The document outlines a presentation on the future of applied data in business, focusing on the use of freely available data sources. It highlights the expertise of the speakers, David Tello and Mark Barbour, and provides an agenda for sharing data sources, demonstrating their use, and engaging in discussion. Key data examples include government statistics and weather data, showcasing analytical insights relevant to business applications.

2. The Future of
Applied Data in
Business
Looking at freely available sources of data as
a business resource

3. David Tello
• Cross-disciplinary, business oriented Analytics Mindset:
• Ph.D. Applied Mathematics (ASU, 2012)
• M.B.A. Finance Concentration (GCU, 2015)
• Independent Researcher
• Assistant Professor of Applied Mathematics (GCU, 08/12-04/16)
• Adjunct Professor of Quantitative Methods (GCU, 01/15-05/16)
• Analyst/Senior Analyst/Investment Associate (RDF, 05/16-08/19)
• Grand Awards Judge Intel ISEF 2013 and 2019
• Judge AzSEF 2019
Experienced in: computational modeling, mathematical modeling, regression modeling, financial
analysis, problem-oriented modeling construction, credit analysis, community development finance,
financial analysis, financial underwriting, real estate finance, and risk analysis.

4. Mark Barbour
•Foxbat LLC
• Education, AI Sec
Implementation, Politics,
Real Estate, Telecoms
•Started as a 911 Dispatcher
•Moved into Private Sector IT
•Wanted to do more than analyze
logs and emails

5. Session Objectives & Agenda
• Objectives:
• Share useful sources of open data
• Inspire you to think creatively about data
• Understand the power and availability of data
• Agenda:
• Explore a few useful sources of data
• Demo an example that we’ve compiled
• Show our process
• Open Discussion/Q&A

6. https://www.business-
science.io/python-
cheatsheet.html
Matt Dancho, DS

7. General Data
bit.ly/2RdayOz

8. Government Data
Data.gov
bit.ly/35YZEQq

9. Economic Data
St. Louis Federal Reserve
bit.ly/380gujR

10. Crime Stats
Phoenix Crime Stats
bit.ly/2OIqp69

11. Example:
Weather Data
National Oceanic &
Atmospheric Administration
https://bit.ly/2PmUp6P

12. 702.23 GB
of
Stored Weather Data

13. #BIGDATA
Rows
483,432,547
Dates: 05-07 to 12-17

14. #BIGDATA
Python Generators

15. AZ (Phoenix) Data

17. Is Phoenix really HOT? (3-digits days)

25. Number of three-digits days
from 05-07 to 12-17
1,187
Total number of days
from 05-07 to 12-17
3,898
YES, on average, in 2017 Phoenix was hotter than in 2008
The average of the difference for the
daily average temperatures
in 2017 vs 2008 was
1.118
In general, in Phoenix, the average difference in temperature
between a sunny and a cloudy day is 10.53

32. Contact us!
https://www.linkedin.com/in/tellodavid/
https://www.linkedin.com/in/
mark-barbour-92682117a/
power@foxbatcs.org