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Hands-On Business Intelligence with Qlik Sense

You're reading from   Hands-On Business Intelligence with Qlik Sense Implement self-service data analytics with insights and guidance from Qlik Sense experts

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789800944
Length 442 pages
Edition 1st Edition
Languages
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Authors (4):
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Kaushik Solanki Kaushik Solanki
Author Profile Icon Kaushik Solanki
Kaushik Solanki
Clever Anjos Clever Anjos
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Clever Anjos
Jerry DiMaso Jerry DiMaso
Author Profile Icon Jerry DiMaso
Jerry DiMaso
Pablo Labbe Pablo Labbe
Author Profile Icon Pablo Labbe
Pablo Labbe
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Qlik Sense and Business Intelligence FREE CHAPTER
2. Getting Started with Qlik Sense 3. Section 2: Data Loading and Modeling
4. Loading Data in Qlik Sense 5. Implementing Data Modeling Techniques 6. Section 3: Building an Analytical Application
7. Working with Application Structure 8. Creating a Sales Analysis App Using Qlik Sense 9. Interacting with Advanced Expressions 10. Creating Data Stories 11. Section 4: Additional Features
12. Engaging On-Demand App Generation 13. Creating a Native Map Using GeoAnalytics 14. Working with Self-Service Analytics 15. Data Forecasting Using Advanced Analytics 16. Deploying Qlik Sense Apps for Mobile/Tablets 17. Other Books You May Enjoy

Data Forecasting Using Advanced Analytics

The importance of data forecasting needs to be highlighted—its use cases, why we feel the need to dedicate a whole chapter to it, why it's essential in the field of business. Then we will slowly move into using Qlik for data forecasting and lastly, jot down all the activities we shall be carrying out through the course of this chapter.

Organizations must adapt to a constantly changing world. To make those adjustments, its management needs to predict what may happen in the future. Being assertive about making forecasts can mean the difference between being ready to adapt to a new market or new situations.

In the past couple of years, advanced analytics using data science tools has become increasingly important to all organizations because it uses mathematics and statistics to enable more accurate results in data analysis. Now...

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