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Hands-On Business Intelligence with Qlik Sense

Hands-On Business Intelligence with Qlik Sense: Implement self-service data analytics with insights and guidance from Qlik Sense experts

DiMaso

Solanki

Labbe

Clever Anjos

€18.99 per month

3.3 (4 Ratings)

Paperback Feb 2019 442 pages 1st Edition

€17.99 ~~€26.99~~

Renews at €18.99p/m

DiMaso

Solanki

Labbe

Clever Anjos

€18.99 per month

3.3 (4 Ratings)

Paperback Feb 2019 442 pages 1st Edition

€17.99 ~~€26.99~~

Renews at €18.99p/m

€17.99 ~~€26.99~~

Renews at €18.99p/m

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Key benefits

Implement various Qlik Sense features to create interactive dashboards
Analyze data easily and make business decisions faster using Qlik Sense
Perform self-service data analytics and geospatial analytics using an example-based approach

Description

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.

Who is this book for?

If you’re a data analyst, BI developer, or interested in business intelligence and want to gain practical experience of working on Qlik Sense, this book is for you. You’ll also find it useful if you want to explore Qlik Sense’s next-generation applications for self-service business intelligence. No prior experience of working with Qlik Sense is required.

What you will learn

Discover how to load, reshape, and model data for analysis
Apply data visualization practices to create stunning dashboards
Make use of Python and R for advanced analytics
Perform geo-analysis to create visualizations using native objects
Learn how to work with AGGR and data stories

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

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Product Details

Publication date : Feb 28, 2019

Length: 442 pages

Edition : 1st

Language : English

ISBN-13 : 9781789800944

Category :

Data

Languages :

Concepts :

Business Intelligence

Tools :

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Table of Contents

17 Chapters

Section 1: Qlik Sense and Business Intelligence

Section 1: Qlik Sense and Business Intelligence

Getting Started with Qlik Sense

Getting Started with Qlik Sense

An overview of the Qlik Sense product

Section 2: Data Loading and Modeling

Section 2: Data Loading and Modeling

Loading Data in Qlik Sense

Loading Data in Qlik Sense

Technical requirements

Data loading process

Table associations

Further reading

Implementing Data Modeling Techniques

Implementing Data Modeling Techniques

Technical requirements

An overview of data modeling

Canonical dates

Script optimization

Sample questions

Further reading

Section 3: Building an Analytical Application

Section 3: Building an Analytical Application

Working with Application Structure

Working with Application Structure

Technical requirements

Application overview

Understanding the DAR methodology

Creating visualization objects

Creating Master items

Calculation expressions

Further reading

Creating a Sales Analysis App Using Qlik Sense

Creating a Sales Analysis App Using Qlik Sense

Technical requirements

Creating the dashboard sheet

Creating the analysis sheets

Creating a reporting sheet

Interacting with Advanced Expressions

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

Further reading

Creating Data Stories

Creating Data Stories

An overview of stories

Creating snapshots

Planning and organizing your presentation

Creating stories

Editing your story

Sharing stories

Further reading

Section 4: Additional Features

Section 4: Additional Features

Engaging On-Demand App Generation

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

Further reading

Creating a Native Map Using GeoAnalytics

Creating a Native Map Using GeoAnalytics

Technical requirements

Concepts of GeoAnalytics

Adding more information to the map

Further reading

Working with Self-Service Analytics

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

Further reading

Data Forecasting Using Advanced Analytics

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

Further reading

Deploying Qlik Sense Apps for Mobile/Tablets

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

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Customer reviews

Rating distribution

3.3

(4 Ratings)

5 star 25%

4 star 25%

3 star 25%

2 star 0%

1 star 25%

Cssmgt Apr 25, 2019

5

I was asked to review this book by the author, opinions and comments are my own. I do work for Qlik and do know the authors but I also am somewhat of an authority on the Qlik Sense product and create my own materials for the Qlik Community and Marketing purposes. I would not leave a review if I felt pressure to or if I did not believe in the content or the authors's ability to present it. First the authors of this book are well established Qlik users and know their stuff as they work with real customers and implemented real Qlik solutions. You can really tell by the organization, structure and topics that are laid out in this book - the authors wanted to share every aspect of their experiences with Qlik Sense; hence using "Hands-On" in the title. I like how the authors used many screen shots of what was being discussed including references to code and samples. I am a "learn-by-example" and visual individual - this approach fits perfectly with my style of learning. The book starts from the basics of getting started such as creating apps and working with data to the more advanced topics such as working with Qlik's Advanced Analytics Connectors, self-service approaches and mobile deployments. One thing I would have liked to see in this book perhaps was a few paragraphs on the data literacy movement as well as a chapter on various visualizations and when, how and why they should be used. However, that being a very minor point - the book is well documented and really does provide a hands-on approach to using and learning Qlik Sense. Well done!

Amazon Verified review

Michael S. Armentrout Dec 29, 2020

4

As stated in the headline, this is a solid starter book. One could go from beginner to intermediate in Qlik Sense knowledge with this book. The book progresses as one would expect, with a history and the basics of loading/profiling data. Nice to show both processes, especially for me as I never use the Data Manager. The data modeling section was probably the best section, for me. It reinforced concepts and I learned a thing or two. Good examples and easy to follow, probably the strength of the book. It lost a star when it gets to creating a sample application. There were two QVDs missing from the downloads, so a couple of objects would not show data. Since this app is used throughout, the same issue flowed. ***I posted an issue on Github about this***. One other improvement would have been to include the sample formulas so they could be cut/pasted. I did not have access to Google Big Query so I could not work through ODAG and maps. I just read those sections. If you get this book now, which I still recommend, be aware that some functionality has been changed from the version this book was created with. 4 out of 5 stars for me. I am looking forward to new offerings from the authors. They put together a good product.

Amazon Verified review

ice May 22, 2023

3

Even if the the book contains links for colored images and colored digital copy of the book, I find it inappropriate to publish such a book in black and white, knowing the importance of colors in Qlik visualizations. The book is 400+ pages (fragile), but don't get it wrong, each chapter can be done in a couple of hours (lots of images, which is not bad at all). Concerning the content, if you are completely new to Qlik Sense, then why not, you might learn the basics. If not, then look for something else.

Amazon Verified review

Pen Name Jun 14, 2021

1

I was really disappointed that all the data visualization was in black and white... They referred to different colours in the text ( for example the red bar represents sales ) yet everything in black and white.Also found the text was clear but the graphs were blurry and difficult for me to read. Ironic.

Amazon Verified review

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About the 4 authors

DiMaso

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.

See other products by DiMaso

Solanki

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.

See other products by Solanki

Labbe

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.

See other products by Labbe

Clever Anjos

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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