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Building a Data-Driven Sales Foundation
Use sales data to plan smarter, act faster, and drive better results.Preview the first lesson free — get full access to all 5 lessons.
Advanced Provider : KnowledgeCity 5 Lessons · 16m in Arabic, English, Spanish
Course Description
In this course on Building a Data-Driven Sales Foundation, you’ll learn how to use data to make sales decisions with more speed and accuracy. Many sales teams rely on reports that only describe the past. This course teaches you how to utilize descriptive, predictive, and prescriptive analytics to plan effectively.
You’ll learn how to build a solid data system that keeps your information accurate and organized. This includes managing your CRM and ERP data, setting up cloud or local storage, and applying privacy rules. The course explains how strong governance supports better reporting and helps your team stay compliant with data laws. You’ll also see how to improve your data quality so that your reports accurately reflect the entire situation.
Finally, you’ll learn how to select analytics tools that match your team’s needs. You’ll compare platform features, processing speed, ease of use, and support. By the end of the course, you’ll know how to prepare your data, choose the right tools, and support a sales process that runs with less delay.
What You'll Learn
- Identify key types of sales analytics—descriptive, predictive, and prescriptive—and their uses
- Explain how data infrastructure supports accurate, faster decision-making
- Apply governance practices to protect and organize sales data and stay compliant with data laws
- Manage CRM and ERP data and set up cloud or local storage
- Compare analytics platforms based on team needs and workflows
- Evaluate tools for scalability, usability, and compliance
Key Takeaways
- Many sales teams rely on reports that only describe the past, while descriptive, predictive, and prescriptive analytics enable more effective planning.
- A solid data system—covering CRM and ERP data, cloud or local storage, and privacy rules—keeps information accurate and organized.
- Strong governance supports better reporting and helps a team stay compliant with data laws.
- Improving data quality ensures reports accurately reflect the entire situation.
- Selecting the right analytics tools means comparing platform features, processing speed, ease of use, and support against team needs.
Frequently Asked Questions
Who is this course for?
It is for sales teams and professionals who want to use data to make sales decisions with more speed and accuracy and to support a sales process that runs with less delay.
What does the course cover?
It covers descriptive, predictive, and prescriptive analytics; building data infrastructure and governance; managing CRM and ERP data; cloud or local storage; privacy rules and compliance; improving data quality; and selecting analytics tools and platforms.
What skills will I gain?
You will gain skills in data governance, predictive modeling, and sales analysis.
How is the course structured?
It includes lessons on the Introduction, the Evolution of Sales Analytics, Building Data Infrastructure and Governance, a Test Your Knowledge section, and Selecting Analytics Tools and Platforms.
What will I be able to do by the end?
By the end, you will know how to prepare your data, choose the right tools, and support a sales process that runs with less delay.
