Strategic Planning Courses

Week 1: Introduction to CRM and Its Strategic Importance (4 Hours)

Session 1 (2 Hours): Fundamentals of CRM

Introduction to Customer Relationship Management

Evolution of CRM and Its Role in Modern Businesses

Overview of CRM Systems and Technologies

Session 2 (2 Hours): Strategic Importance of CRM

Aligning CRM with Business Strategy

Understanding the Customer Journey

Role of CRM in Customer Retention and Acquisition

Week 2: CRM Systems and Their Functionalities (6 Hours)

Session 3 (2 Hours): Overview of Popular CRM Systems

Comparison of Different CRM Systems (e.g., Salesforce, Microsoft Dynamics, Zoho)

Cloud-based CRM vs. On-premise Solutions

Integration with Other Business Systems

Session 4 (2 Hours): Key Functionalities of CRM Systems

Sales Force Automation

Customer Service and Support

Marketing Automation within CRM

Session 5 (2 Hours): Data Management in CRM

Managing and Segmenting Customer Data

Data Analytics and Reporting Features

Ensuring Data Privacy and Compliance

Week 3: Implementing and Optimizing CRM Systems (6 Hours)

Session 6 (2 Hours): CRM Implementation Strategies

Best Practices for CRM Implementation

Overcoming Common Implementation Challenges

Case Studies of Successful CRM Implementations

Session 7 (2 Hours): User Adoption and Training

Strategies for Ensuring User Adoption and Engagement

Training Employees on CRM Usage

Measuring CRM Adoption Success

Session 8 (2 Hours): CRM System Optimization and Advanced Features

Ongoing Management and Maintenance of CRM Systems

Exploring Advanced Features (AI, IoT Integration, etc.)

Future Trends in CRM Technology

Week 4: Practical Applications and Capstone Project (4 Hours)

Session 9 (2 Hours): Integrating CRM into Business Processes

Developing Customer-Centric Strategies Using CRM

CRM in Customer Analytics and Insight Generation

Ethical Considerations in Customer Data Handling

Session 10 (2 Hours): Capstone Project and Course Wrap-Up

Group Project: Developing a CRM Strategy for a Real or Simulated Business Scenario

Presentation of Projects and Feedback

Course Summary and Pathways for Further Learning

The course should include a mix of lectures, case studies, and practical exercises, possibly using a CRM software simulation or sandbox environment. The capstone project in the final week would allow students to apply the concepts and techniques learned to a realistic business scenario, reinforcing their understanding and practical skills in CRM systems. This structure ensures that MBA students gain not only a technical understanding of CRM systems but also learn how to strategically apply these tools to enhance customer relationships and drive business success.

Week 1: Introduction to Tableau and Data Visualization (4 Hours)

Session 1 (2 Hours): Fundamentals of Tableau

Introduction to Business Intelligence and Data Visualization

Overview of Tableau: Features and Capabilities

Installing Tableau and Navigating the Interface

Session 2 (2 Hours): Basic Data Visualization Concepts

Principles of Effective Data Visualization

Connecting to Data Sources in Tableau

Creating Basic Charts and Graphs

Week 2: Intermediate Tableau Skills and Visualization Techniques (6 Hours)

Session 3 (2 Hours): Exploring Data with Tableau

Deep Dive into Tableau Data Handling

Data Preparation and Cleaning in Tableau

Advanced Chart Types and Visualization Techniques

Session 4 (2 Hours): Building Interactive Dashboards

Designing Dashboards for Business Intelligence

Adding Filters, Actions, and Tooltips for Interactivity

Best Practices for Dashboard Layout and Design

Session 5 (2 Hours): Data Storytelling with Tableau

Crafting a Narrative with Data

Techniques for Effective Data Presentation and Storytelling

Utilizing Tableau’s Story Points Feature

Week 3: Advanced Tableau Features and Analytics (6 Hours)

Session 6 (2 Hours): Advanced Data Analysis in Tableau

Advanced Calculations with Tableau (Calculated Fields, Table Calculations)

Using Parameters for Dynamic Visualizations

Introduction to Geographic Mapping in Tableau

Session 7 (2 Hours): Tableau for Business Analytics

Analyzing Business Data in Tableau (Sales, Finance, Marketing)

Time-Series Analysis and Forecasting

Exploring Tableau Statistical Functions

Session 8 (2 Hours): Integrating Tableau with Other Tools

Integrating Tableau with SQL and Other Databases

Utilizing Tableau with Big Data

Exporting and Sharing Tableau Insights

Week 4: Practical Application and Capstone Project (4 Hours)

Session 9 (2 Hours): Implementing Tableau in Business Strategy

Case Studies of Tableau in Business Decision-Making

Ethical Considerations in Data Visualization

Strategies for Effective Use of BI Tools in Organizations

Session 10 (2 Hours): Capstone Project and Course Wrap-Up

Developing a Comprehensive Tableau Project on a Business Case

Presentation of Capstone Projects

Course Summary and Pathways for Further Learning

The course should include a mix of lectures, demonstrations, and practical exercises, with a focus on applying Tableau skills to real-world business scenarios. The capstone project in the final week would allow students to apply their learning to develop a full-fledged Tableau dashboard based on a realistic business dataset, ensuring they understand not only how to use Tableau but also how to apply it strategically in a business context.

Week 1: Introduction to CRM and Its Strategic Importance (4 Hours)

Session 1 (2 Hours): Fundamentals of CRM

Introduction to Customer Relationship Management

Evolution of CRM and Its Role in Modern Businesses

Overview of CRM Systems and Technologies

Session 2 (2 Hours): Strategic Importance of CRM

Aligning CRM with Business Strategy

Understanding the Customer Journey

Role of CRM in Customer Retention and Acquisition

Week 2: CRM Systems and Their Functionalities (6 Hours)

Session 3 (2 Hours): Overview of Popular CRM Systems

Comparison of Different CRM Systems (e.g., Salesforce, Microsoft Dynamics, Zoho)

Cloud-based CRM vs. On-premise Solutions

Integration with Other Business Systems

Session 4 (2 Hours): Key Functionalities of CRM Systems

Sales Force Automation

Customer Service and Support

Marketing Automation within CRM

Session 5 (2 Hours): Data Management in CRM

Managing and Segmenting Customer Data

Data Analytics and Reporting Features

Ensuring Data Privacy and Compliance

Week 3: Implementing and Optimizing CRM Systems (6 Hours)

Session 6 (2 Hours): CRM Implementation Strategies

Best Practices for CRM Implementation

Overcoming Common Implementation Challenges

Case Studies of Successful CRM Implementations

Session 7 (2 Hours): User Adoption and Training

Strategies for Ensuring User Adoption and Engagement

Training Employees on CRM Usage

Measuring CRM Adoption Success

Session 8 (2 Hours): CRM System Optimization and Advanced Features

Ongoing Management and Maintenance of CRM Systems

Exploring Advanced Features (AI, IoT Integration, etc.)

Future Trends in CRM Technology

Week 4: Practical Applications and Capstone Project (4 Hours)

Session 9 (2 Hours): Integrating CRM into Business Processes

Developing Customer-Centric Strategies Using CRM

CRM in Customer Analytics and Insight Generation

Ethical Considerations in Customer Data Handling

Session 10 (2 Hours): Capstone Project and Course Wrap-Up

Group Project: Developing a CRM Strategy for a Real or Simulated Business Scenario

Presentation of Projects and Feedback

Course Summary and Pathways for Further Learning

The course should include a mix of lectures, case studies, and practical exercises, possibly using a CRM software simulation or sandbox environment. The capstone project in the final week would allow students to apply the concepts and techniques learned to a realistic business scenario, reinforcing their understanding and practical skills in CRM systems. This structure ensures that MBA students gain not only a technical understanding of CRM systems but also learn how to strategically apply these tools to enhance customer relationships and drive business success.

Week 1: Introduction to Tableau and Data Visualization (4 Hours)

Session 1 (2 Hours): Fundamentals of Tableau

Introduction to Business Intelligence and Data Visualization

Overview of Tableau: Features and Capabilities

Installing Tableau and Navigating the Interface

Session 2 (2 Hours): Basic Data Visualization Concepts

Principles of Effective Data Visualization

Connecting to Data Sources in Tableau

Creating Basic Charts and Graphs

Week 2: Intermediate Tableau Skills and Visualization Techniques (6 Hours)

Session 3 (2 Hours): Exploring Data with Tableau

Deep Dive into Tableau Data Handling

Data Preparation and Cleaning in Tableau

Advanced Chart Types and Visualization Techniques

Session 4 (2 Hours): Building Interactive Dashboards

Designing Dashboards for Business Intelligence

Adding Filters, Actions, and Tooltips for Interactivity

Best Practices for Dashboard Layout and Design

Session 5 (2 Hours): Data Storytelling with Tableau

Crafting a Narrative with Data

Techniques for Effective Data Presentation and Storytelling

Utilizing Tableau’s Story Points Feature

Week 3: Advanced Tableau Features and Analytics (6 Hours)

Session 6 (2 Hours): Advanced Data Analysis in Tableau

Advanced Calculations with Tableau (Calculated Fields, Table Calculations)

Using Parameters for Dynamic Visualizations

Introduction to Geographic Mapping in Tableau

Session 7 (2 Hours): Tableau for Business Analytics

Analyzing Business Data in Tableau (Sales, Finance, Marketing)

Time-Series Analysis and Forecasting

Exploring Tableau Statistical Functions

Session 8 (2 Hours): Integrating Tableau with Other Tools

Integrating Tableau with SQL and Other Databases

Utilizing Tableau with Big Data

Exporting and Sharing Tableau Insights

Week 4: Practical Application and Capstone Project (4 Hours)

Session 9 (2 Hours): Implementing Tableau in Business Strategy

Case Studies of Tableau in Business Decision-Making

Ethical Considerations in Data Visualization

Strategies for Effective Use of BI Tools in Organizations

Session 10 (2 Hours): Capstone Project and Course Wrap-Up

Developing a Comprehensive Tableau Project on a Business Case

Presentation of Capstone Projects

Course Summary and Pathways for Further Learning

The course should include a mix of lectures, demonstrations, and practical exercises, with a focus on applying Tableau skills to real-world business scenarios. The capstone project in the final week would allow students to apply their learning to develop a full-fledged Tableau dashboard based on a realistic business dataset, ensuring they understand not only how to use Tableau but also how to apply it strategically in a business context.