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Jon ludwig Data Analysis Briefing for Certified KY Trail Towns pptx
1. Boone Trace Data Analysis Briefing:
Implications for KY Certified Trail
Towns
By
Jon Ludwig
Year in School, Majors
May 20, 2020
2. Purpose of Briefing
• To display entrepreneurship ecosystem trends from the Daniel Boone
Trace (DBT).
• To display how trends have implications in certified Trail
Towns/Regions
• To show how to utilize multiple databases to further
entrepreneurship ecosystem and to highlight county business trends
• To inquire about how to move forward in this analysis, and what we
could do to improve
3.
4. Initial Dataset
• ARC Study of Appalachian Counties Ranked by Business Type
• Entrepreneurial Ecosystems Data for Boone Trace Counties
• Bar charts translating the data into a visual representation
8. Our Contribution
• We replicated the same model used to analyze the Boone Trace
counties
• Used this model to analyze Entrepreneurial Ecosystems for certified Trail
Towns in other Trail Town regions
• Created charts for easier representation of the data
12. One Step Further
• Went to the United States Census website
• Found database containing county business patterns categorized
NAICS business codes
• Created a database for Boone Trace county business patterns
• Can create same database for other Trail Town counties
14. Critical Findings for Boone Trace Towns
• Towns with higher populations tend to have the highest number of
start-up businesses
• Towns with higher populations have higher growth rates for their
establishments
15. Moving Forward
• How might we utilize this data for further KY TT analysis?
• How might we display this data in a clear /concise / actionable
manner?
• What would be the best methodology to proceed with further
analysis to develop business retention strategies?
• Do you have any questions?
• Recommendations for improvement?