QlikView: Advanced Data Visualization Front Cover

QlikView: Advanced Data Visualization

  • Length: 786 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2018-12-27
  • ISBN-10: 1789955998
  • ISBN-13: 9781789955996
  • Sales Rank: #1864904 (See Top 100 Books)
Description

Build powerful data analytics applications with this business intelligence tool and overcome all your business challenges

Key Features

  • Master time-saving techniques and make your QlikView development more efficient
  • Perform geographical analysis and sentiment analysis in your QlikView applications
  • Explore advanced QlikView techniques, tips, and tricks to deliver complex business requirements

Book Description

QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations.

Each chapter in this Learning Path starts with an understanding of a business requirement and its associated data model and then helps you create insightful analysis and data visualizations around it. You will look at problems that you might encounter while visualizing complex data insights using QlikView, and learn how to troubleshoot these and other not-so-common errors. This Learning Path contains real-world examples from a variety of business domains, such as sales, finance, marketing, and human resources.

With all the knowledge that you gain from this Learning Path, you will have all the experience you need to implement your next QlikView project like a pro.

This Learning Path includes content from the following Packt products:

  • QlikView for Developers by Miguel Angel Garcia, Barry Harmsen
  • Mastering QlikView by Stephen Redmond
  • Mastering QlikView Data Visualization by Karl Pover

What you will learn

  • Deliver common business requirements using advanced techniques
  • Load data from disparate sources to build associative data models
  • Understand when to apply more advanced data visualization
  • Utilize the built-in aggregation functions for complex calculations
  • Build a data architecture that supports scalable QlikView deployments
  • Troubleshoot common data visualization errors in QlikView
  • Protect your QlikView applications and data

Who this book is for

This Learning Path is designed for developers who want to go beyond their technical knowledge of QlikView and understand how to create analysis and data visualizations that solve real business needs. To grasp the concepts explained in this Learning Path, you should have a basic understanding of the common QlikView functions and some hands-on experience with the tool.

Table of Contents

  1. Performance Tuning and Scalability
  2. QlikView Data Modeling
  3. Best Practices for Loading Data
  4. Advanced Expressions
  5. Advanced Scripting
  6. What’s New in QlikView 12?
  7. Styling Up
  8. Building Dashboards
  9. Advanced Data Transformation
  10. Security
  11. Data Visualization Strategy
  12. Sales Perspective
  13. Financial Perspective
  14. Marketing Perspective
  15. Working Capital Perspective
  16. Operations Perspective
  17. Human Resources
  18. Fact Sheets
  19. Balanced Scorecard
  20. Troubleshooting Analysis
  21. Mastering Qlik Sense Data Visualization
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