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Hands-On Business Intelligence with Qlik Sense

Hands-On Business Intelligence with Qlik Sense

By : Labbe, Clever Anjos , Solanki, DiMaso
3.3 (4)
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Hands-On Business Intelligence with Qlik Sense

Hands-On Business Intelligence with Qlik Sense

3.3 (4)
By: Labbe, Clever Anjos , Solanki, 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)
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1
Section 1: Qlik Sense and Business Intelligence
3
Section 2: Data Loading and Modeling
6
Section 3: Building an Analytical Application
11
Section 4: Additional Features

Creating a Sales Analysis App Using Qlik Sense

In this chapter, we will create a sales analysis application to explore and analyze the data model that we created in Chapter 2, Loading Data in Qlik Sense.

While developing the application, we will apply the Dashboard, Analysis, Reporting (DAR) methodology that we explained in Chapter 4, Working with Application Structures.

We will create create four sheets, each with a very specific purpose, as follows:

  • The dashboard sheet will give us a quick overview of the key performance indicators of sales amounts, average discount percentages, and the number of orders. It will also show us the sales share by category, the sales by top 10 customers, and a map showing the sales statistics for each country.
  • The customer analysis sheet will help our users to understand how the sales are performing based on the customer, and which customers are...
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