Exploratory Data Analysis
Exploratory Data Analysis is the capability to comprehend trends, patterns, or abnormalities through data investigation. This involves understanding key statistical attributes. In the business intelligence realm, effective exploratory analysis can catalyse productive decisions by revealing unexpected insights. It is critical in driving innovation and fostering proactive business approaches.
Level 1: Emerging
At a foundational level you are able to use basic tools to explore data, identify simple patterns, and recognize obvious anomalies. You can summarise your findings to support routine business decisions, while knowing when to seek help for more complex analysis. Your work helps build confidence in using data as a regular part of your role.
Level 2: Proficient
At a developing level you are able to identify simple trends and patterns in data sets with some guidance. You use basic statistical tools to explore business data, recognizing when something looks unusual or stands out. Your work contributes to understanding business performance, helping your team spot opportunities or issues sooner.
Level 3: Advanced
At a proficient level you are able to independently explore business data to identify patterns, trends, and outliers. You confidently use statistical techniques to investigate the data and communicate findings in a clear, actionable way. Your analysis supports strategic decisions by uncovering insights that drive positive business outcomes.
