Welcome! The purpose of this book is to help you learn about Qlik Sense®, Qlik's self-service visualization platform. Our aim is to help you get more from your data by applying Qlik Sense and its unique capabilities to your analytic needs. At the beginning of the book, we'll cover why Qlik chose to develop Qlik Sense, what data discovery is and can do, and the strategy and vision behind the product. In the subsequent chapters, we'll address practical considerations, including the Qlik Sense application's life cycle, how to meet the needs of different types of users, how to develop and administer engaging Qlik Sense applications, data modeling and getting the most out of the QIX engine. The book concludes by outlining a series of example applications built using Qlik Sense, to address analysis needs in sales management, HR, T&E management, and demographics.
Chapter 1, Qlik Sense® and Data Discovery, covers why Qlik chose to develop Qlik Sense, what data discovery is and can do, and the strategy and vision behind the product. This will include:
Chapter 2, Overview of a Qlik Sense® Application's Life Cycle, covers the Qlik Sense application's life cycle overview as a backdrop to highlighting key features and benefits of Qlik Sense in meeting these requirements. There are thousands of features in this initial release and this chapter will serve as a guide to the major components, features, and benefits to start your exploration of Qlik Sense. This will include:
Chapter 3, Empowering Next Generation Data Discovery Consumers, highlights the key features in the context of specific user requirements that Qlik has identified as a consumer. This will include:
Chapter 4, Contributing to Data Discovery, highlights the key features in the context of specific user requirements that Qlik has identified as a contributor or someone who seeks to share key findings from their analysis. This will include:
Chapter 5, Authoring Engaging Applications, highlights an approach to building engaging applications to meet your business problems. This will include:
Chapter 6, Building Qlik Sense® Data Models, highlights the techniques and principles behind building a data model. This will include:
Chapter 7, Qlik Sense® Apps in the Cloud, briefs us on using Qlik Sense Cloud. This will include:
Chapter 8, Extending the Qlik® Analytic Platform, gives an overview of the key APIs and how to use them to extend Qlik Sense solutions. This will include:
Chapter 9, Administering Qlik Sense®, highlights the administration of Qlik Sense applications within an organization. This will include:
Chapter 10, Sales Discovery, applies Qlik Sense to the challenges of analyzing sales performance within your organization. This will include:
Chapter 11, Human Resource Discovery, applies Qlik Sense to the challenges of analyzing human resource data. This will include:
Chapter 12, Travel Expense Discovery, applies Qlik Sense to the challenges of analyzing travel expense management within an organization. This will include:
Chapter 13, Demographic Data Discovery, applies Qlik Sense to the challenges of analyzing demographic data. This will include: