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

Rotation and average days


At a higher level, we analyze each element of working capital using the same methods. The overall objective is to know the average number of days that it takes for an item in stock to be sold, a customer to pay, or a supplier to be paid.

We can help free up cash for the business if we reduce the number of days that an item is in a warehouse or the number of days that a customer takes to pay an invoice. Inversely, we want to increase the number of days that we can wait to pay our suppliers without any penalty. Let's start our working capital analysis by calculating the average number of days that an item is in a warehouse. We call this key performance indicator Days Sales of Inventory (DSI).

Days Sales of Inventory

If we store inventory for too long, then it takes up space that could be put to better use or sold. If we store inventory for too few days, then we increase the risk of not being able to satisfy customers' needs. Days Sales of Inventory (DSI) tells us the...