Book Image

QlikView Essentials

By : Chandraish Sinha
Book Image

QlikView Essentials

By: Chandraish Sinha

Overview of this book

This guide demonstrates just how easy it is to get started with QlikView and create your own BI application. Featuring an introduction to its core features before exploring how to load data and model it, you’ll soon become more confident that you can take full advantage of QlikView’s capabilities.. You will also learn how to use QVD files with QlikView – and how they offer a simpler way of handling data. After digging deeper into data handling, as you learn how to use mapping tables and create a master calendar, you’ll then find out how to get the most from QlikView’s visualization features – vital if you are to use your data insights effectively. From accessible and user friendly dashboards to strategies and best practices for subjecting data to further analysis, you can be confident that you’ll be prepared to get the most out of your data with QlikView. With details on how to finally secure your application and deploy it for a successful integration in your organization, QlikView Essentials underlines exactly why QlikView is becoming more and more popular for businesses that understand the value of data.
Table of Contents (15 chapters)
QlikView Essentials
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Dashboarding essentials


Dashboard or visualization applications are a pictorial representation of data.

  • They provide executives and analysts with insight into an organization's key performance indicators (KPIs) to make business decisions. They give users a snapshot of the KPIs and the ability to see the details of the data.

  • Dashboards involve creating various visualization objects and placing them on screen in a way that provides users with ease of both understanding and accessing the information.

  • As dashboard helps in understanding data, care should be given to engage users with the data. Overuse of colors should be avoided. Attempts should be made to avoid any object that does not represent data.

  • Edward Tufte, the author of The Visual Display of Quantitative Information, Graphics Press USA, provides principles for visualizing large quantities of data. His book states that data graphics should draw the viewer's attention to the sense and substance of data, not to something else. Non-data pixels...