Book Image

Creating Stunning Dashboards with QlikView

By : Julian Villafuerte
Book Image

Creating Stunning Dashboards with QlikView

By: Julian Villafuerte

Overview of this book

QlikView is one of the most powerful analytical tools in the market. Based on an in-memory associative model, it lets users freely navigate through the data, spot trends and make better decisions. This platform is capable of integrating a wide range of data sources like ERP systems, data warehouses or spreadsheets into a single application in order display dashboards with state-of-the-art visualizations. Creating Stunning Dashboards with QlikView is an easy to follow handbook that guides you through the process of creating an effective and engaging dashboard that delivers tangible value to the business. It starts with the identification of the business needs and the definition of the main KPIs, and takes you all the way to the application rollout. Throughout the book, you will learn how to apply some of the best practices in the field of data visualization, create a robust navigation schema, chose the best chart types for each scenario and many other things that will help you create effective dashboards that uncover all the stories behind the data.
Table of Contents (16 chapters)
Creating Stunning Dashboards with QlikView
Credits
Foreword
About the Author
About the Reviewers
www.PacktPub.com
Preface
4
It's Not Only about Charts
Index

The object repository


Having a single QlikView file that contains several commonly used visualizations can also save you a great amount of time while building new apps. Even though you can copy and paste objects from multiple documents, compiling them in just one place (an application that will surely deserve a place in your Favorites side bar) is better than opening and closing dozens of applications to find that awesome gauge you created months ago.

This repository can contain specific tabs for each chart type, common buttons, maps color palettes, or even small chunks of code that might come in handy afterwards (for... each statements, set analysis, ad hoc conditions, calendars, and so on.)