Qlik Sense : Create smart data visualizations and predictive analytics solutions.

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pagans, Ferran Garcia
Otros Autores: Kharpate, Neeraj, Cronström, Henric, Richardson, James, Hand, Philip
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2017.
Temas:
Business intelligence-Computer programs.
Information visualization.
Management information systems.
Management Information Systems
Visualisation de l'information.
Systèmes d'information de gestion.
BUSINESS & ECONOMICS / Industrial Management
BUSINESS & ECONOMICS / Management
BUSINESS & ECONOMICS / Management Science
BUSINESS & ECONOMICS / Organizational Behavior
Information visualization
Management information systems
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Copyright
  • Credits
  • Preface
  • Table of Contents
  • Module 1: Learning Qlik Sense: The Official Guide Second Edition
  • 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
  • Module 2: Qlik Sense Cookbook
  • Chapter 1: 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 2: 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 3: 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 4: 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 5: 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 6: 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 7: 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 8: 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
  • Appendix
  • Keyboard shortcuts in Qlik Sense® Desktop
  • Module 3: Predictive Analytics Using Rattle and Qlik Sense
  • Chapter 1: 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 2: Preparing Your Data
  • Datasets, observations, and variables
  • Loading data
  • Transforming data
  • Cleaning up
  • Exporting data
  • Further learning
  • Summary
  • Chapter 3: Exploring and Understanding Your Data
  • Text summaries
  • Visualizing distributions
  • Correlations among input variables
  • Further learning
  • Summary
  • Chapter 4: 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 5: Clustering and Other Unsupervised Learning Methods
  • Machine learning
  • unsupervised and supervised learning
  • Further learning
  • Summary
  • Chapter 6: 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 7: Model Evaluation
  • Cross-validation
  • Regression performance
  • Measuring the performance of classifiers
  • Further learning
  • Summary
  • Chapter 8: 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 9: 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
  • Bibliography
  • Index.

Ejemplares similares