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Bestseller
BestsellerE-book
Author Pover, Karl.

Title Learning Qlikview Data Visualization : visualize and analyze data with the most intuitive business intelligence tool, QlikView / Karl Pover ; [foreword by Oleg Troyansky].

Publication Info. Birmingham : Packt Publishing, Limited, 2013.

Item Status

Description 1 online resource : illustrations.
Physical Medium polychrome
Description text file
Series Professional expertise distilled
Professional expertise distilled.
Note Includes index.
Summary Annotation While QlikViews data engine complements our thought processes and gives us the ability to rapidly implement insightful data discovery, we must also learn to use proper analytical and data visualization techniques to enhance our ability to make data more presentable. Learning QlikView Data Visualization presents a simple way to organize your QlikView data discovery process. Within the context of a real-world scenario and accompanying exercises, you will learn a set of analytical techniques and data visualization best practices that you can customize and apply to your own organization. We start our data discovery project by reviewing the data, people, and tools involved. We then go on to use rank, trend, multivariate, distribution, correlation, geographical, and what-if analysis as we try to resolve the problems of QDataViz, Inc, a fictitious company used as an example. In each type of analysis, we employ highlighting, heat maps, and other techniques on top of multiple chart types. Once we have a possible solution, we present our case in a dashboard and use performance indicators to monitor future actions. You will learn how to properly create insightful data visualization in QlikView that covers multiple analytical techniques. By reusing what youve learned in Learning QlikView Data Visualization, your organizations future data discovery projects will be more effective.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Information visualization.
Information visualization.
Information visualization -- Software.
Genre/Form Software.
Subject Visual analytics.
Visual analytics.
Visual analytics -- Software.
Genre/Form Electronic books.
ISBN 9781782179900 (electronic book)
1782179909 (electronic book)
9781782179894
1782179895 (Trade Paper)