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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

Implementing Data Modeling Techniques

In this chapter, we are going to focus on the basic concept of data modeling. We will look at the various types of the data modeling techniques and learn which technique is best suited for the Qlik Sense dashboards. We will also learn about the methods for linking data with each other using joins and concatenation. We will throw some light on how to we filter unwanted data while loading the data.

We will learn about the Qlik Data format, QlikView Data (QVD), and why it should be used in the data modeling. We will also look at how to link multiple tables with different granularity (granularity being the level of data that is stored in the tables) of data using the link table.

We will see how to handle the situation in which multiple dates are involved in the data model and situations when you want to calculate the accumulated values and rolling...

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