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
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

Interacting with Advanced Expressions

In this chapter, we are going to learn about the power of calculation engines. After reading this, you will understand how to create a calculation with conditions, as well as how to use the aggregation scope, inter-record functions, and advanced aggregation with the AGGR function. Finally, you will learn how to use Set Analysis to create a calculation with very specific data.

For each topic, we will create several visualizations to help us interact with the expressions and also use some additional functions to check whether there is selected data on fields.

The following topics will be covered in this chapter:

  • Creating calculations with conditions
  • Using TOTAL for aggregation scope
  • Using some useful inter-record functions
  • Using AGGR for advanced aggregation
  • Leveraging Set Analysis for in-calculation selection
...