Amazon Quicksight - Iterative Analysis Dashboards

Create Multiple Iterations of Analysis in Quicksight

Question

A business intelligence development team wants to create visual dashboards and share it with their users.

They are planning on using Amazon Quicksight.

The users would want to create multiple iterations of an analysis.

Which of the following feature in Quicksight can help them accomplish this?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Answer - C.

You can use all of these options but in the end to create multiple iterations of an analysis, you need to make use of Stories.

The AWS Documentation mentions the following.

You can use a story to preserve multiple iterations of an analysis and then play them sequentially to provide a narrative about the analysis data.

For example, you might want to see several versions of the analysis, all with the same charts but with different filters applied.

Option A is incorrect since this is used to read-only snapshot of an analysis that you can share with other Amazon QuickSight users for reporting purposes.

Option B is incorrect since this is just graphical representation of your data.

Option D is incorrect since this can be used to work with your existing data.

For more information on working with stories, please visit the url.

https://docs.aws.amazon.com/quicksight/latest/user/working-with-stories.html

The correct answer is C. Stories.

Amazon QuickSight is a cloud-based business intelligence (BI) service that allows users to create interactive visualizations and dashboards from their data. QuickSight includes several features that allow users to explore their data and create powerful analyses, including dashboards, visuals, stories, and functions.

Dashboards in QuickSight are collections of visualizations that are designed to give users an at-a-glance view of their data. Dashboards are typically used to monitor key performance indicators (KPIs) and other metrics in real-time. While dashboards can be shared with other users, they are static and cannot be modified or iterated upon by other users.

Visuals in QuickSight are individual charts, graphs, and other types of visualizations that can be added to a dashboard or used in other types of analyses. While visuals can be customized and modified, they are still static and cannot be iterated upon by other users.

Stories in QuickSight are a powerful feature that allows users to create a sequence of visualizations and narratives that tell a story about their data. Stories can be used to explore different aspects of the data and to create multiple iterations of an analysis. Users can create stories that include multiple visuals and interactive elements, and they can share these stories with other users who can then modify and iterate upon them as needed.

Functions in QuickSight are pre-built calculations that can be used to create custom metrics and other types of calculations. While functions can be used to create powerful analyses, they do not enable users to create multiple iterations of an analysis or to explore their data in an interactive way.

In summary, the feature in QuickSight that can help a business intelligence development team create multiple iterations of an analysis and share it with their users is C. Stories.