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 15. Working Capital Perspective

A business's financial health depends heavily on its short-term assets, such as inventory and Accounts Receivable (A/R), along with short-term liabilities, such as Accounts Payable (A/P). If these elements are managed well, then the business will have the cash to invest in finding potential customers, developing new products, and hiring new talent. We refer to these three pivotal financial measurements as working capital.

We can find inventory, A/R, and A/P, as separate line items in the balance sheet that we created for our financial perspective in a previous chapter. However, there is also a series of additional analyses that all three have in common. For example, the analysis of the average number of days that a product is in inventory, a customer takes to pay an invoice, or the business takes to pay a vendor invoice requires the same type of data model and formulation. We can also make this information more actionable if we include it in a product...