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 12. Sales Perspective

The success of all businesses is at some point determined by how well they can sell their products and/or services. The large amount of time and money that companies spend on software that facilitates the sales process is testament to its importance. Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Point of Sales (PoS) software not only ease the sales process, but also gather a large amount of sales-related data. Therefore, it is not uncommon that a company's first QlikView application is designed to explore and discover sales data.

Before we begin to create data visualization and analysis for our sales perspective, let's review the data model that supports it. In the process, we will resolve data quality issues that can either distract users' attention away from a visualization's data or distort how they interpret it. Next, we'll introduce two common sales department user stories and build solutions to stratify customers and...