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