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

Chapter 17. Human Resources

We've created each of our previous perspectives with the objective of becoming a data-driven business. Robert Kaplan and David Norton considered the measurements in the learning and growth of employees as the infrastructure to enable ambitious objectives in the financial, customer, and internal-business process perspectives. We need to invest resources in our human capital so that they are capable of using data to help themselves and work at their optimal level. In this chapter, our goal is to learn more about our employees and help them be more effective.

First, we are interested in which factors make our team more productive. We use data from our Human Resource Management System (HRMS) to calculate metrics, such as headcount, salary, vacation days, sick days, and turnover by pertinent dimensions, such as job function, functional area, and demographics. Then, we compare these measurements with financial metrics, such as sales and gross profit.

Our organization...