuring Dissimilarities
Hierarchical and k-Means Clustering
Defining Output Variables and Analyzing the Results
Using Historical Data to Model Uncertainty
Models with Correlated Uncertain Variables
Creating and Interpreting Charts
Using Average Values versus Simulation
Optimization and Decision Making
Formulating an Optimization Problem
Developing a Spreadsheet Model
Adding Optimization to a Spreadsheet Model
What-if Analysis and the Sensitivity Report
Evaluating Scenarios and Visualizing Results to Gain Practical Insights
Digital Marketing Application of Optimization
Advanced Models for Better Decisions
Business Problems with Yes/No Decisions
Formulation and Solution of Binary Optimization Problems
Metaheuristic Optimization
Chance Constraints and Value At Risk
Simulation Optimization
Analytics for Marketing
>
Marketing Analytics and Customer Satisfaction
Customer Satisfaction
Measurements and Scaling Techniques – Introduction
Primary Scales of Measurement
Comparative Scaling
Non-Comparative Scaling
Experiment Design: Controlling for Experimental Errors
A/B Testing: Introduction
A/B Testing: Types of Tests
ANOVA – Introduction
Example -Inspect Spray and Tooth Growth
Logit Model - Binary Outome and Forecastign linear regression
Text Summarization
Social media Microscope
N-Gram - Frequcy Count and phase mining
LDA Topic Modeling
Machine-Learned Classification and Semantic Topic Tagging
Data Engine
>
Understanding The Growth Of Data
Evaluating Methods Of Data Access
Communication journey
Data Journey
Planning for data visualisation
Visualisation Component
Content Connection and Chart Legitibility
Customer Insights
>
Introduction
What is Descriptive Analytics?
Survey Overview
Net Promoter Score and Self-Reports
Survey Design
Passive Data Collection
Media Planning
Data Visualization
Causal Data Collection and Summary
Asking Predictive Questions
Regression Analysis
Data Set Predictions
Probability Models
Results and Predictions
Perspective Analytics (Maximize Revenue and Market Structure Competitions)
Analytics for Advance Marketing
>
Visualisation and statistics (Political Advertising,Movie Theater and Data Assembly)
Excel Analysis of Motion Picture Industry Data
Displaying Conditional Distributions
Analyzing Qualitative Variables
Steps in Constructing Histograms
Common Descriptive Statistics for Quantitative Data
Regression-Based Modeling
Customer Analytics
Illustrating Customer Analytics in Excel
Customer Valuation Excel Demonstration
Soft Skills
Adaptability
Confidence
Change Management
Unlearning and Learning
Collaboration and Teamwork
Cultural Sensitivity
Marketing
Finance
Economics
Introduction to Managerial Economics
>
Basic Techniques
The firm: Stakeholders, Objectives and Decision Issues
Demand and Revenue Analysis
>
Demand Estimation and Forecasting
Demand Elasticity
Demand Concepts and Analysis
>
Formulation and Solution of Binary Optimization Problems
Scope of Managerial Economics
Prodution and Cost Analysis
>
Production Function
Estimation of Production and Cost Functions
Cost Concepts and Analysis I
Cost Concepts and Analysis II
Pricing Decisions
>
Pricing strategies
>
Adding Optimization to a Spreadsheet Model
Market structure and microbes barriers to entry
Pricing under pure competition and pure monopoly
Pricing under monopolistic and oligopolistic competition
Narendra Modi Development Model of Gujarat
JBDON Golf
Digital Marketing Application of Optimization
Let's Talk
MBA Project Sharing
About Us
Good Read
>
IIMC says PepsiCo CEO Indra Nooyi was an average student
India’s middle class figures in Fortune’s Top Ten list of those who matter
The Start-Up of you.
BUYING AND MERCHANDISING
HUMAN RESOURCE MANAGEMENT
Do You Suffer From Decision Fatigue?
New Page
About social media and web 2.0
Building Your Own Start-up Technology Company, Part 1
Building Your Own Start-up Technology Company, Part 2
Building Your Own Start-up Technology Company, Part 3
Building Your Own Start-up Technology Company, Part 4
Renewable energy is no longer alternative energy
What Makes an Exceptional Social Media Manager?
The Forgotten Book that Helped Shape the Modern Economy
Home
How to Think Creatively
A Lighthearted Looks at Project Management and Sports Analogies
Why Trust Matters More Than Ever for Brands
CET Knowledge Zone
Tips From JBIMS Students
>
Prasad Sawant
Chandan Roy
Ram
Ashmant Tiwari
Rajesh Rikame
Ami Kothari
Ankeet Adani
Sonam Jain
Marketing Analytics and Customer Satisfaction
Mitesh Thakker
Tresa Sankoorikal
Speed Techniques
CET Workshops
Untitled
New Page
Cluster analysis using excel and excel miner
Chance Constraints and Value At Risk
Adding Uncertainty to a Spreadsheet Model
NPD MODEL
Home
Applied Analytics
Analytics for Decision Making
>
What is Cluster Analysis
Data Reduction and Unsupervised Learning
Preparing Data and Measuring Dissimilarities
Hierarchical and k-Means Clustering
Defining Output Variables and Analyzing the Results
Using Historical Data to Model Uncertainty
Models with Correlated Uncertain Variables
Creating and Interpreting Charts
Using Average Values versus Simulation
Optimization and Decision Making
Formulating an Optimization Problem
Developing a Spreadsheet Model
Adding Optimization to a Spreadsheet Model
What-if Analysis and the Sensitivity Report
Evaluating Scenarios and Visualizing Results to Gain Practical Insights
Digital Marketing Application of Optimization
Advanced Models for Better Decisions
Business Problems with Yes/No Decisions
Formulation and Solution of Binary Optimization Problems
Metaheuristic Optimization
Chance Constraints and Value At Risk
Simulation Optimization
Analytics for Marketing
>
Marketing Analytics and Customer Satisfaction
Customer Satisfaction
Measurements and Scaling Techniques – Introduction
Primary Scales of Measurement
Comparative Scaling
Non-Comparative Scaling
Experiment Design: Controlling for Experimental Errors
A/B Testing: Introduction
A/B Testing: Types of Tests
ANOVA – Introduction
Example -Inspect Spray and Tooth Growth
Logit Model - Binary Outome and Forecastign linear regression
Text Summarization
Social media Microscope
N-Gram - Frequcy Count and phase mining
LDA Topic Modeling
Machine-Learned Classification and Semantic Topic Tagging
Data Engine
>
Understanding The Growth Of Data
Evaluating Methods Of Data Access
Communication journey
Data Journey
Planning for data visualisation
Visualisation Component
Content Connection and Chart Legitibility
Customer Insights
>
Introduction
What is Descriptive Analytics?
Survey Overview
Net Promoter Score and Self-Reports
Survey Design
Passive Data Collection
Media Planning
Data Visualization
Causal Data Collection and Summary
Asking Predictive Questions
Regression Analysis
Data Set Predictions
Probability Models
Results and Predictions
Perspective Analytics (Maximize Revenue and Market Structure Competitions)
Analytics for Advance Marketing
>
Visualisation and statistics (Political Advertising,Movie Theater and Data Assembly)
Excel Analysis of Motion Picture Industry Data
Displaying Conditional Distributions
Analyzing Qualitative Variables
Steps in Constructing Histograms
Common Descriptive Statistics for Quantitative Data
Regression-Based Modeling
Customer Analytics
Illustrating Customer Analytics in Excel
Customer Valuation Excel Demonstration
Soft Skills
Adaptability
Confidence
Change Management
Unlearning and Learning
Collaboration and Teamwork
Cultural Sensitivity
Marketing
Finance
Economics
Introduction to Managerial Economics
>
Basic Techniques
The firm: Stakeholders, Objectives and Decision Issues
Demand and Revenue Analysis
>
Demand Estimation and Forecasting
Demand Elasticity
Demand Concepts and Analysis
>
Formulation and Solution of Binary Optimization Problems
Scope of Managerial Economics
Prodution and Cost Analysis
>
Production Function
Estimation of Production and Cost Functions
Cost Concepts and Analysis I
Cost Concepts and Analysis II
Pricing Decisions
>
Pricing strategies
>
Adding Optimization to a Spreadsheet Model
Market structure and microbes barriers to entry
Pricing under pure competition and pure monopoly
Pricing under monopolistic and oligopolistic competition
Narendra Modi Development Model of Gujarat
JBDON Golf
Digital Marketing Application of Optimization
Let's Talk
MBA Project Sharing
About Us
Good Read
>
IIMC says PepsiCo CEO Indra Nooyi was an average student
India’s middle class figures in Fortune’s Top Ten list of those who matter
The Start-Up of you.
BUYING AND MERCHANDISING
HUMAN RESOURCE MANAGEMENT
Do You Suffer From Decision Fatigue?
New Page
About social media and web 2.0
Building Your Own Start-up Technology Company, Part 1
Building Your Own Start-up Technology Company, Part 2
Building Your Own Start-up Technology Company, Part 3
Building Your Own Start-up Technology Company, Part 4
Renewable energy is no longer alternative energy
What Makes an Exceptional Social Media Manager?
The Forgotten Book that Helped Shape the Modern Economy
Home
How to Think Creatively
A Lighthearted Looks at Project Management and Sports Analogies
Why Trust Matters More Than Ever for Brands
CET Knowledge Zone
Tips From JBIMS Students
>
Prasad Sawant
Chandan Roy
Ram
Ashmant Tiwari
Rajesh Rikame
Ami Kothari
Ankeet Adani
Sonam Jain
Marketing Analytics and Customer Satisfaction
Mitesh Thakker
Tresa Sankoorikal
Speed Techniques
CET Workshops
Untitled
New Page
Cluster analysis using excel and excel miner
Chance Constraints and Value At Risk
Adding Uncertainty to a Spreadsheet Model
