The Osemn framework provides a structured approach to data analysis, starting from data gathering to model generation. It emphasizes data scrubbing, exploration for patterns, and the use of various model types such as classification, regression, and clustering. Finally, it highlights the importance of interpreting results through visualizations and presentations.

1. OSEMN Framework Overview
By Raghvendra Singh

3. Obtain
Gather the data
● Determine what data would be useful
● Evaluate what data are available
● Decide on how the data can be gathered

4. Scrub
Clean the data to prepare it for analysis
● Correct inconsistent formatting
● Remove duplicate records
● Handle missing values
● Remove inaccurate information

5. Explore
Search for interesting patterns and statistics that stand out
● Examine variable distributions
● Examine variable relationships
● Perform statistical tests

6. Model
Generate predictions and insights
● Select a model type for your goals (often in cooperation with a partner)
● Categories of models include:
○ Classification - Is this “A” or “B”?
○ Regression - How much or how many?
○ Clustering - What natural segments can we find in our data?

7. iNterpret
Help others to understand the results of your analysis
● Build visualizations
● Construct stories
● Create presentations of your findings