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Data Interpretation

Data Interpretation refers to the ability to analyze and deduce meaningful insights from presented data. It includes understanding patterns, trends, discrepancies, and drawing conclusions to influence strategic decisions and actions. This capability requires strong analytical skills, critical thinking, and comprehension of data visualization techniques.

Level 1: Emerging

At an emerging level, you are beginning to learn and understand how to read, analyze and draw basic conclusions from numerical and qualitative data sources and reports.

Level 2: Proficient

At a proficient level you are able to interpret complex data sets, identify patterns, trends, and relationships, and present findings in a clear and understandable manner to support decision-making within the organization.

Level 3: Advanced

At an advanced level you are able to deeply analyze complex data sets, identify trends, patterns, and outliers, and provide insightful recommendations and predictions based on your findings.

Where is this capability used?