real-world data. real-world solutions

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Real-World Data. Real-World Solutions Courtney Taylor, PCED Interim Director, Center for International Business and Economic Development

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Real-World Data. Real-World Solutions. Courtney Taylor, PCED Interim Director, Center for International Business and Economic Development. Why We Use EMSI. Ease of Use Depth of Data Immediacy of Data Late Addition: it can’t be shut down during a government shutdown. How We Use EMSI. - PowerPoint PPT Presentation

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Page 1: Real-World Data. Real-World Solutions

Real-World Data. Real-World Solutions

Courtney Taylor, PCEDInterim Director,

Center for International Business and Economic Development

Page 2: Real-World Data. Real-World Solutions

Why We Use EMSI

• Ease of Use• Depth of Data• Immediacy of Data

• Late Addition: it can’t be shut down during a government shutdown

Page 3: Real-World Data. Real-World Solutions

How We Use EMSI

• Custom Reports & Analysis– Labor Force– Occupation Match– Industries– Demographics

• Economic Impact Analyses– EI of recruitment efforts– Theoretical Impacts– Academic studies

• Assistance with RFI’s• Compare Competing Communities (when known)

Page 4: Real-World Data. Real-World Solutions

Example of a Request

Courtney,We have a prospect, we need some numbers.

Courtney,Don’t you have that cool data thing you can use to help us out with some labor force numbers?

Page 5: Real-World Data. Real-World Solutions

Out of those Requests

• 8-10 external Data runs/month MINIMUM

• At least one Analysis/Month• Immeasurable “Goodwill” return • We are now a resource to people who

once viewed universities as “ivory tower people”

Page 6: Real-World Data. Real-World Solutions

Another Request…

Courtney,We need help showing an available labor force for in our region to help target new manufacturers.

Page 7: Real-World Data. Real-World Solutions

Availability of Supervisors?

Rabun County Region | Compatible Occupations for First-Line Supervisors of Production and Operating Workers (51-1011.00)

O*NET Code Occupation Median Hourly Earnings 2013 Jobs 2007-2013 Change 2007-2013 Estimated Annual Openings Compatibility Index

37-1012.00First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers

$20.88 142 6 6 94

47-1011.00 First-Line Supervisors of Construction Trades and Extraction Workers $22.90 277 (219) 7 94

35-1011.00 Chefs and Head Cooks $14.29 71 0 2 93

11-3051.00 Industrial Production Managers $41.75 135 (15) 4 93

53-1021.00 First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand $20.08 70 (14) 2 93

First-Line Supervisors of Production and Operating WorkersMedian Hourly Earnings* $25.232013 Jobs* 4972007-2013 Change* -902007-2013 Estimated Annual Openings* 10*These figures are taken from: SOC 51-1011.

Page 8: Real-World Data. Real-World Solutions

Available of CSRs?

SOC Description 2007 Jobs 2013 Jobs Change % Change2007 National

Location Quotient

2013 National Location Quotient

Median Hourly Earnings

Avg. Hourly Earnings

Regional Completions

(2012)Education Level

43-4051 Customer Service Representatives 1,174 1,122 (52) (4%) 0.79 0.83 $13.38 $14.35 5 Short-term on-

the-job training

Total 1,174 1,122 (52) (4%) $13.38 $14.35

Source: QCEW Employees - EMSI 2013.3 Class of Worker

Page 9: Real-World Data. Real-World Solutions

A professor from the College of Education needed to know about future demand for Elementary School Teachers. As usual, data was needed IMMEDIATELY.

Page 10: Real-World Data. Real-World Solutions

Basic Demographics

Page 11: Real-World Data. Real-World Solutions

Curiosity

• Lawrence County, Alabama is slated to lose 1045 jobs at a paper mill in early 2014.– I was curious about impacts…but I’m not an

economist. – That’s where EMSI (AKA Desktop

Economist) came in…

Page 12: Real-World Data. Real-World Solutions

Theoretical Impacts

Page 13: Real-World Data. Real-World Solutions
Page 14: Real-World Data. Real-World Solutions

Quick Data

• What are the general demographics for my area?

• What is the largest Industry?• Is my area outperforming the state, region,

competing area, or nation in a certain industry?• What occupations are growing? Shrinking?• Are there gaps in educational programs?• What are the largest businesses in my region?• Demographics, occupations, industries, etc

within a certain distance from a point.

Page 15: Real-World Data. Real-World Solutions

Industrial Data

Page 16: Real-World Data. Real-World Solutions

Occupation Data

Page 17: Real-World Data. Real-World Solutions

Occupations with Largest Growth and Decline in the Region

Page 18: Real-World Data. Real-World Solutions

Largest Businesses in the Region

Page 19: Real-World Data. Real-World Solutions

Aviation Sector Information

Page 20: Real-World Data. Real-World Solutions

Click the MapMRO Occupations w/in 25 miles of a click on the map

Page 21: Real-World Data. Real-World Solutions

MRO Jobs w/in 25 Miles Ranked

Page 22: Real-World Data. Real-World Solutions

Statistics for Jobs in Defined Region

Page 23: Real-World Data. Real-World Solutions

Future?

• More Analyses, less “runs”• More partnerships with professionals• Less time per data run/analysis• Develop template for most common

data requests• Continue to encourage local economic

developers to embrace data.