D30 Tableau Next & Data360: Why Salesforce Customers Should Pay Attention

Summary In this episode of unDUBBED, hosts Sarah and Fiona engage with Kirk Munroe, co-founder of Paint with Data, to discuss the evolution of Tableau within the Salesforce ecosystem. They explore the significance of Data360, the transition from Tableau Classic to Tableau Next, and the importance of building semantic models for effective data analytics. Kirk shares insights from his extensive experience in the field, emphasizing the need for data professionals to adapt to new technologies and embrace opportunities for growth. The conversation also touches on the future of data analytics, the role of AI, and practical advice for data teams. Takeaways Kirk Munroe emphasizes the importance of embracing change in data analytics. Data360 is crucial for unifying customer profiles across multiple channels. Organizations often struggle with data visibility due to customization in Salesforce. Transitioning to Tableau Next makes sense for companies already using Salesforce. Building semantic models is essential for effective data analysis. Data professionals should focus on understanding business needs and gathering requirements. The future of data analytics will be more consultative and integrated. AI poses risks but also opportunities for data professionals. Tableau Next is not just a replacement but an enhancement of existing tools. Data analytics should be actionable and accessible to all users. Chapters 00:00 Introduction to Tableau and Kirk Munro 01:53 Understanding Tableau Next and Its Marketing Challenges 04:12 The Evolution of Data360 and Its Importance 06:36 Kirk Munro's Journey in Data and Analytics 09:44 Exploring Data360: Unified Customer Profiles 10:42 The Future of Data Applications and AI 17:42 The Challenges of Legacy Systems in Banking 17:53 Implementing Data360: Transforming Data Accessibility 20:20 Customization in Salesforce: A Double-Edged Sword 22:05 Transitioning to Tableau Next: What You Need to Know 26:04 The Future of Data Roles in the Tableau Ecosystem 30:29 Gathering Requirements: The Key to Effective Data Solutions 32:29 The Importance of Semantic Models in Data Analytics 38:17 Advice for Data Leaders: Improving Data Models 43:58 The Role of Data in Marketing Campaigns 46:14 Building Effective Data Models 48:50 Understanding Causation and Correlation in Data 51:34 The Future of Tableau Next 52:36 Strategic Recommendations for Tableau Next 01:00:35 Rapid Fire Insights on Data Analytics   Links Kirk Munroe on LinkedIn: https://www.linkedin.com/in/kirkmunroe/ Paint with Data: https://www.paintwithdata.com/ Data Modeling with Tableau: https://www.amazon.com/Data-Modeling-Tableau-practical-building/dp/1803248025   Kirk Munroe: 4 Common Tableau Data Model Problems…and How to Fix Them: https://www.flerlagetwins.com/2023/01/data-.html Kirk Munroe: So What is Tableau Next? https://www.flerlagetwins.com/2025/07/tableau-next-1.html Master the Tableau Data Model & Relationships featuring Kirk Munroe: https://www.youtube.com/watch?v=OE25-cK2ZHI Data Modeling Masterclass with Kirk Munro: https://www.nextleveltableau.com/modeling Keywords Tableau, Salesforce, Data360, analytics, Kirk Munroe, data strategy, semantic models, Tableau Next, business intelligence, data visualization