Book Image

Learning Qlik Sense??: The Official Guide Second Edition - Second Edition

By : Christopher Ilacqua, QlikTech International AB, Henric Cronström, James Richardson
Book Image

Learning Qlik Sense??: The Official Guide Second Edition - Second Edition

By: Christopher Ilacqua, QlikTech International AB, Henric Cronström, James Richardson

Overview of this book

The intuitive and powerful Qlik Sense visual analytics software allows anyone to engage in data discovery, to explore your data, and find meaningful insights to empower your business. Qlik Sense lets you easily create personalized reports and visualizations and reveal essential connections to show new opportunities from every angle. Written by members of the Qlik Sense team, this book is the official guide from Qlik to understanding and using their powerful new product with fully updated coverage to the latest features of the most modern edition of Qlik Sense. Benefit from the vision behind the development of Qlik Sense and get to grips with how Qlik Sense can empower you as a data discovery consumer. Learn how to create your own applications for Qlik Sense to customize it to meet your personal needs for business intelligence, and how to oversee and administer the Qlik Sense data architecture. Finally, explore utilizing Qlik Sense to uncover essential data, with practical examples on finding and visualizing intelligence for sales figures, human resources information, travel expense tracking, and demographic data discovery.

Related Content you might be interested in

Current Title:

Small book image
Learning Qlik Sense??: The Official Guide Second Edition - Second Edition
Christopher Ilacqua | QlikTech International AB | Henric Cronström | James Richardson
Dec, 2015 | 282 pages
No titles found
Table of Contents (21 chapters)
Learning Qlik Sense® The Official Guide Second Edition
Learning Qlik Sense® The Official Guide Second Edition
Credits
Credits
About the Authors
About the Authors
Acknowledgments
Acknowledgments
About the Reviewer
About the Reviewer
www.packtpub.com
www.packtpub.com
Preface
Preface
Free Chapter
1
Qlik Sense® and Data Discovery
Qlik Sense® and Data Discovery
Continuing disruption
Qlik Sense® and the QlikView.Next project
What is data discovery?
The Qlik way
Data discovery—the evolution of BI
Summary
2
Overview of a Qlik Sense® Application's Life Cycle
Overview of a Qlik Sense® Application's Life Cycle
Overview of an application's life cycle
Summary
3
Empowering Next Generation Data Discovery Consumers
Empowering Next Generation Data Discovery Consumers
Data discovery consumption requirements
Summary
4
Contributing to Data Discovery
Contributing to Data Discovery
Realities of the data discovery contributor
Creating and sharing stories
Summary
5
Authoring Engaging Applications
Authoring Engaging Applications
Preparations and requirements
Getting started with the app creation
Loading your data
The analysis interface—sheets and visualizations
The application library
Best practices in data visualization
Migrating applications from QlikView® to Qlik Sense®
Publishing your apps
Summary
6
Building Qlik Sense® Data Models
Building Qlik Sense® Data Models
The QIX engine
The Qlik Sense® data model
Structuring your data
The data model viewer
Summary
7
Qlik Sense® Apps in the Cloud
Qlik Sense® Apps in the Cloud
Why use the cloud?
Using Qlik Sense® apps in the cloud
Using the Qlik DataMarket® content
Adding the QlikMarket® data
Summary
8
Extending the Qlik Analytic Platform
Extending the Qlik Analytic Platform
Qlik Dev Hub
Developer community – Qlik Branch
Summary
9
Administering Qlik Sense®
Administering Qlik Sense®
The Qlik Sense® architecture
Deployment and licensing
Management and monitoring
Security
Summary
10
Sales Discovery
Sales Discovery
The business problem
Application features
Summary
11
Human Resource Discovery
Human Resource Discovery
The business problem
Application features
How the application was developed
Summary
12
Travel Expense Discovery
Travel Expense Discovery
The business problem
Application features
Developing the application
Summary
13
Demographic Data Discovery
Demographic Data Discovery
Problem analysis
Application features
How the application was developed
Summary
Index
Index

The business problem

The term Human Resources analysis covers a wide area of KPIs that use data from a number of different data sources.

It could be that you want to analyze in-house data, for example, the efficiency of the recruitment process and the costs tied to it. It could just as well be analysis of external data, for example, different employee surveys or sentiment analysis on social media.

Just to give you an idea, we have compiled a list of some of the most common areas to investigate when preparing a Human Resources analysis:

  • Recruitment: This measures the efficiency of the recruitment process, for example, what is the recruitment cost per employee? What is the average lead time to recruit?

  • Employee satisfaction and retention: This measures employee loyalty, for example, what is the average satisfaction (as measured by a survey)? What is the employee turnover?

  • Training: This covers the following questions as examples: What is the total expenditure on training? What percentage of...

Previous Section
End of Section 2
Next Section