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

Creating the dashboard sheet

Before we begin creating the dashboard, we need to review the information that is required by the business. The case study that we will address is as follows.

Suppose that the company is a worldwide wholesale seller of food and beverages. This means that they need to review information about the sales in several countries. They need to know their performance in each of them, and they require this information to be detailed by the customer name, category name, and product name. They also need to know the average percentage of discounts, how many orders they have issued, and the total sales amount. Each of these key indicators should be dictated by the month and year.

That explains the basis for this case. We need to find the perfect solution by accessing the right dashboard and displaying all of the data in the most consolidated fashion. Let's...