Module 1: Introduction to Customer Analytics

• Overview of customer analytics
• Understanding key customer metrics
• Data sources and integration
• Introduction to Tableau
• Practical session: Importing and preparing customer data in Tableau

Module 2: Data Visualization Basics

• Principles of data visualization
• Creating basic charts and graphs
• Using Tableau's interface and functionalities
• Customizing visualizations
• Practical session: Designing basic visualizations for customer data

Module 3: Advanced Data Analysis Techniques

• Applying filters and parameters
• Using calculated fields
• Creating advanced charts (heat maps, histograms)
• Time series analysis in customer analytics
• Practical session: Performing advanced analysis on customer data

Module 4: Dashboard Design and Development

• Principles of effective dashboard design
• Creating interactive dashboards
• Using actions and filters in dashboards
• Best practices for customer dashboards
• Practical session: Building an interactive customer dashboard

Module 5: Customer Segmentation and Profiling

• Techniques for customer segmentation
• Analyzing customer behavior
• Customer profiling methods
• Segmenting customers based on data
• Practical session: Customer segmentation and profiling

Module 6: Predictive Customer Analytics

• Introduction to predictive analytics
• Predicting customer behavior using Tableau
• Customer churn analysis
• Identifying high-value customers
• Practical session: Predictive analysis on customer data

Module 7: Marketing Analytics

• Measuring marketing campaign effectiveness
• Analyzing marketing channels and ROI
• Customer acquisition and retention
• Visualizing marketing data
• Practical session: Marketing campaign analysis

Module 8: Customer Lifetime Value Analysis

• Calculating customer lifetime value (CLV)
• Strategies for increasing CLV
• Analyzing CLV data
• Visualizing CLV metrics
• Practical session: Customer lifetime value analysis

Module 9: Customer Satisfaction and Feedback Analysis

• Gathering customer feedback
• Analyzing customer satisfaction data
• Identifying areas for improvement
• Visualizing satisfaction metrics
• Practical session: Customer satisfaction and feedback analysis

Module 10: Future Trends in Customer Analytics

• Emerging technologies in customer analytics
• Predictive analytics and AI
• Integrating analytics with other business functions
• Case studies of successful customer analytics implementations
• Practical session: Exploring future trends in customer analytics

Trainer Experience

Our trainers are seasoned professionals with extensive experience in customer analytics and Tableau. They have worked with leading organizations and possess in-depth knowledge of the industry. Their practical expertise ensures that participants receive valuable insights and real-world applications throughout the course.

Quality statement

We are committed to providing high-quality training that meets the needs of our participants. Our courses are designed to be interactive, engaging, and practical, ensuring that attendees gain valuable skills and knowledge.

Tailor-made courses

We offer tailor-made courses to meet the specific needs of organizations. Whether you require customized content, flexible scheduling, or on-site training, we can create a training program that suits your requirements.

Payment information

Payment is required a week before the training starts.

Accommodation and airport pick-up

Accommodation and airport pick-up services are available upon request. Please contact us for more information and assistance.