Qlik Sense: Advanced Data Visualization for Your Organization

Perform Interactive Data Analysis with Smarter Visualizations and Support your Enterprise-wide Analytical Needs
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Qlik Sense: Advanced Data Visualization for Your Organization

Dr. Christopher Ilacqua et al.

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Perform Interactive Data Analysis with Smarter Visualizations and Support your Enterprise-wide Analytical Needs

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Book Details

ISBN 139781788994927
Paperback764 pages

Book Description

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

Chapter 1: 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
Chapter 2: Overview of a Qlik Sense® Application's Life Cycle
Overview of an application's life cycle
Summary
Chapter 3: Empowering Next Generation Data Discovery Consumers
Data discovery consumption requirements
Summary
Chapter 4: Contributing to Data Discovery
Realities of the data discovery contributor
Creating and sharing stories
Summary
Chapter 5: 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
Chapter 6: Building Qlik Sense® Data Models
The QIX engine
The Qlik Sense® data model
Structuring your data
The data model viewer
Summary
Chapter 7: 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
Chapter 8: Extending the Qlik Analytic Platform
Qlik Dev Hub
Developer community – Qlik Branch
Summary
Chapter 9: Administering Qlik Sense®
The Qlik Sense® architecture
Deployment and licensing
Management and monitoring
Security
Summary
Chapter 10: Sales Discovery
The business problem
Application features
Summary
Chapter 11: Human Resource Discovery
The business problem
Application features
How the application was developed
Summary
Chapter 12: Travel Expense Discovery
The business problem
Application features
Developing the application
Summary
Chapter 13: Demographic Data Discovery
Problem analysis
Application features
How the application was developed
Summary
Chapter 14: Getting Started with the Data
Introduction
Extracting data from databases and data files
Extracting data from Web Files
Activating the Legacy Mode in Qlik Sense desktop
Extracting data from custom databases
Invoking help while in the data load editor or the expression editor
Previewing data in the Data model viewer
Creating a Master Library from the Data model viewer
Using a Master Library in the Edit mode
Chapter 15: Visualizations
Introduction
Creating Snapshots
Creating and adding content to a story
Adding embedded sheets to the story
Highlighting the performance measure in a bar chart
Associating persistent colors to field values
Using the ColorMix1 function
Composition
Relationships
Comparison
Distribution
Structuring visualizations
Chapter 16: Scripting
Introduction
Structuring the script
Efficiently debugging the script
Packaging the code in script files
How to use sub routines in Qlik Sense
Optimizing the UI calculation speed
Optimizing the reload time of the application
Using a For Each loop to load data from multiple files
Using the Concat function to store multiple field values in a single cell
Chapter 17: Managing Apps and User Interface
Introduction
Publishing a Qlik Sense application created in Qlik Sense desktop
Creating private, approved, and community sheets
Publishing a Qlik Sense application to Qlik Sense cloud
Creating geo maps in Qlik Sense
Reference lines in Sales versus Target gauge chart
Effectively using the KPI object in Qlik Sense
Creating Tree Maps
Creating dimensionless bar charts in Qlik Sense
Adding Reference Lines to trendline charts
Creating text and images
Applying limitations to charts
Adding thumbnails – a clear environment
Navigating many data points in a scatter chart
Chapter 18: Useful Functions
Introduction
Using an extended interval match to handle Slowly Changing Dimensions
Using the Previous() function to identify the latest record for a dimensional value
Using the NetworkDays() function to calculate the working days in a calendar month
Using the Concat() function to display a string of field values as a dimension
Using the Minstring() function to calculate the age of the oldest case in a queue
Using the Rangesum() function to plot cumulative figures in trendline charts
Using the Fractile() function to generate quartiles
Using the FirstSortedValue() function to identify the median in a quartile range
Using the Declare and Derive functions to generate Calendar fields
Setting up a moving annual total figure
Using the For Each loop to extract files from a folder
Using the Peek() function to create a currency Exchange Rate Calendar
Using the Peek() function to create a Trial Balance sheet
Chapter 19: Set Analysis
Introduction
Cracking the syntax for Set Analysis
Using flags in Set Analysis
Using the = sign with variables in Set Analysis
Point in time using Set Analysis
Using comparison sets in Set Analysis
Using embedded functions in Set Analysis
Creating a multi-measure expression in Set Analysis
Using search strings inside a set modifier
Capturing a list of field values using a concat() function in Set Analysis
Using the element functions P() and E() in Set Analysis
Chapter 20: Extensions in Qlik Sense
Introduction
Creating an HTML visualization extension for Qlik Sense
Defining a Properties panel in Qlik Sense visualizations
Creating custom components within Qlik Sense visualizations
Using data with extensions
Chapter 21: What's New in Version 2.1.1?
Introduction
Using the visual exploration capability in Qlik Sense 2.1.1
Defining variables in Qlik Sense
Exporting stories to MS PowerPoint
Using the Qlik Dev Hub in Qlik Sense 2.1.1
Using Extension editor in Qlik Dev Hub
Using Qlik Dev Hub to generate mashups
Embedding Qlik Sense application on a website using a single configurator
Using the Qlik DataMarket
Creating dynamic charts in Qlik Sense
Using Smart Search
Using smart data load profiling
Conclusion
Chapter 22: Getting Ready with Predictive Analytics
Analytics, predictive analytics, and data visualization
Purpose of the book
Introducing R, Rattle, and Qlik Sense Desktop
Installing the environment
Downloading and installing Rattle
Installing Qlik Sense Desktop
Exploring Qlik Sense Desktop
Further learning
Summary
Chapter 23: Preparing Your Data
Datasets, observations, and variables
Loading data
Transforming data
Cleaning up
Exporting data
Further learning
Summary
Chapter 24: Exploring and Understanding Your Data
Text summaries
Visualizing distributions
Correlations among input variables
Further learning
Summary
Chapter 25: Creating Your First Qlik Sense Application
Customer segmentation and customer buying behavior
Loading data and creating a data model
Creating a simple data app
Associative logic
Creating charts
Analyzing your data
Further learning
Summary
Chapter 26: Clustering and Other Unsupervised Learning Methods
Machine learning – unsupervised and supervised learning
Further learning
Summary
Chapter 27: Decision Trees and Other Supervised Learning Methods
Partitioning datasets and model optimization
Decision Tree Learning
Entropy and information gain
Underfitting and overfitting
Using a Decision Tree to classify credit risks
Ensemble classifiers
Other models
Further learning
Summary
Chapter 28: Model Evaluation
Cross-validation
Regression performance
Measuring the performance of classifiers
Further learning
Summary
Chapter 29: Visualizations, Data Applications, Dashboards, and Data Storytelling
Data visualization in Qlik Sense
Data analysis, data applications, and dashboards
Data storytelling with Qlik Sense
Further learning
Summary
Chapter 30: Developing a Complete Application
Understanding the bike rental problem
Exploring the data with Qlik Sense
Creating a Qlik Sense App to control the activity
Using Rattle to forecast the demand
Model evaluation
Further learning
Summary

What You Will Learn

  • Build simple visualization models with Rattle and Qlik Sense Desktop
  • Get to grips with the life cycle and new visualization functions of a Qlik Sense application
  • Discover simple ways to examine data and get it ready for analysis
  • Visualize your data with Qlik Sense's engaging and informative graphs
  • Build efficient and responsive Associative Models
  • Optimize Qlik Sense for sales, human resources, and demographic data discovery
  • Explore various tips and tricks of navigation for the Qlik Sense® front end
  • Develop creative extensions for your Qlik Sense® dashboard

Authors

Table of Contents

Chapter 1: 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
Chapter 2: Overview of a Qlik Sense® Application's Life Cycle
Overview of an application's life cycle
Summary
Chapter 3: Empowering Next Generation Data Discovery Consumers
Data discovery consumption requirements
Summary
Chapter 4: Contributing to Data Discovery
Realities of the data discovery contributor
Creating and sharing stories
Summary
Chapter 5: 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
Chapter 6: Building Qlik Sense® Data Models
The QIX engine
The Qlik Sense® data model
Structuring your data
The data model viewer
Summary
Chapter 7: 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
Chapter 8: Extending the Qlik Analytic Platform
Qlik Dev Hub
Developer community – Qlik Branch
Summary
Chapter 9: Administering Qlik Sense®
The Qlik Sense® architecture
Deployment and licensing
Management and monitoring
Security
Summary
Chapter 10: Sales Discovery
The business problem
Application features
Summary
Chapter 11: Human Resource Discovery
The business problem
Application features
How the application was developed
Summary
Chapter 12: Travel Expense Discovery
The business problem
Application features
Developing the application
Summary
Chapter 13: Demographic Data Discovery
Problem analysis
Application features
How the application was developed
Summary
Chapter 14: Getting Started with the Data
Introduction
Extracting data from databases and data files
Extracting data from Web Files
Activating the Legacy Mode in Qlik Sense desktop
Extracting data from custom databases
Invoking help while in the data load editor or the expression editor
Previewing data in the Data model viewer
Creating a Master Library from the Data model viewer
Using a Master Library in the Edit mode
Chapter 15: Visualizations
Introduction
Creating Snapshots
Creating and adding content to a story
Adding embedded sheets to the story
Highlighting the performance measure in a bar chart
Associating persistent colors to field values
Using the ColorMix1 function
Composition
Relationships
Comparison
Distribution
Structuring visualizations
Chapter 16: Scripting
Introduction
Structuring the script
Efficiently debugging the script
Packaging the code in script files
How to use sub routines in Qlik Sense
Optimizing the UI calculation speed
Optimizing the reload time of the application
Using a For Each loop to load data from multiple files
Using the Concat function to store multiple field values in a single cell
Chapter 17: Managing Apps and User Interface
Introduction
Publishing a Qlik Sense application created in Qlik Sense desktop
Creating private, approved, and community sheets
Publishing a Qlik Sense application to Qlik Sense cloud
Creating geo maps in Qlik Sense
Reference lines in Sales versus Target gauge chart
Effectively using the KPI object in Qlik Sense
Creating Tree Maps
Creating dimensionless bar charts in Qlik Sense
Adding Reference Lines to trendline charts
Creating text and images
Applying limitations to charts
Adding thumbnails – a clear environment
Navigating many data points in a scatter chart
Chapter 18: Useful Functions
Introduction
Using an extended interval match to handle Slowly Changing Dimensions
Using the Previous() function to identify the latest record for a dimensional value
Using the NetworkDays() function to calculate the working days in a calendar month
Using the Concat() function to display a string of field values as a dimension
Using the Minstring() function to calculate the age of the oldest case in a queue
Using the Rangesum() function to plot cumulative figures in trendline charts
Using the Fractile() function to generate quartiles
Using the FirstSortedValue() function to identify the median in a quartile range
Using the Declare and Derive functions to generate Calendar fields
Setting up a moving annual total figure
Using the For Each loop to extract files from a folder
Using the Peek() function to create a currency Exchange Rate Calendar
Using the Peek() function to create a Trial Balance sheet
Chapter 19: Set Analysis
Introduction
Cracking the syntax for Set Analysis
Using flags in Set Analysis
Using the = sign with variables in Set Analysis
Point in time using Set Analysis
Using comparison sets in Set Analysis
Using embedded functions in Set Analysis
Creating a multi-measure expression in Set Analysis
Using search strings inside a set modifier
Capturing a list of field values using a concat() function in Set Analysis
Using the element functions P() and E() in Set Analysis
Chapter 20: Extensions in Qlik Sense
Introduction
Creating an HTML visualization extension for Qlik Sense
Defining a Properties panel in Qlik Sense visualizations
Creating custom components within Qlik Sense visualizations
Using data with extensions
Chapter 21: What's New in Version 2.1.1?
Introduction
Using the visual exploration capability in Qlik Sense 2.1.1
Defining variables in Qlik Sense
Exporting stories to MS PowerPoint
Using the Qlik Dev Hub in Qlik Sense 2.1.1
Using Extension editor in Qlik Dev Hub
Using Qlik Dev Hub to generate mashups
Embedding Qlik Sense application on a website using a single configurator
Using the Qlik DataMarket
Creating dynamic charts in Qlik Sense
Using Smart Search
Using smart data load profiling
Conclusion
Chapter 22: Getting Ready with Predictive Analytics
Analytics, predictive analytics, and data visualization
Purpose of the book
Introducing R, Rattle, and Qlik Sense Desktop
Installing the environment
Downloading and installing Rattle
Installing Qlik Sense Desktop
Exploring Qlik Sense Desktop
Further learning
Summary
Chapter 23: Preparing Your Data
Datasets, observations, and variables
Loading data
Transforming data
Cleaning up
Exporting data
Further learning
Summary
Chapter 24: Exploring and Understanding Your Data
Text summaries
Visualizing distributions
Correlations among input variables
Further learning
Summary
Chapter 25: Creating Your First Qlik Sense Application
Customer segmentation and customer buying behavior
Loading data and creating a data model
Creating a simple data app
Associative logic
Creating charts
Analyzing your data
Further learning
Summary
Chapter 26: Clustering and Other Unsupervised Learning Methods
Machine learning – unsupervised and supervised learning
Further learning
Summary
Chapter 27: Decision Trees and Other Supervised Learning Methods
Partitioning datasets and model optimization
Decision Tree Learning
Entropy and information gain
Underfitting and overfitting
Using a Decision Tree to classify credit risks
Ensemble classifiers
Other models
Further learning
Summary
Chapter 28: Model Evaluation
Cross-validation
Regression performance
Measuring the performance of classifiers
Further learning
Summary
Chapter 29: Visualizations, Data Applications, Dashboards, and Data Storytelling
Data visualization in Qlik Sense
Data analysis, data applications, and dashboards
Data storytelling with Qlik Sense
Further learning
Summary
Chapter 30: Developing a Complete Application
Understanding the bike rental problem
Exploring the data with Qlik Sense
Creating a Qlik Sense App to control the activity
Using Rattle to forecast the demand
Model evaluation
Further learning
Summary

Book Details

ISBN 139781788994927
Paperback764 pages
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From 1 reviews

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