WGU D468 A+ Data Analytics Objective Assessment Mastery Guide:
Complete Data Analysis Framework, Business Intelligence
Strategies, Data-Driven Decision Making, Analytical Thinking
Techniques, Data Lifecycle Management, Data Governance
Principles, Research Methodologies, Problem-Solving Approaches,
Insight Discovery Methods, Data Preparation & Transformation,
Statistical Reasoning, Visualization Techniques, Business Reporting,
Strategic Analysis, Root Cause Investigation, Process Improvement
Models, Decision Support Systems, Ethical Data Practices, Bias
Reduction Strategies, SMART Goal Development, Real-World Case
Applications, Exam-Focused Concepts, Practice Questions, Detailed
Explanations, Comprehensive Review Notes, Final Assessment
Preparation Reviewed 2026
six steps of the data analysis process
Ask, Prepare, Process, Analyze, Share, Act
Ask phase
Work to understand the challenge to be solved or the question to be answered. Likely be
assigned to you by stakeholders
Process phase
Clean and organize your data. Removing any inconsistencies, filling in missing values,
changing data to a format that's easier to work with.
, Prepare phase
Find and collect the data you'll need to answer your questions. Identify data sources, gather
data, and verify that it is accurate and useful.
Analyze phase
Doing the necessary data analysis to uncover answers and solutions. Also examining trends
and patterns.
Share phase
When you present your findings to decision-makers through a report, presentation, or data
visualizations. You also decide which medium you want to share your findings and select the
data to include.
Act phase
Putting the data insights into action. This could mean, implementing a new business strategy,
making changes to a website, or any other action that solves the initial problem.
Data ecosystems
The various elements that interact with one another in order to produce, manage, store,
organize, analyze, and share data
Data-driven decision making
Using facts to guide business strategy
Complete Data Analysis Framework, Business Intelligence
Strategies, Data-Driven Decision Making, Analytical Thinking
Techniques, Data Lifecycle Management, Data Governance
Principles, Research Methodologies, Problem-Solving Approaches,
Insight Discovery Methods, Data Preparation & Transformation,
Statistical Reasoning, Visualization Techniques, Business Reporting,
Strategic Analysis, Root Cause Investigation, Process Improvement
Models, Decision Support Systems, Ethical Data Practices, Bias
Reduction Strategies, SMART Goal Development, Real-World Case
Applications, Exam-Focused Concepts, Practice Questions, Detailed
Explanations, Comprehensive Review Notes, Final Assessment
Preparation Reviewed 2026
six steps of the data analysis process
Ask, Prepare, Process, Analyze, Share, Act
Ask phase
Work to understand the challenge to be solved or the question to be answered. Likely be
assigned to you by stakeholders
Process phase
Clean and organize your data. Removing any inconsistencies, filling in missing values,
changing data to a format that's easier to work with.
, Prepare phase
Find and collect the data you'll need to answer your questions. Identify data sources, gather
data, and verify that it is accurate and useful.
Analyze phase
Doing the necessary data analysis to uncover answers and solutions. Also examining trends
and patterns.
Share phase
When you present your findings to decision-makers through a report, presentation, or data
visualizations. You also decide which medium you want to share your findings and select the
data to include.
Act phase
Putting the data insights into action. This could mean, implementing a new business strategy,
making changes to a website, or any other action that solves the initial problem.
Data ecosystems
The various elements that interact with one another in order to produce, manage, store,
organize, analyze, and share data
Data-driven decision making
Using facts to guide business strategy
