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4.3.2.4 The Six Steps of Data Analysis - Coggle Diagram
4.3.2.4 The Six Steps of Data Analysis
Ask
Define the problem
Focus on root causes, not symptoms.
Specify the issue by comparing the current and ideal states.
Identify stakeholders
Clarify stakeholder expectations and project goals before starting analysis.
Prepare
Collect data
Gather data aligned with analysis goals,
like surveys in distinct categories
(e.g., facility upkeep, customer service).
Organize data
Create a system to track and file responses for efficient access.
Process
Clean data
Remove:
inaccuracies,
duplicates,
biased data entries
to ensure reliability.
Verify accuracy
typos,
errors,
completeness
to maintain data integrity.
Analyze
Draw conclusions
Organize data to interpret results,
using visualizations to reveal trends or patterns.
Example analysis
Outdated equipment and high fees might jointly indicate low perceived value, suggesting investment in new equipment.
Share
Present findings
Use data visualizations to communicate insights clearly for stakeholders.
Support decision-making
Provide actionable insights to enable data-driven problem-solving.
Act
Implement insights
The business applies analysis conclusions to address the original problem effectively.