Course Description
To succeed in today’s competitive environment, it’s important for businesses to understand the different factors that influence sales volume, which can be impacted by various internal and external factors. By studying and analyzing historical sales data and the factors that influence them, the marketing and sales teams can identify the most profitable products, the highest value customers, and potential sales opportunities to drive bottom-line revenue. To effectively do this, it’s vital that businesses invest in sales analysis.
In this course, you will be introduced to data and sales analytics, including performing an effective sales analysis. We’ll learn about data governance, data tracking tools, and the benefits of data visualization. We’ll also review examples of how data analytics can be used to evaluate and increase sales. By the end of this course, you’ll understand the various types of sales analyses and how best to apply them to your sales program.
What You'll Learn
- Define the role sales analytics can play in increasing sales volume
- Describe the four types of data analytics businesses typically use to direct decision making
- Identify the ways data visualization can help the sales analysis process
- Outline the design for a basic sales analysis program
- Perform an effective sales analysis using historical sales data
- Apply the various types of sales analysis to your sales program
Key Takeaways
- Sales volume can be impacted by various internal and external factors that businesses need to understand.
- Analyzing historical sales data helps marketing and sales teams identify the most profitable products, highest value customers, and potential sales opportunities.
- The course covers data governance, data tracking tools, and the benefits of data visualization.
- Businesses typically use four types of data analytics to direct their decision making.
- Data analytics can be used to evaluate and increase sales.
Frequently Asked Questions
Who is this course for?
It is designed for marketing and sales teams who want to study and analyze historical sales data to identify profitable products, high value customers, and sales opportunities that drive revenue.
What topics does this course cover?
It introduces data and sales analytics, including performing an effective sales analysis, data governance, data tracking tools, the benefits of data visualization, and the various types of sales analysis.
What will I be able to do by the end of the course?
You will understand the various types of sales analyses and how best to apply them to your sales program.
What skills does this course help develop?
It covers skills including Advanced Analytics, Analytics, Business Analytics, Learning Analytics, Marketing Analytics, and Sales Analysis.
What lessons are included?
The course includes Introduction, Sales Analytics, Effective Sales Analysis, Types of Sales Analysis, and a Test Your Knowledge lesson.
Professional Certifications and Continuing Education Units (CEUs)
Professional Development Units (PDUs): 0.25
KnowledgeCity has been reviewed and approved by the PMI® Authorized Training Partner Program. Users can maintain your PMI credentials by earning PDUs from KnowledgeCity qualified courses in Project Management, Business Management, Leadership and many others.
