Book Image

QlikView: Advanced Data Visualization

By : Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover
Book Image

QlikView: Advanced Data Visualization

By: Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover

Overview of this book

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 Ángel García, Barry Harmsen • Mastering QlikView by Stephen Redmond • Mastering QlikView Data Visualization by Karl Pover
Table of Contents (25 chapters)
QlikView: Advanced Data Visualization
Contributors
Preface
Index

Chapter 11. Data Visualization Strategy

What is the difference between graphic design and data visualization? What distinguishes our actions when we design a website from when we design an executive dashboard? What separates somebody who creates a meaningful icon from another who creates an insightful bar chart?

While both graphic design and data visualization aim to create effective visual communication, data visualization is principally concerned with data analysis. Even though we, who design dashboards and charts, are motivated to create something aesthetically pleasing, we are more passionate about what the data can tell us about our world. This desire to explore our universe via data, and then, communicate our discoveries is the reason that we dedicate our time to learning how best to visualize it.

We start our journey by defining a series of strategies to create and share knowledge using data visualization. In parallel, we propose how we can effectively organize ourselves, our projects...