Book Image

Qlik Sense: Advanced Data Visualization for Your Organization

By : Henric Cronström, Ferran Garcia Pagans, Neeraj Kharpate, James Richardson, Philip Hand
Book Image

Qlik Sense: Advanced Data Visualization for Your Organization

By: Henric Cronström, Ferran Garcia Pagans, Neeraj Kharpate, James Richardson, Philip Hand

Overview of this book

Qlik Sense is powerful and creative visual analytics software that allows users to discover data, explore it, and dig out meaningful insights in order to make a profit and make decisions for your business. This course begins by introducing you to the features and functions of the most modern edition of Qlik Sense so you get to grips with the application. The course will teach you how to administer the data architecture in Qlik Sense, enabling you to customize your own Qlik Sense application for your business intelligence needs. It also contains numerous recipes to help you overcome challenging situations while creating fully featured desktop applications in Qlik Sense. It explains how to combine Rattle and Qlik Sense Desktop to apply predictive analytics to your data to develop real-world interactive data applications. The course includes premium content from three of our most popular books: [*] Learning Qlik Sense: The Official Guide Second Edition [*] Qlik Sense Cookbook [*] Predictive Analytics using Rattle and Qlik Sense On completion of this course, you will be self-sufficient in improving your data analysis and will know how to apply predictive analytics to your datasets. Through this course, you will be able to create predictive models and data applications, allowing you to explore your data insights much deeper.
Table of Contents (5 chapters)

Chapter 1. Getting Ready with Predictive Analytics

Analytics, predictive analytics, and data visualization are trendy topics today. The reasons are:

  • Today a lot of internal and external data is available
  • Technology to use this data has evolved a lot
  • It is commonly accepted that there is a lot of value that can be extracted from data

As in many trendy topics, there is a lot of confusion around it. In this chapter, we will cover the following concepts:

  • Introducing the key concepts of the book and tools we're going to use
  • Defining analytics, predictive analytics, and data visualization
  • Explaining the purpose of this book and the methodology we'll follow
  • Covering the installation of the environment we'll use to create examples of applications in each chapter

After this chapter, we'll learn how to use our data to make predictions that will add value to our organizations. Before starting a data project, you always need to understand how your project will add value to the...