What this book covers

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:

• Qlik's history in business intelligence and the evolution of data discovery
• The Qlik philosophy and approach to data discovery
• The difference between traditional BI and data discovery

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:

• Overview of the hub
• Starting application authoring
• Components of a Qlik Sense application
• Sharing an application

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:

• Data discovery consumption requirements
• The hub
• Navigating and leveraging the associative experience

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:

• Data discovery contributor requirements
• Bookmarks
• Private sheets
• Private stories
• Publishing to an existing application

Chapter 5, Authoring Engaging Applications, highlights an approach to building engaging applications to meet your business problems. This will include:

• Data
• KPIs and measures
• Dimensions
• Security

Chapter 6, Building Qlik Sense® Data Models, highlights the techniques and principles behind building a data model. This will include:

• Tables, fields, and records
• Joins and concatenations
• How to link tables and how not to link tables
• Normalization and de-normalization
• Synthetic keys and circular references

Chapter 7, Qlik Sense® Apps in the Cloud, briefs us on using Qlik Sense Cloud. This will include:

• Sharing Qlik Sense Desktop apps in the cloud
• Creating Qlik Sense apps directly in the cloud
• Maintaining Qlik Sense Cloud apps
• Adding external data to apps using Qlik DataMarket

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:

• API overview
• Dev Hub
• Single configurator
• Web mashup editor
• Extension editor
• Engine API explorer
• Qlik Branch overview

Chapter 9, Administering Qlik Sense®, highlights the administration of Qlik Sense applications within an organization. This will include:

• Architecture
• Clustering and nodes
• Licenses and tokens
• Streams and security concepts

Chapter 10, Sales Discovery, applies Qlik Sense to the challenges of analyzing sales performance within your organization. This will include:

• Common sales analysis problems
• The unique way Qlik Sense addresses these problems
• How the application was built

Chapter 11, Human Resource Discovery, applies Qlik Sense to the challenges of analyzing human resource data. This will include:

• General information about common KPIs
• What a typical data model could look like
• An example of how to use the global selector
• Examples of dimensions and measures

Chapter 12, Travel Expense Discovery, applies Qlik Sense to the challenges of analyzing travel expense management within an organization. This will include:

• Common travel expense management problems
• The unique way Qlik Sense addresses these problems
• How the application was built

Chapter 13, Demographic Data Discovery, applies Qlik Sense to the challenges of analyzing demographic data. This will include:

• General information about common KPIs
• Examples of how to use the lasso selection with maps and scatter charts
• Examples of dimensions and measures