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D099 Sales Management Module 5: Insights and Analytics | WGU Study Guide 2026

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D099 Sales Management Module 5: Insights and Analytics | WGU Study Guide 2026

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lOMoARcPSD|44532475




eanagement
Module D099
5 Insights
Study
Sales
Guide
and
Management
Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@@@@@@@(*$$$$$$$$$$$$$$$$)!
Module 5 Insights
Study Guide
and Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@@@@@@@(*$$$$$$
Module 5 Insights and Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@




D099- Sales Management
Study Guide
Module 5

1. How does sales analytics using CRM data contribute to a company's sales

practices, strategies, and management decision-making?

a. Purpose: Analyzes past sales activities to identify trends, set objectives,

and forecast outcomes.

b. Usage: Sales analytics helps relate sales activities to revenue, segment

customer bases, prioritize leads, and improve customer retention

strategies.



2. Define sales analytics and discuss the two significant roles sales analytics plays

for a sales team.

a. Definition: Extracts insights from sales data to model, understand, and

predict sales trends.

b. Roles:

i. Internal Perspective – Segment and prioritize customer bases for

efficient targeting.

ii. External Perspective – Validate company value to customers by

aligning services with customer needs.



3. Describe the four steps in the sales analytics process or workflow.




eanagement
Module D099
5 Insights
Study
Sales
Guide
and
Management Downloaded by madibaandSouth Africa stuvia ()
Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@@@@@@@(*$$$$$$$$$$$$$$$$)!
Module 5 Insights
Study Guide
and Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@@@@@@@(*$$$$$$
Module 5 Insights Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@

, lOMoARcPSD|44532475




eanagement
Module D099
5 Insights
Study
Sales
Guide
and
Management
Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@@@@@@@(*$$$$$$$$$$$$$$$$)!
Module 5 Insights
Study Guide
and Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@@@@@@@(*$$$$$$
Module 5 Insights and Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@




a. Collection – Gather relevant data (e.g., surveys, online forms).

b. Processing – Organize data into spreadsheets or models for analysis.

c. Analysis – Use charts and graphs to visualize patterns.

d. Interpretation – Apply insights to guide business decisions.



4. Describe the four levels of sales data analytics and explain how data analysis

supports decision making efforts

a. Descriptive – Answers "What happened?" by reviewing historical data.

b. Diagnostic – Answers "Why did it happen?" by comparing historical data.

c. Predictive – Uses past patterns to forecast future trends.

d. Prescriptive – Suggests actions to achieve desired outcomes based on

data analysis.



5. Describe the steps in the workflow for prescriptive analytics.

a. Data Acquisition – Gather and process data.

b. Hypothesis Formation – Analyze data to form hypotheses.

c. Initial Actions – Test hypotheses with pilot actions.

d. Action Refinement – Adjust actions based on results.



6. List and describe the three Vs of Big Data.

a. Volume – Large amounts of data from various sources.

b. Velocity – Speed at which data is generated and collected.

c. Variety – Different forms of data (structured, unstructured, multimedia).




eanagement
Module D099
5 Insights
Study
Sales
Guide
and
Management Downloaded by madibaandSouth Africa stuvia ()
Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@@@@@@@(*$$$$$$$$$$$$$$$$)!
Module 5 Insights
Study Guide
and Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@@@@@@@(*$$$$$$
Module 5 Insights Analytics.pdf~~~~~~~~~~~~~~~~!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!@)*#(&^$(***********)@@@@@@@@@@@@@

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