Book Image

QlikView: Advanced Data Visualization

By : Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover
Book Image

QlikView: Advanced Data Visualization

By: Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover

Overview of this book

QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations. Each chapter in this Learning Path starts with an understanding of a business requirement and its associated data model and then helps you create insightful analysis and data visualizations around it. You will look at problems that you might encounter while visualizing complex data insights using QlikView, and learn how to troubleshoot these and other not-so-common errors. This Learning Path contains real-world examples from a variety of business domains, such as sales, finance, marketing, and human resources. With all the knowledge that you gain from this Learning Path, you will have all the experience you need to implement your next QlikView project like a pro. This Learning Path includes content from the following Packt products: • QlikView for Developers by Miguel Ángel García, Barry Harmsen • Mastering QlikView by Stephen Redmond • Mastering QlikView Data Visualization by Karl Pover
Table of Contents (25 chapters)
QlikView: Advanced Data Visualization
Contributors
Preface
Index

Personnel productivity


Human Resources costs can represent up to 70 to 80 percent of the total cost of doing business (Lawler and Boudreau 2012). Our first goal is to analyze headcount, payroll, and how much revenue (or profit) we generate per employee and payroll dollar spent.

Note

As an HR analyst, I want to discover who our most productive teams are so that I can share their practices with the rest of company.

We start our analysis by comparing headcount and payroll. As these amounts use a different scale, we use the left axis of a dot plot chart for headcount and the right axis for payroll. Before beginning the following exercise, we import this chapter's exercise files into the QDF as we did in Chapter 12, Sales Perspective.

Exercise 17.1

  1. In 1.Application\HR_Perspective_Sandbox.qvw, let's create a combo chart that measures headcount and payroll by year-month, as follows:

    Dimensions

    Details

    Label

    Value

    Year-Month

    Year-Month

    Expressions

    Label

    Value

    Headcount

    count(distinct...