1. Building the Future Workforce
Mark H. Hanson
Addressing the Biggest Talent Questions on the Horizon

14. Talent Challenges and Solutions
GROWTH
M&A
Skills Availability
Talent Landscape
Career Pathing
Real Estate
Market Selection
COLLABORATION
INNOVATION
DATA

15. Market Selection Phase 1: Statistical analysis of call center turnover
Design and delivery of Attrition Trigger Metric Dashboard
Market Selection
Phase 2: Market Summary Dashboard
Recommendation tool that combined disparate data, standard scoring and decision tree logic to make the data actionable
Phase 3: Machine Learning and Artificial Intelligence
Market Similarity Matrix (Clustering) Dashboard and “AiM” Recommendation System

16. Market Selection – “What ifs”
Blue Print for Future Successes and Failures
Provide a blue print for which markets to shoot for and which ones to avoid, before even venturing for them.
Diverting Candidate Traffic
Of the existent markets, this methodology gives clues regarding why certain markets may not be performing well.
Hidden Gems in USA
Identify favorable markets we can invest in.
Database Recommendations
Results will be used to create hiring thresholds and media spend recommendation system.

17. Market Selection – Clustering
Clustering People
Clustering Movies
Think Facebook, LinkedIn, Netflix, Amazon…

18. Market Selection – Data Gathering
Demographics
Population Size & Growth, Ethnicity,
Education, Median Household Income, Unemployment Rate, % College Enrollment etc.
Labor Supply and Cost
Call Center and Claims Labor Profiles
Competition
Posting Intensity
Top Industries and School Programs
Real Estate Cost
UHG Specific
Employee headcount, saturation, NPS, media spend, hires etc.
UHG Databases
Vendors Sites
Government Data
Web Scraping

19. Market Selection - Hierarchical Clustering

20. Avg. Saturation (Scaled)
Market Selection - Impact of Saturation
Cluster 1
Cluster 2
Saturation
RED: 13%
Non-RED: 7%
Hires
RED: 385
Non-RED: 395
Avg. Saturation (Scaled)
Number of Hires

21. Market Selection 4D Map: Labor Cost vs Supply vs UHG Saturation vs Competition

22. Artificial intelligence Market Insights (AiM) Market Similarity Dashboard

23. AiM Recommendation System
Diverting Miami hiring and optimizing media spend recipe in Las Vegas
Atlanta
Miami
*San Antonio
Recommended Hires
< 315
*Houston
*Orlando
*Las Vegas
* Correlated to Miami by > 0.60

24. Market Selection - Machine Learning Overview
AiM Recommendation System
Market Intelligence Data
Principal Component Analysis
K-Means
Ran Weighted Pearson Correlation
2D Coordinates
Correlation Matrix - AiM Market Similarity Dashboard
Multidimensional Scaling

25. Talent Challenges and Solutions
GROWTH
M&A
Skills Availability
Talent Landscape
Career Pathing
Real Estate
Market Selection
COLLABORATION
INNOVATION
DATA

26. In conclusion…
No matter what environment you are in, we need to shed off our hubris, humble ourselves and start listening to our customers in a new way, collaborate with one another to drive innovation, and ultimately deliver value through data-driven solutions.