I used to use Tableau during the data exploitation and reporting stages until I started using AWS QuickSight. AWS QuickSight is composed of Quick and Sight. After using it, I feel QuickSight is too quick and too insightful. Due to my Tableau background, I found out that QuickSight is very similar to Tableau and it also has some features that Tableau doesn't have. In this project, I'll show you my experience of using AWS QuickSight.

You can edit your data directly in QuickSight, excluding rows, creating calculated fields, and so on. It's also very easy to change your data type before you start creating your visuals.

Top Contributors
If you find anything unusual, you can choose that point and try to find out the top four contributors to it. For instance, in my demo dataset, I saw a drastic drop in revenue, so I picked four columns to see how much they caused this drop.

It's very easy to predict your trend in QuickSight. With just a simple click, QuickSight would generate a future trend by using the random forest algorithm. You can choose your confidence interval and periods backward.

Creating a donut chart and KPI is very easy as well.

Creating a pivot table in QuickSight is as simple as in Excel. Adding a reference line and some icons in your table could draw more attention in your presentation.

It's very important to create some filters if you want to have an interactive dashboard. QuickSight provides this feature for you.

This is the most impressive function that I've ever seen in a BI tool. Just by clicking insights, you are able to see all the insights generated by AWS. You could choose to edit these insights and add your own thoughts. Too quick and too insightful.

Software used: AWS QuickSight