Join us for an engaging session on "Practical Data Modeling with Tableau for Real World Dashboards," where we will delve into the essentials of creating effective data models that drive impactful dashboards.

In this session, we will explore practical approaches to structuring data in Tableau so that dashboards remain accurate, scalable, and performant.

Using real world BI scenarios, this meetup will demonstrate how different modeling strategies such as star schemas, relationships, joins, and multi fact models affect dashboard behavior. We will also discuss common mistakes analysts make when combining tables and how the right data model can prevent issues like duplicate metrics, incorrect aggregations, and slow dashboards.

Through live examples in Tableau, we will compare multiple modeling approaches and discuss when to use each one depending on your data structure and analytical requirements.

What You Will Learn

• Why data modeling is critical for building accurate and reliable dashboards

• Understanding fact tables and dimension tables in analytics models

• How star schema models are commonly used in BI dashboards

• The difference between joins and relationships in Tableau

• When to use a One Big Table vs a normalized star schema

• How to model multiple fact tables such as sales and returns

• Avoiding common problems like duplicate rows and incorrect aggregations

• Practical tips for designing scalable Tableau data models

Speaker

Muhammad Taha
BI Engineer at ADDO AI

Register now and learn how to build stronger, more reliable Tableau dashboards through practical data modeling techniques with the Pakistan Tableau User Group.