Book Image

Mastering Qlik Sense

By : Juan Ignacio Vitantonio
Book Image

Mastering Qlik Sense

By: Juan Ignacio Vitantonio

Overview of this book

Qlik Sense is a powerful, self-servicing Business Intelligence tool for data discovery, analytics and visualization. It allows you to create personalized Business Intelligence solutions from raw data and get actionable insights from it. This book is your one-stop guide to mastering Qlik Sense, catering to all your organizational BI needs. You'll see how you can seamlessly navigate through tons of data from multiple sources and take advantage of the various APIs available in Qlik and its components for guided analytics. You'll also learn how to embed visualizations into your existing BI solutions and extend the capabilities of Qlik Sense to create new visualizations and dashboards that work across all platforms. We also cover other advanced concepts such as porting your Qlik View applications to Qlik Sense,and working with Qlik Cloud. Finally, you'll implement enterprise-wide security and access control for resources and data sources through practical examples. With the knowledge gained from this book, you'll have become the go-to expert in your organization when it comes to designing BI solutions using Qlik Sense.
Table of Contents (16 chapters)

Understanding Master Items

Master Items are a new concept introduced in Qlik Sense, which allow the dashboard developer to create predefined visualizations, dimensions, and measures that can be reused throughout the app.

Utilizing this feature can be very powerful in the following three use cases:

  • Maintaining business logic: Master Items can help with preserving business logic within an app. By being able to organize and govern aggregation logic for metrics as well as essential dimensions centrally, the dashboard owner can ensure that all sheets and visualizations are using the same expressions and efficiently aggregating data correctly and consistently across the app. The same applies to critical dimensions. Very often, data models will have a collection of various fields, but not all of them will be relevant or meaningful in the context of metrics.
  • Code maintenance: It is not...