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Data Apps in Sigma Computing

Mar 24, 2025By Shruti N
Shruti N

What Are Data Apps in Sigma Computing?

Sigma Computing enables teams to create interactive, no-code data applications (data apps) directly within the platform. These apps allow business users to explore, filter, and interact with data without requiring SQL expertise.

Key Features:

  • No-Code Interface: Build apps with drag-and-drop elements.
  • Live Data Interaction: Query data in real-time without exporting.
  • Custom UI Components: Use buttons, dropdowns, and filters for better experience.
  • Security & Access Control: Share insights securely with role-based permissions

How to Build a Data App 

Creating a data app involves structuring data, defining user interactions, and enabling real-time updates. Here’s a step-by-step guide:

  • Step 1: Define the Purpose
    • Identify the business problem the app will solve.
    • Determine key metrics and data sources.
  • Step 2: Prepare Your Data
    • Connect to data sources (Snowflake, Google BigQuery, etc.).
    • Clean and structure data for easy access.
  • Step 3: Design the User Interface
    • Use Input Tables for user-driven data filtering.
    • Add Dropdowns and Buttons for interactivity.
    • Configure Conditional Formatting for highlighting insights.
  • Step 4: Add Real-Time Interactivity
    • Use Sigma’s parameter feature to dynamically update charts and tables.
    • Set up Drilldowns to allow users to explore granular details.
  • Step 5: Publish and Share
    • Set permissions for different user roles.
    • Embed the app within dashboards or external platforms.

Interactive Features That Make Data Apps Powerful

  • Parameterized Filters
    • Let users adjust filters dynamically without modifying queries.
    • Example: A dropdown to select different product categories and update sales reports instantly.
  • Dynamic Calculations
    • Users can modify input values, triggering real-time calculations.
    • Example: A sales projection tool where users enter expected growth rates to update charts.
  • Drill-Through Capabilities
    • Click on data points to explore detailed records.
    • Example: Clicking on a country in a global sales map to view regional breakdowns.
  • Embedded Workflows
    • Integrate apps into other platforms like Slack or web portals.
    • Example: A finance app that pulls live revenue data into executive dashboards

Real-World Use Cases 

  1. Sales Performance Dashboard
    • Track regional and product-wise sales with interactive selectors.
    • Users filter by timeframe, product category, and sales team.
  2. Financial Forecasting Tool
    • Allows finance teams to simulate revenue scenarios.
    • Users input expected costs and revenue trends to update forecasts.
  3. Customer Support Insights
    • Displays real-time customer feedback and support ticket trends.
    • Users filter by sentiment, agent, and response time.
  4. Inventory Management System
    • Helps supply chain teams track stock levels and predict shortages.
    • Users select warehouse locations to view inventory data.

Importance

Data apps bridge the gap between data teams and business users. They make insights actionable without requiring advanced analytics skills. By using interactive components, organizations can ensure that data is not just stored but actively used for better decision-making.

Conclusion

Building data apps in Sigma Computing transforms raw data into interactive experiences. With minimal effort, teams can create powerful applications that drive meaningful insights.

Want to see Sigma data apps in action? Start experimenting today with interactive dashboards that fit your business needs!