Скачать или смотреть Creating Guided Analysis Questions in Zing Data

In this tutorial, we'll walk you through creating guided analyses in Zing Data -- providing easy to use, trusted, structured inputs with the full power of SQL and even CTEs and subqueries.

📊 What You'll Learn:
How to set up guided analyses in Zing Data
The benefits of using guided analyses for your team
Step-by-step process of creating a guided analysis
Tips for crafting effective SQL queries for guided analyses
How to incorporate dynamic fields and multi-select options

🔍 Why Guided Analyses?
Guided analyses allow you to create pre-defined paths for data exploration, making it easier for non-technical team members to access and interpret complex data without needing to write SQL. This feature combines the flexibility of custom SQL with an intuitive user interface, opening up new possibilities for data-driven decision making across your organization.


🛠️ Tutorial Highlights:
Accessing the Data Sources menu
Setting up a new example analysis
Defining dynamic fields for user input
Writing SQL queries with dynamic field integration
Testing and refining your guided analysis
Using the search bar to access guided analyses
Combining guided analyses with natural language queries

💡 Pro Tips:
Learn how to use the "IN" operator for multi-select functionality
Discover how color-coded dynamic fields show up in SQL queries
Understand the balance between structured inputs and flexible analysis

Whether you're a data analyst looking to empower your team or a business user wanting to dive deeper into data analysis, this tutorial will help you harness the full potential of Zing Data's guided analysis feature.


Want to learn more?
Check out our blog post for an in-depth look at guided analysis:
https://getzingdata.com/blog/guided-a...


Try Zing Data for free and start creating your own guided analyses today! Visit https://getzingdata.com to get started.