- What are two types of data modeling technique?
- Which technique is most suitable for Qlik Sense and why?
- Which joining condition should we use to get all data from the left table?
- What precaution should we take while using joins?
- What is NoConcatenation? When should we use it?
- What is the link table? Can the link table help in removing the synthetic table? If yes, how?
- In what scenario would we use canonical dates?
- Why should we use the As-Of Table?
- How do we optimize the script?
Hands-On Business Intelligence with Qlik Sense
By :
Hands-On Business Intelligence with Qlik Sense
By:
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.
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Current Title:
Hands-On Business Intelligence with Qlik Sense
Table of Contents (18 chapters)
Preface
Free Chapter
Section 1: Qlik Sense and Business Intelligence
Getting Started with Qlik Sense
Section 2: Data Loading and Modeling
Loading Data in Qlik Sense
Implementing Data Modeling Techniques
Section 3: Building an Analytical Application
Working with Application Structure
Creating a Sales Analysis App Using Qlik Sense
Interacting with Advanced Expressions
Creating Data Stories
Section 4: Additional Features
Engaging On-Demand App Generation
Creating a Native Map Using GeoAnalytics
Working with Self-Service Analytics
Data Forecasting Using Advanced Analytics
Deploying Qlik Sense Apps for Mobile/Tablets
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