You're reading fromHands-On Business Intelligence with Qlik Sense
Product typeBook
Published inFeb 2019
PublisherPackt
ISBN-139781789800944
Pages442 pages
Edition1st Edition
Languages
Concepts
Business Intelligence
Authors (4):
Pablo Labbe
Pablo is a Business Intelligence Consultant with over 18 years of experience. In 2008 he was presented to Qlikview, the former product by Qlik and the seed for Qlik Sense. Since that year he was focused on delivering BI solutions in a new way. Now he is the Principal of ANALITIKA Inteligencia delivering BI projects and training focusing on Qlik products and other technologies that embrace the Self-Service BI. He is an active member of the Qlik Community and other social media sites. You can follow him on Twitter - @pablolabbe and LinkedIn.
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Clever Anjos
Clever Anjos is an experienced Business Discovery professional having several years working experience with Qlik, Microsoft and others BI technologies. He holds a Bachelor in Computer Science from Universidade Federal de Uberlândia (Minas Gerais State - Brazil). He works at Qlik as a Solution Architect helping companies to use the Qlik technologies to enable their professionals to be data literate persons. He has several Qlik Certifications and Awards (Qlik Luminary, Qlik MVP and Presales "Rookie of The Year" - Americas 2018)
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Kaushik Solanki
Kaushik Solanki is a computer engineer by profession. He is working at Predoole Analytics Pvt Ltd as Qlik Architect & Delivery Manager. He holds overall 9 years of experience working on Qlik technology. His passion is to educate everyone about "Data Literacy" and "Qlik". He loves to spend time on Qlik community to help Qlik developers to learn and excel. He has a great understanding of project delivery right from the business requirement to final implementation. His experience in various domains has helped business to take valuable business decisions.
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Jerry DiMaso
Jerry DiMaso
Jerry DiMaso is an Analytics Advisory Consultant who has spent the past ten years developing applications, advising on data and analytics strategies, and coaching organizations on how to build efficient analytics operating models. His work in more than 100 organizations in dozens of different industries has inspired him to take on the mission of improving the world's analytics capabilities through a series of practical frameworks and methodologies, most notably the Analytics Enablement and Axis Academy programs he created.
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Table of Contents (18) Chapters
Preface
- Who this book is for
- What this book covers
- To get the most out of this book
- Get in touch
1. Section 1: Qlik Sense and Business Intelligence
2. Getting Started with Qlik Sense
- An overview of the Qlik Sense product
- Summary
3. Section 2: Data Loading and Modeling
4. Loading Data in Qlik Sense
- Technical requirements
- Data loading process
- Table associations
- Data profiling
- Summary
- Further reading
5. Implementing Data Modeling Techniques
- Technical requirements
- An overview of data modeling
- Joining
- Concatenation
- Filtering
- QVDs
- Link table
- Canonical dates
- As-Of Table
- Script optimization
- Summary
- Sample questions
- Further reading
6. Section 3: Building an Analytical Application
7. Working with Application Structure
- Technical requirements
- Application overview
- Understanding the DAR methodology
- Creating visualization objects
- Creating Master items
- Calculation expressions
- Summary
- Questions
- Further reading
8. Creating a Sales Analysis App Using Qlik Sense
- Technical requirements
- Creating the dashboard sheet
- Creating the analysis sheets
- Creating a reporting sheet
- Summary
9. Interacting with Advanced Expressions
- Technical requirements
- Creating calculations with conditions
- Using TOTAL for aggregation scope
- Using some useful inter-record functions
- Using AGGR for advanced aggregation
- Leveraging Set Analysis for in-calculation selection
- Summary
- Further reading
10. Creating Data Stories
- An overview of stories
- Creating snapshots
- Planning and organizing your presentation
- Creating stories
- Editing your story
- Sharing stories
- Summary
- Further reading
11. Section 4: Additional Features
12. Engaging On-Demand App Generation
- Technical requirements
- How Qlik Sense handles large volumes of data
- Setting up a Google BigQuery account
- Configuring Qlik Sense for ODAG applications
- Building a summarized application
- Building the detailed application
- Integrating the summarized and detailed applications
- Summary
- Further reading
13. Creating a Native Map Using GeoAnalytics
- Technical requirements
- Concepts of GeoAnalytics
- Creating a map
- Adding more information to the map
- Summary
- Further reading
14. Working with Self-Service Analytics
- Technical requirements
- Creating self-service analytics
- Sharing insights with community sheets
- Approving sheets to add them to a baseline
- Co-creating applications in Qlik Sense Cloud Business
- Summary
- Further reading
15. Data Forecasting Using Advanced Analytics
- Technical requirements
- Qlik Sense Engine and Server Side Extensions
- Preparing your R environment
- Using the R extension in a Qlik Sense application
- Preparing your Python environment
- Using a Python extension
- Using the Python SSE in your apps
- Summary
- Questions
- Further reading
16. Deploying Qlik Sense Apps for Mobile/Tablets
- Technical requirements
- Setting up the Sales Analysis app for mobile usage
- Choosing the right client
- Preparing the Sales Analysis app for offline usage
- Summary
17. Other Books You May Enjoy
- Leave a review - let other readers know what you think
You will learn how to analyze the data loaded using several visualization objects in the Qlik Sense app and share the app through Qlik Sense Enterprise or Qlik Sense Cloud.
The following chapters will be covered in this section:
- Chapter 4, Working with Application Structure
- Chapter 5, Creating a Sales Analysis App Using Qlik Sense
- Chapter 6, Interacting with Advanced Expressions
- Chapter 7, Creating Data Stories
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