Generative BI Dashboard Authoring Capabilities for Amazon QuickSight (Preview)

Amazon QuickSight

Introduction

In this guide, we will explore the new generative business intelligence (BI) dashboard authoring capabilities offered by Amazon QuickSight. With these capabilities, business analysts can now easily build powerful and insightful visualizations by simply using natural language. This preview version of Amazon QuickSight introduces three exciting features that enhance the visualization creation process, allow for complex calculations, and enable effortless refinement of dashboards using natural language prompts.

Table of Contents

  1. Overview of Generative BI Dashboard Authoring
  2. Building Visualizations Using Natural Language
  3. 2.1 Instant Rendering of Geographic Map Visualizations
  4. 2.2 Filtering by Time Period
  5. 2.3 Customizing Visualization Type
  6. Creating Complex Calculations in Seconds
  7. 3.1 Simplifying Advanced Calculation Syntax
  8. 3.2 Improved Calculation Speed and Accuracy
  9. Refining Dashboards with Natural Language Prompts
  10. 4.1 Streamlining Point-and-Click Operations
  11. 4.2 Enhancing Dashboard Interactivity
  12. Leveraging SEO Best Practices for QuickSight Dashboards
  13. 5.1 Optimizing Dashboard Metadata
  14. 5.2 Utilizing Relevant Keywords for Enhanced Visibility
  15. 5.3 Incorporating SEO-friendly Dashboard URLs
  16. Conclusion

1. Overview of Generative BI Dashboard Authoring

Generative BI dashboard authoring is an advanced feature in Amazon QuickSight that empowers business analysts to create visually appealing and insightful dashboards using natural language. This innovative approach eliminates the need for manual configuration and simplifies the visualization creation process. With the introduction of three new generative capabilities, QuickSight users can expect a significant improvement in dashboard authoring efficiency and accuracy.

2. Building Visualizations Using Natural Language

2.1 Instant Rendering of Geographic Map Visualizations

One of the key generative capabilities of Amazon QuickSight is the ability to instantly render geographic map visualizations based on user-specified criteria. For example, by simply entering the command, “Show me count of orders in 2023 by city as a map,” QuickSight will automatically configure a geographic map visualization. The visualization will display the count of orders for the year 2023, broken down by city. This feature saves time and effort by eliminating the need for manual map configuration.

2.2 Filtering by Time Period

Another powerful feature of QuickSight’s generative BI capabilities is the ability to filter data by a specific time period. By specifying a particular year or date range in natural language, business analysts can easily narrow down their visualizations to focus on specific periods. For instance, simply stating, “Show me sales data for the last quarter,” will filter the visualization to display sales data only from the previous quarter.

2.3 Customizing Visualization Type

QuickSight’s generative capabilities also extend to customizing the type of visualization based on natural language prompts. Users can easily specify the desired visualization type, such as a bar chart, line graph, or pie chart, without the need to manually configure the visualization settings. This enables business analysts to quickly switch between different visualization types to find the most suitable representation for their data.

3. Creating Complex Calculations in Seconds

3.1 Simplifying Advanced Calculation Syntax

Traditionally, building complex calculations in BI tools often required extensive knowledge of advanced calculation syntax, making it a time-consuming and challenging task for business analysts. However, with the new generative capabilities in QuickSight, complex calculations can be created in seconds by specifying the desired outcome in natural language. For example, stating, “Calculate the average revenue per customer” will generate the necessary calculations without the need for manual exploration of calculation syntax.

3.2 Improved Calculation Speed and Accuracy

In addition to simplifying complex calculations, QuickSight’s generative capabilities offer improved calculation speed and accuracy. The system leverages advanced algorithms and machine learning to rapidly process the natural language input and generate accurate calculations. This reduces the time spent on manual calculations and ensures the accuracy of the analyzed data.

4. Refining Dashboards with Natural Language Prompts

4.1 Streamlining Point-and-Click Operations

Traditionally, refining and tweaking dashboards required tedious point-and-click operations. However, with QuickSight’s generative capabilities, business analysts can now refine their dashboards using natural language prompts. For example, simply stating, “Increase the font size of this chart” will automatically adjust the font size without the need for manual configuration.

4.2 Enhancing Dashboard Interactivity

With generative BI capabilities, QuickSight allows for enhanced dashboard interactivity. Users can now engage with their dashboards using natural language prompts to filter data, change visualizations, or interact with specific elements on the dashboard. This promotes a seamless and efficient user experience, eliminating the need for manual interaction and reducing the learning curve for new users.

5. Leveraging SEO Best Practices for QuickSight Dashboards

5.1 Optimizing Dashboard Metadata

To improve the visibility of QuickSight dashboards in search engine results, it is essential to optimize the dashboard metadata. This includes adding relevant keywords to the dashboard title, description, and tags. By aligning the metadata with relevant search queries, the chances of the dashboard appearing in search results increase significantly.

5.2 Utilizing Relevant Keywords for Enhanced Visibility

To further enhance the visibility of QuickSight dashboards, it is crucial to incorporate relevant keywords throughout the dashboard content. This includes using keywords in dashboard titles, visualizations, and data labels. By including these keywords naturally and strategically, search engines are better able to understand the content and rank the dashboard accordingly.

5.3 Incorporating SEO-friendly Dashboard URLs

Creating SEO-friendly dashboard URLs is another effective way to boost the visibility of QuickSight dashboards. By incorporating relevant keywords in the URL structure, the dashboard becomes more discoverable by search engines. This can be achieved by customizing the URL to reflect the dashboard’s topic or content, making it more SEO-friendly.

6. Conclusion

In this comprehensive guide, we explored the generative BI dashboard authoring capabilities offered by Amazon QuickSight. The introduction of these advanced features has revolutionized the dashboard creation process, empowering business analysts to build visually stunning and insightful visualizations using natural language. QuickSight’s generative capabilities enhance the efficiency and accuracy of dashboard authoring, simplify complex calculations, streamline point-and-click operations, and enable enhanced dashboard interactivity. By leveraging SEO best practices, QuickSight users can further optimize their dashboards for increased visibility in search engine results. Embrace QuickSight’s generative BI capabilities, and unlock the full potential of your data-driven decision-making process.