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Customer Service and Customer Experience
Using Tableau for CX and Support Analytics Training Course
Introduction
In today’s hyper-competitive business landscape, delivering exceptional customer experiences (CX) and optimizing support operations is critical for sustained growth. Data-driven decision-making has emerged as the backbone of successful CX strategies, and Tableau is the industry-leading analytics platform empowering organizations to transform raw data into actionable insights. Using Tableau for CX and Support Analytics Training Course equips professionals with the skills to harness real-time dashboards, predictive analytics, and interactive visualizations, enabling businesses to identify pain points, improve customer satisfaction, and boost support efficiency.
Participants will gain hands-on experience in leveraging Tableau for customer journey analysis, ticket resolution trends, sentiment analysis, and key performance indicator (KPI) tracking. Through practical exercises, case studies, and industry-specific scenarios, learners will master techniques to transform support data into strategic insights, reduce response times, and enhance overall CX performance. By the end of the course, attendees will be proficient in data blending, storytelling with dashboards, advanced calculations, and predictive modeling, positioning themselves as data-driven CX leaders.
Programme Curriculum
Using Tableau for CX and Support Analytics Training Course
Introduction
In today’s hyper-competitive business landscape, delivering exceptional customer experiences (CX) and optimizing support operations is critical for sustained growth. Data-driven decision-making has emerged as the backbone of successful CX strategies, and Tableau is the industry-leading analytics platform empowering organizations to transform raw data into actionable insights. Using Tableau for CX and Support Analytics Training Course equips professionals with the skills to harness real-time dashboards, predictive analytics, and interactive visualizations, enabling businesses to identify pain points, improve customer satisfaction, and boost support efficiency.
Participants will gain hands-on experience in leveraging Tableau for customer journey analysis, ticket resolution trends, sentiment analysis, and key performance indicator (KPI) tracking. Through practical exercises, case studies, and industry-specific scenarios, learners will master techniques to transform support data into strategic insights, reduce response times, and enhance overall CX performance. By the end of the course, attendees will be proficient in data blending, storytelling with dashboards, advanced calculations, and predictive modeling, positioning themselves as data-driven CX leaders.
Course Duration
5 days
Course Objectives
By the end of this course, participants will be able to:
Create interactive Tableau dashboards for real-time CX monitoring.
Perform customer sentiment and feedback analysis using Tableau.
Track and visualize support KPIs for faster decision-making.
Leverage data blending and integration to unify multi-source support data.
Conduct ticket volume trend analysis for resource optimization.
Apply predictive analytics to forecast customer behavior and support demand.
Develop customer journey analytics dashboards for strategic insights.
Use advanced calculations and LOD expressions to measure CX metrics.
Implement self-service analytics for support teams and stakeholders.
Optimize response times and ticket resolution efficiency using Tableau.
Build storytelling dashboards to communicate insights to executives.
Conduct root cause analysis on recurring customer issues.
Integrate AI-powered analytics features for proactive CX improvements.
Target Audience
CX managers and leaders
Customer support managers
Data analysts focusing on CX and support
Business intelligence professionals
Operations managers in support functions
Digital transformation consultants
IT professionals supporting analytics initiatives
Aspiring data-driven CX strategists
Course Modules
Module 1: Introduction to Tableau for CX Analytics
Overview of Tableau and its applications in CX and support
Understanding data visualization principles
Connecting to various customer and support data sources
Case Study: Retail company visualizing customer feedback trends
Creating your first CX dashboard
Module 2: Data Preparation and Integration
Data cleaning, transformation, and preparation techniques
Combining multi-source datasets for holistic analysis
Using Tableau Prep for support analytics
Case Study: Telecom company integrating ticketing and CRM data
Data blending for multi-channel support analysis
Module 3: KPI Tracking and Support Analytics
Identifying critical CX and support KPIs
Visualizing ticket resolution trends and response times
Building operational dashboards for support teams
Case Study: SaaS company reducing average ticket resolution time
KPI dashboard creation
Module 4: Customer Journey and Sentiment Analysis
Mapping customer journeys using Tableau
Analyzing feedback and sentiment data
Measuring customer satisfaction (CSAT, NPS)
Case Study: E-commerce platform improving post-purchase experience
Journey analytics dashboard
Module 5: Advanced Calculations and LOD Expressions
Using calculated fields and table calculations
Level-of-detail (LOD) expressions for detailed insights
Scenario-based analytics for CX and support
Case Study: Financial services company segmenting support requests
Advanced calculation exercises
Module 6: Predictive and AI-Powered Analytics
Forecasting ticket volumes and customer behavior
Applying trend analysis and predictive models
Introduction to Tableau’s AI analytics features
Case Study: Travel company predicting peak support periods
Forecasting and prediction in dashboards
Module 7: Dashboard Design and Storytelling
Best practices for dashboard visualization
Storytelling techniques for executive presentations
Interactive dashboards for actionable insights
Case Study: Healthcare provider presenting CX performance to leadership
Building a storytelling dashboard
Module 8: Real-Time Analytics and Self-Service Insights
Creating live dashboards for ongoing monitoring
Enabling self-service analytics for support teams
Automating alerts and notifications
Case Study: Tech company implementing real-time support monitoring
Real-time CX dashboard creation
Training Methodology
This course employs a participatory and hands-on approach to ensure practical learning, including:
Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.
Register as a group from 3 participants for a Discount
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to FINESKILL TRAINING CENTER account, as indicated in the invoice so as to enable us prepare better for you.