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Hands-On Business Intelligence with Qlik Sense

You're reading from   Hands-On Business Intelligence with Qlik Sense Implement self-service data analytics with insights and guidance from Qlik Sense experts

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789800944
Length 442 pages
Edition 1st Edition
Languages
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Authors (4):
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Kaushik Solanki Kaushik Solanki
Author Profile Icon Kaushik Solanki
Kaushik Solanki
Clever Anjos Clever Anjos
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Clever Anjos
Jerry DiMaso Jerry DiMaso
Author Profile Icon Jerry DiMaso
Jerry DiMaso
Pablo Labbe Pablo Labbe
Author Profile Icon Pablo Labbe
Pablo Labbe
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Qlik Sense and Business Intelligence FREE CHAPTER
2. Getting Started with Qlik Sense 3. Section 2: Data Loading and Modeling
4. Loading Data in Qlik Sense 5. Implementing Data Modeling Techniques 6. Section 3: Building an Analytical Application
7. Working with Application Structure 8. Creating a Sales Analysis App Using Qlik Sense 9. Interacting with Advanced Expressions 10. Creating Data Stories 11. Section 4: Additional Features
12. Engaging On-Demand App Generation 13. Creating a Native Map Using GeoAnalytics 14. Working with Self-Service Analytics 15. Data Forecasting Using Advanced Analytics 16. Deploying Qlik Sense Apps for Mobile/Tablets 17. Other Books You May Enjoy

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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