Book Image

Hands-On Business Intelligence with Qlik Sense

By : Pablo Labbe, Clever Anjos, Kaushik Solanki, Jerry DiMaso
Book Image

Hands-On Business Intelligence with Qlik Sense

By: Pablo Labbe, Clever Anjos, Kaushik Solanki, Jerry DiMaso

Overview of this book

Qlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions. Hands-On Business Intelligence with Qlik Sense begins by helping you get to grips with underlying Qlik concepts and gives you an overview of all Qlik Sense’s features. You will learn advanced modeling techniques and learn how to analyze the data loaded using a variety of visualization objects. You’ll also be trained on how to share apps through Qlik Sense Enterprise and Qlik Sense Cloud and how to perform aggregation with AGGR. As you progress through the chapters, you’ll explore the stories feature to create data-driven presentations and update an existing story. This book will guide you through the GeoAnalytics feature with the geo-mapping object and GeoAnalytics connector. Furthermore, you’ll learn about the self-service analytics features and perform data forecasting using advanced analytics. Lastly, you’ll deploy Qlik Sense apps for mobile and tablet. By the end of this book, you will be well-equipped to run successful business intelligence applications using Qlik Sense's functionality, data modeling techniques, and visualization best practices.
Table of Contents (18 chapters)
Free Chapter
Section 1: Qlik Sense and Business Intelligence
Section 2: Data Loading and Modeling
Section 3: Building an Analytical Application
Section 4: Additional Features

Application overview

A Qlik Sense application combines data in the form of a structured data model, visualizations, sheets, and stories. Dimensions, measures, and visualizations can be created as data items that can be reused between several visualizations (charts) and sheets (visualizations).

Let's take a look at each of these application components in brief. The components of an application are as follows:

  • Data model: A data model contains all the data that is loaded by the load script as well as several tables, each connected by unique fields. Every time we change the data load script, we reload the application to update the data model.
  • Measures: Measures contain expressions that we can implement in visualizations. These expressions have one or several field aggregate functions, such as sum, avg, min, and max. Changes in the measure expressions affect all related visualizations...