C207 Study Guide - Notes
Data-Driven Decision Making
(Western Governors University)
, WGU C207 – Data-Driven Decision Making
COMPLETE OA MASTER STUDY GUIDE
1. What WGU C207 Tests (Read This
First)
C207 does not test heavy math or software
skills. It tests your ability to:
• Identify the correct type of data
• Choose the appropriate analytical method
• Interpret results correctly
• Avoid false conclusions (especially causation errors)
• Support business decisions with data
You are being tested as a decision-maker, not a statistician.
2. Data-Driven Decision Making (Core
Concept) Data-Driven Decision Making
A structured approach to making business decisions by collecting,
analyzing, and interpreting data to reduce uncertainty and improve
outcomes.
Key Goal
Use evidence—not intuition—to justify decisions.
3. Data vs.
Information Data
Raw facts or observations that have not yet been analyzed.
Information
Data that has been processed, organized, and interpreted to create
meaning.
4. Data Types (Foundation of All
Analysis) Qualitative (Categorical)
Data
Qualitative Data
Non-numerical data that describes characteristics or categories.
Data-Driven Decision Making
(Western Governors University)
, WGU C207 – Data-Driven Decision Making
COMPLETE OA MASTER STUDY GUIDE
1. What WGU C207 Tests (Read This
First)
C207 does not test heavy math or software
skills. It tests your ability to:
• Identify the correct type of data
• Choose the appropriate analytical method
• Interpret results correctly
• Avoid false conclusions (especially causation errors)
• Support business decisions with data
You are being tested as a decision-maker, not a statistician.
2. Data-Driven Decision Making (Core
Concept) Data-Driven Decision Making
A structured approach to making business decisions by collecting,
analyzing, and interpreting data to reduce uncertainty and improve
outcomes.
Key Goal
Use evidence—not intuition—to justify decisions.
3. Data vs.
Information Data
Raw facts or observations that have not yet been analyzed.
Information
Data that has been processed, organized, and interpreted to create
meaning.
4. Data Types (Foundation of All
Analysis) Qualitative (Categorical)
Data
Qualitative Data
Non-numerical data that describes characteristics or categories.
