Hands-On Business Intelligence with Qlik Sense

Anglický jazyk

Hands-On Business Intelligence with Qlik Sense

Na objednávku, dodanie 2-4 týždne

46.17 €

bežná cena: 51.30 €

O knihe

Create dynamic dashboards to bring interactive data visualization to your enterprise using Qlik Sense

Key Features
Implement various Qlik Sense features to create interactive dashboards

Analyze data easily and make business decisions faster using Qlik Sense

Perform self-service data analytics and geospatial analytics using an example-based approach

Book Description

Qlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions.

Hands-On Business Intelligence with Qlik Sense begins by helping you get to grips with underlying Qlik concepts and gives you an overview of all Qlik Sense's features. You will learn advanced modeling techniques and learn how to analyze the data loaded using a variety of visualization objects. You'll also be trained on how to share apps through Qlik Sense Enterprise and Qlik Sense Cloud and how to perform aggregation with AGGR. As you progress through the chapters, you'll explore the stories feature to create data-driven presentations and update an existing story. This book will guide you through the GeoAnalytics feature with the geo-mapping object and GeoAnalytics connector. Furthermore, you'll learn about the self-service analytics features and perform data forecasting using advanced analytics. Lastly, you'll deploy Qlik Sense apps for mobile and tablet.

By the end of this book, you will be well-equipped to run successful business intelligence applications using Qlik Sense's functionality, data modeling techniques, and visualization best practices.

What you will learn
Discover how to load, reshape, and model data for analysis

Apply data visualization practices to create stunning dashboards

Make use of Python and R for advanced analytics

Perform geo-analysis to create visualizations using native objects

Learn how to work with AGGR and data stories