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)
Section 1: Introduction to Amazon QuickSight and the AWS Analytics Ecosystem
Section 2: Advanced Dashboarding and Insights
Section 3: Advanced Topics and Management

Using filters and parameters

Users can interact with dashboards by clicking on specific areas of the application or hovering over a visual to get additional information on specific data points. As a BI developer, you might come across scenarios where you will need to add additional interactivity to your dashboards, allowing your users to filter datasets or implement specific actions. In this section, we will learn how to leverage those specific QuickSight features to add interactivity to our dashboards. We will provide hands-on examples while using the New York dataset and dashboard we developed earlier in Chapter 4, Developing Visuals and Dashboards. But first, we will need to understand how to use QuickSight filters.

Working with filters

QuickSight authors can filter datasets. For example, you can use filtering when you need to refine a dataset before you visualize it. You can control the scope of the QuickSight filters so that they can be applied to the visuals you want. Filtering...