Book Image

Actionable Insights with Amazon QuickSight

By : Manos Samatas
Book Image

Actionable Insights with Amazon QuickSight

By: Manos Samatas

Overview of this book

Amazon Quicksight is an exciting new visualization that rivals PowerBI and Tableau, bringing several exciting features to the table – but sadly, there aren’t many resources out there that can help you learn the ropes. This book seeks to remedy that with the help of an AWS-certified expert who will help you leverage its full capabilities. After learning QuickSight’s fundamental concepts and how to configure data sources, you’ll be introduced to the main analysis-building functionality of QuickSight to develop visuals and dashboards, and explore how to develop and share interactive dashboards with parameters and on-screen controls. You’ll dive into advanced filtering options with URL actions before learning how to set up alerts and scheduled reports. Next, you’ll familiarize yourself with the types of insights before getting to grips with adding ML insights such as forecasting capabilities, analyzing time series data, adding narratives, and outlier detection to your dashboards. You’ll also explore patterns to automate operations and look closer into the API actions that allow us to control settings. Finally, you’ll learn advanced topics such as embedded dashboards and multitenancy. By the end of this book, you’ll be well-versed with QuickSight’s BI and analytics functionalities that will help you create BI apps with ML capabilities.
Table of Contents (15 chapters)
1
Section 1: Introduction to Amazon QuickSight and the AWS Analytics Ecosystem
6
Section 2: Advanced Dashboarding and Insights
10
Section 3: Advanced Topics and Management

Summary

Congratulations on completing this chapter! In this chapter, we learned how to add interactivity to our dashboards. We learned how to add QuickSight parameters and on-screen controls to filter the data of our analysis following user input. We also learned how to configure the three types of actions: the filter action, the navigation action, and the URL action. Using these features, you will be able to create BI applications, with interactive controls enhancing the user experience of your BI applications. With the actions we learned about in this chapter, your users will be able to perform single-click filtering, navigate easily between multiple sheets, and open external websites that provide additional context.

In the next chapter, we will learn how to use insights and add machine learning to our analyses.