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Revolutionize Data Insights with Set and Parameter Actions

Have you ever told stakeholders, 'This analysis is not possible'? Or wished to reimagine analytics to make it more interactive—and fun? Set and parameter actions could be the answer."

, Lead Solution Engineer, Salesforce

Role: Data Analyst

Topic: Data Culture, Visualization and Analysis

Session Type: Breakout

Session Level: Advanced

Session Track: Product & Industry

Monday, Apr 298:30 AM - 9:10 AM PDT

(3:30 PM - 4:10 PM GMT)
Breakout 03 -- Room 4
Tuesday, Apr 303:00 PM - 3:40 PM PDT

(10:00 PM - 10:40 PM GMT)
Breakout 04 -- Ballroom 20C

Session Summary by Einstein: The session at the recent Salesforce conference delved into the transformative power of Tableau's set and parameter actions, showcasing their ability to enhance data interactivity and user experience. An expert with over eight years at Tableau demonstrated these features through practical examples, including territory planning, event planning with a Taylor Swift tour concept, and analyzing the London housing market. Attendees learned how to solve complex business problems, create dynamic user experiences, and facilitate richer analytics that cater to various stakeholders. The session also provided a framework to help decide when to use set versus parameter actions based on the need to store individual or multiple values, work across multiple data sources, or pass values outside of Tableau.

Key Takeaways by Einstein:

• Set and parameter actions in Tableau enable users to store selections and design intricate interactions between dashboard views, allowing for more nuanced analysis and data storytelling.

• Practical applications demonstrated included territory planning for sales managers, unique event planning scenarios, and dynamic financial projections, revealing the versatility of these Tableau features in business contexts.

• A decision framework was introduced to assist users in choosing between set and parameter actions based on specific criteria, such as value storage, data source multiplicity, level of detail, and external data passage.

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