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Boone Trace Data Analysis Briefing:
Implications for KY Certified Trail
Towns
By
Jon Ludwig
Year in School, Majors
May 20, 2020
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
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
Kentucky ARC Counties by Business Type (Sample)
Entrepreneurial Ecosystems Data
Bar Charts (Sample)
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
INSERT Certified Trail Towns from Excell
Entrepreneurial Ecosystems by TT Region/Town
Entrepreneurial Ecosystems Data Charts
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
County Business Pattern Database (Sample)
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
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?

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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
  • 5. Kentucky ARC Counties by Business Type (Sample)
  • 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
  • 9. INSERT Certified Trail Towns from Excell
  • 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
  • 13. County Business Pattern Database (Sample)
  • 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?