Book Image

Effective Business Intelligence with QuickSight

By : Rajesh Nadipalli
Book Image

Effective Business Intelligence with QuickSight

By: Rajesh Nadipalli

Overview of this book

Amazon QuickSight is the next-generation Business Intelligence (BI) cloud service that can help you build interactive visualizations on top of various data sources hosted on Amazon Cloud Infrastructure. QuickSight delivers responsive insights into big data and enables organizations to quickly democratize data visualizations and scale to hundreds of users at a fraction of the cost when compared to traditional BI tools. This book begins with an introduction to Amazon QuickSight, feature differentiators from traditional BI tools, and how it fits in the overall AWS big data ecosystem. With practical examples, you will find tips and techniques to load your data to AWS, prepare it, and finally visualize it using QuickSight. You will learn how to build interactive charts, reports, dashboards, and stories using QuickSight and share with others using just your browser and mobile app. The book also provides a blueprint to build a real-life big data project on top of AWS Data Lake Solution and demonstrates how to build a modern data lake on the cloud with governance, data catalog, and analysis. It reviews the current product shortcomings, features in the roadmap, and how to provide feedback to AWS. Grow your profits, improve your products, and beat your competitors.
Table of Contents (15 chapters)
Effective Business Intelligence with QuickSight
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Current BI landscape


Over the last 20 years, several vendors have built products to satisfy BI needs for organizations and this space is pretty crowded with big vendors and niche players that include Tableau desktop, Oracle OBIEE, SAP Business Objects, IBM Cognos, Qlick, and DOMO. Let's review the key features provided by the BI vendors.

Key features provided by BI tools

Most of the features offered by BI vendors fit into one of these categories:

  • Interactive reports: It helps users to analyze data and support decision-making using slice-and-dice, drill down, trends, averages, percentile, and support ad hoc queries with ability to export data/charts.

  • Executive dashboards: It presents data to business leaders in easy-to-understand Key Performance Indicators (KPI) and summary charts/tables. These dashboards are typically refreshed at regular intervals (weekly, monthly, or quarterly) based on the business need.

  • Integrations: Integrates with various data sources to report stats on them and then publish results to websites, e-mails, and social media.

  • Metadata management: It tracks the relationships between datasets, calculations, and hierarchies.