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Predictive Analytics using Rattle and Qlik Sense

You're reading from   Predictive Analytics using Rattle and Qlik Sense Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781784395803
Length 242 pages
Edition 1st Edition
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Author (1):
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Ferran Garcia Pagans Ferran Garcia Pagans
Author Profile Icon Ferran Garcia Pagans
Ferran Garcia Pagans
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Table of Contents (11) Chapters Close

Preface 1. Getting Ready with Predictive Analytics FREE CHAPTER 2. Preparing Your Data 3. Exploring and Understanding Your Data 4. Creating Your First Qlik Sense Application 5. Clustering and Other Unsupervised Learning Methods 6. Decision Trees and Other Supervised Learning Methods 7. Model Evaluation 8. Visualizations, Data Applications, Dashboards, and Data Storytelling 9. Developing a Complete Application Index

Data analysis, data applications, and dashboards


Before creating a data application, you have to define who is going to use your application and what the objective of the application is. Patricia L. Saporito, in Applied Insurance Analytics, Pearson Education LTD defines three main user groups:

  • Executive management: They need key metrics, very visual applications and should be able to access the analysis from different devices

  • Middle managers: They need key metrics and the ability to navigate from aggregate data to detailed data

  • Analysts: This group needs to be able to manipulate data on the lowest grain and create new metrics

You also need to be familiar with the metrics you are going to use in your application. A special type of metric is a Key Performance Indicator (KPI). KPIs explain the performance of a business process or activity; Sales versus Objective would be a good KPI for a Sales Performance dashboard. As you can see, KPIs are metrics that illustrate performance but, to understand...

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