Building a Real-Time Dashboard over BigQuery with Onvo AI: A Simple Guide

Onvo Team -

In today's business world, making decisions based on data is essential. While Google BigQuery is great for storing large amounts of data, turning that data into easy-to-read dashboards can be challenging. Onvo AI solves this problem by helping you create fast, easy to use dashboards using your BigQuery data without needing to write complex code.

Why BigQuery Dashboards Can Be Challenging

Google BigQuery is a powerful tool for storing and analyzing massive datasets, but when it comes to creating interactive dashboards, many businesses face significant hurdles. Traditional approaches to BigQuery visualization often result in dashboards that are slow to load, expensive to maintain, and difficult to build.

The most common challenges include:

  • Slow query times: BigQuery queries can take several seconds or minutes to run, which isn't fast enough for interactive dashboards
  • High costs: Running many queries on large datasets can quickly become expensive
  • Technical complexity: Building custom dashboards often requires specialized programming skills

These limitations often force companies to compromise between data freshness, dashboard performance, and development costs.

How Onvo AI Makes BigQuery Dashboards Simple

Onvo AI bridges the gap between BigQuery's powerful data storage capabilities and your need for fast, interactive dashboards. Our platform handles the technical complexities so you can focus on extracting insights from your data.

Rather than requiring complex data engineering, Onvo AI provides a straightforward approach to building BigQuery dashboards that anyone in your organization can use.

How It Works in Four Simple Steps

The process of creating BigQuery dashboards with Onvo AI follows a logical flow:

  1. Connect to BigQuery: Link your Google BigQuery account through our easy-to-use integration page. This secure connection gives Onvo AI access to your data without compromising security.
  2. Create datasources: Select the specific tables and datasets from BigQuery that you want to use in your dashboards. These datasources form the foundation of your analytics experience.
  3. Build your dashboard: Use our drag-and-drop tools and AI prompts to create charts, tables, and other visualizations. The visual interface makes it easy to transform complex data into clear insights.
  4. Deploy your dashboards: Watch your dashboard update automatically as you load the dashboard. This visibility ensures you're always making decisions based on the latest information.

Key Benefits of Using Onvo AI with BigQuery

Creating professional dashboards shouldn't require a computer science degree. Onvo AI's intuitive interface makes it possible for anyone to build impressive, interactive dashboards regardless of their technical background.

Our no-code approach features:

  • A comprehensive library of visualization components
  • Simple point-and-click connection to your BigQuery data
  • Flexible design tools to create branded, professional visualizations
  • Secure sharing options for team collaboration

This democratization of data access means insights from your BigQuery data can reach everyone who needs them.

Beyond basic visualization, Onvo AI incorporates artificial intelligence to help you get more from your BigQuery data. These advanced capabilities transform raw data into actionable business intelligence.

Getting Started with Onvo AI for BigQuery Dashboards

Before you begin, make sure you have:

  • A Google Cloud Platform account with BigQuery enabled
  • Access to your BigQuery datasets
  • An Onvo AI account (learn more at www.onvo.ai)

Step 1: Connect to BigQuery

Establishing a connection between Onvo AI and BigQuery is straightforward and secure. The process preserves all your existing security settings while enabling Onvo AI to access the data you specify.

To connect your BigQuery account:

  1. Log in to your Onvo AI account
  2. Go to the "Integration" page
  3. Click on "Google BigQuery"
  4. Follow the steps to authorize with your Google account
  5. Verify that the connection is working

Once the connection is established, Onvo AI will now be able to access your datasets from Big Query.

Step 2: Set Up Your Data Sources

Data sources in Onvo AI define which specific tables, views, and fields from BigQuery will be available for your dashboards. This step is crucial as it creates the foundation for all your visualizations.

After connecting to BigQuery:

  1. Go to the "Datasources" section
  2. Click "Create New Datasource"
  3. Select your BigQuery connection
  4. Browse and select the tables you want to use
  5. Choose which fields and metrics you need
  6. Give your datasource a clear name
  7. Save your settings

You can create multiple datasources to organize your data logically or to reflect different business domains.

Step 3: Create Your Dashboard

With your datasources defined, you're ready to build interactive dashboards that bring your BigQuery data to life. Onvo AI provides a flexible canvas where you can arrange various visualization components to tell your data story.

Building your dashboard is a visual process:

  1. Navigate to the "Dashboards" section in the main menu
  2. Select "Create New Dashboard" and give it a meaningful name
  3. Use the "Ask AI" interface to describe and generate visualizations you need
  4. Refine each visualization with follow-up requests until it meets your requirements
  5. Click "Add to Dashboard" to include the finalized visualization
  6. Arrange your dashboard by dragging widgets to logical positions and resizing as needed
  7. Add filters to make your dashboard interactive and allow for data exploration
  8. Open Dashboard Settings to customize colors, fonts, and layouts to match your brand
  9. Use Preview mode to experience your dashboard exactly as your users will see it
  10. Save and publish when you're satisfied with the result

The interface makes it easy to experiment with different visualizations until you find the perfect way to represent your BigQuery data.

Step 4: Share with Your Team

Insights are most valuable when shared with the right people. Onvo AI makes it easy to distribute your BigQuery dashboards securely to stakeholders across your organization.

When your dashboard is ready:

  1. Click the "Share" button in the top-right corner of your dashboard and configure access permissions
  2. Generate unique shareable links for specific team members or departments
  3. Schedule automated reports to be delivered via email:
    1. Select frequency (daily, weekly, monthly)
    2. Choose format (PDF, Excel, CSV)
    3. Add recipients and customize message
  4. Embed your dashboard within existing software products. Use the white-label embedding feature for seamless integration
  5. Maintain your brand identity throughout the user experience and control visibility of specific dashboards and views for different user segments

This collaborative approach ensures everyone works from the same data and understands key metrics consistently.

Case Study: How an Ecommerce Store Uses Onvo AI with BigQuery

Understanding how others use Onvo AI with BigQuery can help you envision possibilities for your own data. Here's a practical example from an e-commerce company that transformed their analytics approach.

This online retail business was struggling with disjointed reports and delayed insights despite having all their data in BigQuery. By implementing Onvo AI, they created a unified analytics environment that delivered immediate value.

Their implementation followed these steps:

  1. Data in BigQuery: The company already stored all their sales data, product information, customer details, and inventory in Google BigQuery. This provided an excellent foundation for advanced analytics.
  2. Connection to Onvo AI: Their data team connected their BigQuery account to Onvo AI in just a few minutes, establishing a secure link between the systems without disrupting existing operations.
  3. Custom data sources: They created four main data sources in Onvo AI:
    • Sales data showing orders and revenue across different channels
    • Product data highlighting performance metrics for their catalog
    • Customer information revealing segmentation and buying patterns
    • Inventory data tracking stock levels and movement across warehouses
  4. Helpful dashboards: With these data sources, they built several interconnected dashboards:
    • A sales dashboard showing real-time revenue by product type and location
    • A marketing dashboard revealing campaign performance and ROI
    • An inventory dashboard highlighting products needing restocking
    • A customer dashboard showing behavior patterns and lifetime value
  5. Business improvements: The impact on their business was substantial and measurable:
    • Marketing team identified underperforming campaigns within hours instead of days
    • Inventory team reduced out-of-stock situations by 37%
    • Executive team could respond quickly to market changes
    • Customer service improved through data-driven personalization

This real-world example demonstrates how Onvo AI transforms BigQuery from a powerful but complex data repository into an accessible source of business intelligence that drives concrete improvements.

Transform Your BigQuery Experience with Onvo AI

Creating powerful dashboards with your BigQuery data doesn't have to be complicated or expensive. Onvo AI provides an intuitive platform that transforms how you visualize and interact with your data, making insights accessible to everyone in your organization.

Our approach combines technical excellence with ease of use, ensuring you get maximum value from your BigQuery investment without requiring specialized technical skills or expensive development resources.

Ready to experience the transformative power of Onvo AI for your BigQuery analytics? Visit www.onvo.ai/book-demo today to sign up for a free trial and discover how our platform can revolutionize your approach to data-driven decision making.