SlideShare a Scribd company logo
Using Talent Market Data to Create Workforce
Intelligence
©Human Capital Management Institute
Tactics, Best Practices and examples
©Human Capital Management Institute
2
✓ Integrates HR, finance and operations data
✓ Applies AI with 100s of predictive machine learning algorithms
✓ Links workforce analytics to financial and business outcomes
✓ Workforce analytics software (SOLVETM) and services firm
✓ Thought leader in linking human capital to financial results
✓ Cost and value driver insights to optimize workforce spend
3
Jeff Higgins
Founder & CEO, HCMI
Jeff is a leading expert with 30 years
of experience in human capital analytics and
workforce planning, key architect of ISO30414,
global standard to measure/report workforce,
an adjunct professor of people analytics at
USC.
A former CFO and HR executive, Jeff and his
HCMI team are trusted by clients around the
world to make smarter data-driven decisions
that quantify workforce ROI.
Speaker
Jeff can be contacted at jeff.higgins@hcminst.com | https://www.hcmi.co
Predict & Act
- Prescriptive Analytics
- Optimization Modeling
Source: Gartner Inc.
Analytics and Workforce Planning Maturity Model
4
© Human Capital Management Institute
The Future is Predictive, Optimized and Prescriptive!
© Human Capital Management Institute 5
What External Data do we Need, Why and Where to get it?
Industry / Market Data
Risk Factors
Technology Changes
External Statistics
Bureau of Labor Statistics
Location,
Labor Costs
HR
Workforce
Demographics
Skill Shortages
Market Shifts
Off-shoring /
Outsourcing
Globalization
Disasters / Health Crisis
6
What Everyone Thinks of HR Analytics
©Human Capital Management Institute
What Can External Talent Data and Tools be Used For
56% of US Citizens think that the country is already in a recession
7
1. MassMutual
2. The U.S. Bureau of Economic Analysis
3. PwC
Power dynamics shift back toward employers3
Companies are focused on making sure they’re not just hiring people, but
hiring the right people.
83% of CHROs say their companies are considering or have already reduced
overall headcount.
The decrease in real GDP reflected decreases in private
inventory investment, residential fixed investment, federal
government spending, and state and local government
spending, that were partly offset by increases in exports
and consumer spending.2
Q3
Example: Quantifying Manager Effectiveness and $ Impact
via Talent Management Index
8
Example: Using Tools and Data to Quantify Manager Effectiveness
9
Which managers are more effective at managing talent?
Manager A Manager B
• Exceeds business goals
• Hires exp’d employees
• No training
• High turnover
• Low mobility
• Mixed performance
• Low Engagement
• Exceeds business goals
• Hires junior employees
• Trains the team personally
• Low turnover
• More transfers/promotions
• High employee performance
• High engagement
© Human Capital Management Institute 10
Audience Question
Do you utilize external market data to assess talent demand and
supply on a local and regional level?
If so what kind of external data?
Types of External Talent Market Data
11
➢ External Job/Talent Demand Data - Near real time from job
boards and Data scraping companies
➢ External Talent Supply Data – Where is the most qualified
talent by job and geographic area
➢ External Compensation Benchmark Data –
• Can be either recent or older benchmarks
• Powerful when matched with Talent Supply Data
➢ Country/State/City level Economic Data (i.e. GDP, Inflation
Rate, Unemployment, ..)
➢ HR Metric Benchmark Data
• Workforce metrics by location/job type (i.e. hiring, Turnover data)
➢ Customized External Data such as Competitor, Workforce
Productivity, Culture
External Demand Data Example – Top Tech Companies
12
• Sample: Job postings of 41 leading tech companies
from each month for the last 3 years
• By Company, Location, and Job
Use External Competitor Demand Data To…
• Predict and Preempt Talent Competition
• Identify which roles and locations have the highest
demand (Use Job Framework)
• Better target recruiting incentives and strategies
• Find underutilized talent locations
Tech Company Workforce Demand by State
Demand by Year and Quarter
13
1. Define business questions/issues
2. Data gathering, validation, cleansing
& integration
3. Data Analysis
4. Translate data into actionable insights
What People Think about HR
Analytics vs. Reality
Elements of Good Data
Storytelling
Tips For Good Data Stories
©Human Capital Management Institute
#1 Choose Great Visuals for
Content, not the Best Looking
#2 Avoid Jargon and
Technical Terms
#3 Avoid Tunnel Vision and
Focus on The Big Picture
#4 Show Linkage to Business
Impact
What Makes A Good Story
14
What Makes A Good Story – Actionable
Having “told” a good story is not enough! In our
world, every insight and prescription needs to be
actionable.
Example: You found out that hiring internally
leads to more money save and a higher chance
of a new hire is a high performer.
Actionable: for every position hired internally,
the business can save $10,000 per position and
have 3 in 5 new hires turning out to be a high
performer
©Human Capital Management Institute
15
Example: Cybersecurity Job Demand Analysis
By Company – DC Area (Maryland, and Virginia)
Demand:
CybersecurityAnalyst–428
CybersecurityEngineer–336
CybersecurityManager/Administrator-76
InMay2021,ofallcompetitors,NorthropGrummanhasthehighestnumberofjobdemandpostingsforCybersecurity
Analysts
Top10Companiesbydemandinalllocations(DCarea–excluding)–Talentcompetitors=IndustryRelated,Other
Industries
• GeneralDynamics
• BoozAllenHamilton
• CACI
• Raytheon
• NorthropGrumman
• Peraton
• MitreCorp
• BAESytems
• ManTech
• Deloitte
TotalJobDemandPostings(Annualized–fortheD.C.Area):
CybersecurityAnalyst–15,532
CybersecurityEngineer–10,420
CybersecurityManager/Administrator–2,372
16
Example: Cybersecurity Supply Analysis by
State/City
DC Area, Ohio, Texas, Florida, California, Illinois
©Human Capital Management Institute
BLS Detailed Group – Cybersecurity Analyst Equivalent
• Information Security Analysts
Cyber Security Example Job Description:
Plan, implement, upgrade, or monitor security measures for the
protection of computer networks and information. Assess system
vulnerabilities for security risks and propose and implement risk
mitigation strategies. May ensure appropriate security controls are in
place that will safeguard digital files and vital electronic infrastructure.
May respond to computer security breaches and viruses.
Example Job Titles
Information Security Analysts, Information Security Engineers,
Information Security Officers, Information Security Specialist,
Information Systems Security Analyst, Information Systems Security
Officer (ISSO), Information Technology Security Analyst (IT Security
Analyst), Information Technology Specialist, Network Security Analyst,
Security Analyst, Systems Analyst
DC Area = (DC, Virginia and Maryland), Texas, Florida, California, Illinois
*Salary includes all levels and years of experience for the group
Size of bubble is based on total supply available
Labor concentration = Concentration of this type of job relative to other jobs in the area, compared to the national average – see appendix for full equation
©Human Capital Management Institute
Cybersecurity Job Supply Demand Analysis by State
• As of May 2021, Supply vs demand (employed talent over annualized posting demand) varies from plentiful (Texas, DC) to average (CA, OH)
• Virginia and Maryland have the lowest talent supply in relation to Demand, but is balanced when combined with the DC area talent pool
• In the combined DC area, for every posting (annualized), there are 2.2 currently employed in similar fields
17
𝑆𝑢𝑝𝑝𝑙𝑦
𝐴𝑛𝑛𝑢𝑎𝑙𝑖𝑧𝑒𝑑 𝐷𝑒𝑚𝑎𝑛𝑑
Ratio Calculation
9,980 (𝑆𝑢𝑝𝑝𝑙𝑦)
10,348(𝐴𝑛𝑛𝑢𝑎𝑙𝑖𝑧𝑒𝑑 𝐷𝑒𝑚𝑎𝑛𝑑)
=.96
Example Calculation: - California
Rounded to 1.0 in chart provided to the left:
– a 1.0 ratio would indicate a highly
competitive market for talent.
For each job posting (annualized), there
is one cybersecurity professional
meaning demand is very strong relative
to supply.
High supply ratios, like 3.9 for Texas,
indicates more plentiful talent (3.9 workers
for 1 annualized open job i.e. demand).
See exact Supply and Demand below:
©Human Capital Management Institute 18
Example: Look at Demand by key Competitors
© Human Capital Management Institute 19
Example: Find the Best Cities to Hire for any Given Job
Where is the best location to expand or relocate?
20
Example: Find the Best Cities to Hire Software Programmers
What to Consider
1. Talent supply
2. Talent demand
3. Average Salary
Goals
Rank cities by their
abundance of talent
supply vs. cost
©Human Capital Management Institute
21
VS
Tip #1 Choose the Best Chart for Contents, not the Best Looking
©Human Capital Management Institute
©2020 WorldatWork
Find the Best Talent at the Best Cost (i.e. what we can afford)
This is where to find
Programmers for 20% less cost
Find Locations with Strong Talent Supply for Critical and High Demand Roles
22
© Human Capital Management Institute 23
What critical job roles / groups are:
• A large, high cost or high impact group of jobs, typically
“Core” to the organization
What critical job roles / groups are not:
• A single person or unique individual job
Both Are Critical Groups:
• Sales
• Pilots
• Sr. Management
• Doctors
• Flight Attendants
• Engineers
• Customer Service
• Nurses
Strategic Critical Operational Critical
• Pilots
• Doctors
• Sr. Management
• Nurses
• Customer Service
• Flight Attendants
Strategic Critical Core Non-Core
Operational Critical Support Feeder Roles
Managers
Engineers
Sales
Traditional Example
Strategic Operational Critical
Getting Value from External Data – Job Classification and Critical Roles
Example Application: Workforce Image Map
Visualizing the organization
24
Workforce Image Map
The Workforce Image Map (WIM) tool can be utilized to compare the
incidence and impact of workforce interventions, analyze workforce
categories, model and test alternate scenarios, and ultimately enable fact-
based, fair decisions within and across multiple, interdependent variables.
Top Use Cases:
1. Top In Demand Jobs
2. Top Labor Supply by Cost
3. Demand and Supply by Location
4. Best Locations for Best Cost
5. Change Rates and Labor Arbitrage
Technology Company Demand 2020
©Human Capital Management Institute 25
Buildvs BuyCyberAnalystTalentAnalysis
Theoverallcybersecurityjobtalentfacesunprecedentedtalent shortagesthat willworsenovertime,
acceleratingthe talent warespeciallyinhighdemandlocationsforthe mostqualifiedandexperienced
talent.
QuestionsaBuildvsBuyAnalysisHelpsto Answer:
• Should buy,buildorcontractto fillcybertalent gaps?
• Cost-Benefitofexpandingcyberanalysttrainingviaacademy?
• Cost-BenefitofaddedTAstaffvs.increasedhires?
• Howto winthe cybertalentwarwithoutjustpayingmore?
HypotheticalActionsfromInsights:
Whileitisimpossibletoevaluate buildvs.buystrategy optionswithout datathebelowhypothetical
scenarioisbaseduponHCMIexperiencewithmultiplepeersandcompetitors.
Adopta“TrainingGround,BuildTalent”WorkforceStrategy:
• maybeableto fill10%to 33%moreofits’CyberAnalysthiringdemandviaarobustinternaltalent
development,trainingandpartnernetwork
• Organizationsthat leverageabuildfirst,buysecondstrategy typicallyenjoy10%to 15% lowertotallabor
costs
• Typicalorganizationsindefense,govt.contractingservicesoftenpromoteslowly,increasingvoluntary
turnoverrateandloweremployeeengagement
• canfillmanyoutsidehirejobsfasterat lowerexperiencelevelsaswellasimproveretentionsourcing
morejuniorstaffandtraining
Application Sample: Cyber Analyst Talent
Options - Build v Buy v Contract
©Human Capital Management Institute 26
Career path design
and quantification
model
BuildvsBuyCyberAnalystTalentAnalysis
• Theoverallcybersecurityjobtalentfacesunprecedentedtalentshortagesthatwillworsenovertime,
acceleratingthetalentwarespeciallyinhighdemandlocationsforthemostqualifiedandexperiencedtalent
• 2020 overallcybersecurityjobdemandvs.supplytalentgapis870,000 jobsworseningto -2.6 millionjobsby2023
• TheCybersecurityandCyberAnalystjobfamilyfaceanunprecedentedtalentshortageof -164,000increasingto
2020 CyberAnalystdemandvs.supplytalentgapis164,000jobs,worseningto -502,000 jobsby2023
QuestionsaBuildvsBuyAnalysisHelpstoAnswer:
• Should buy,buildorcontractto fillcybertalentgaps?
• Cost-Benefitofexpandingcyberanalysttrainingviaacademy?
• Cost-BenefitofaddedTAstaffvs.increasedhires?
• Howto winthecybertalentwarwithoutjustpayingmore?
HypotheticalActionsfromInsights:
Whileitisimpossibletoevaluate buildvs.buystrategyoptionswithout datathebelowhypotheticalscenarioisbased
uponHCMIexperiencewithmultiplepeersandcompetitors.
Adopta“TrainingGroundBuildTalent”strategy
• maybeableto fill10%to 33%moreofits’CyberAnalysthiringdemandviaarobustinternaltalentdevelopment,
trainingandpartnernetwork
• Organizationsthatleverageabuildfirst,buysecondstrategytypicallyenjoy10%to15% lowertotal laborcosts
• Typicalorganizationsindefense,govt.contractingservicesoftenpromoteslowly,increasingvoluntaryturnover
rateandloweremployeeengagement
• canfillmanyoutsidehirejobsfasteratlowerexperiencelevelsaswellasimproveretentionsourcingmorejunior
staffandtraining
Application Sample: Cyber Analyst Talent
Options - Build v Buy v Contract
Human Capital Management Institute
Jeff Higgins, CEO
Jeff.higgins@hcminst.com
www.hcmi.co
Thank you!
27
©Human Capital Management Institute

More Related Content

PDF
Benoit Hardy-Vallee: Digital Experience Technology - an indispensable ally fo...
PPTX
Andreas Kyprianou: People Analytics in startups - an impossible task?- Andrea...
PPTX
Maureen Gillespie: Measuring Empowerment Within Organizations
PDF
Max Blumberg: How can #PeopleAnalytics prevent incidents like the Twitter fir...
PDF
Marcus Baker: People Analytics at Scale
PDF
Alec Levenson: Future Proofing People Analytics
PDF
An Introduction to Strategic Talent Sourcing
PDF
How to create more impact with People Analytics
Benoit Hardy-Vallee: Digital Experience Technology - an indispensable ally fo...
Andreas Kyprianou: People Analytics in startups - an impossible task?- Andrea...
Maureen Gillespie: Measuring Empowerment Within Organizations
Max Blumberg: How can #PeopleAnalytics prevent incidents like the Twitter fir...
Marcus Baker: People Analytics at Scale
Alec Levenson: Future Proofing People Analytics
An Introduction to Strategic Talent Sourcing
How to create more impact with People Analytics

What's hot (20)

PDF
Dr. Priyameet Kaur Keer: Emergence of HR Analytics
PDF
Digitization of hr slideshare kenny company 2018 pdf version
PDF
Ten Templates for Talent Management
PPTX
Creating a Talent Acquisition Roadmap
PPT
Basics of Employer Branding
PDF
The New Model for Talent Management: Agenda for 2015
PDF
Talent pwc talent-mobility-2020
PDF
HR Analytics
PDF
Hr and People analytics
PDF
HR / Talent Analytics
PDF
ZF Leadership Accountability
PPTX
Recruitment Strategy.pptx
PPTX
Tucker Knox Corporation
PPTX
Hr analytics whywhathow
PDF
Talent Acquisition Strategy
PDF
2019 Women in the Workplace
PPT
Talent strategy
PDF
Artificial Intelligence application in workplace
PPTX
AI and the impact on Education
PPTX
Redesigning the Role of Talent Acquisition From Transactional to Strategic
Dr. Priyameet Kaur Keer: Emergence of HR Analytics
Digitization of hr slideshare kenny company 2018 pdf version
Ten Templates for Talent Management
Creating a Talent Acquisition Roadmap
Basics of Employer Branding
The New Model for Talent Management: Agenda for 2015
Talent pwc talent-mobility-2020
HR Analytics
Hr and People analytics
HR / Talent Analytics
ZF Leadership Accountability
Recruitment Strategy.pptx
Tucker Knox Corporation
Hr analytics whywhathow
Talent Acquisition Strategy
2019 Women in the Workplace
Talent strategy
Artificial Intelligence application in workplace
AI and the impact on Education
Redesigning the Role of Talent Acquisition From Transactional to Strategic
Ad

Similar to Jeff Higgins: Using Talent Market Data to Create Workforce Intelligence (20)

PDF
LinkedIn Talent Insights + Recruiter User Guide
PPTX
Getting Compensation Right
PDF
People Analytics: Improving the Employee Experience and Productivity
PPTX
Hr Analytics
PDF
Recruiting From Within
PPTX
2013 State of the Union: The Critical Importance of Hiring & Retaining Employ...
PDF
RT__WPT_Guide_FinalDigitalSingle
PDF
The Analytical HR Professional: A Look at Data-Driven Talent Management
PPT
Salarycom h rcom_ppttemplatemar2609_final
PDF
THE DATAFICATION OF TALENT MANAGEMENT: HOW PEOPLE ANALYTICS LEADS TO STRATEGI...
PDF
Sra Dn Presentation [Compatibility Mode]
PPTX
Talnt analytics
PPT
1 The New Balance Sheet
PDF
Human Resource Planning.pdf
PDF
Transforming today’s workforce
PPTX
HCMI Intro SOLVEPro Demo Deck Aug 2016e
PDF
ADP ReThink Global HCM 2015: Driving Innovation, Expertise and Insight
PPT
managing human resources
PDF
ENSURE YOU ARE HIRING THE BEST AND BRIGHTEST TALENT
PDF
Whitepaper_HiringScale_2014 - Updated
LinkedIn Talent Insights + Recruiter User Guide
Getting Compensation Right
People Analytics: Improving the Employee Experience and Productivity
Hr Analytics
Recruiting From Within
2013 State of the Union: The Critical Importance of Hiring & Retaining Employ...
RT__WPT_Guide_FinalDigitalSingle
The Analytical HR Professional: A Look at Data-Driven Talent Management
Salarycom h rcom_ppttemplatemar2609_final
THE DATAFICATION OF TALENT MANAGEMENT: HOW PEOPLE ANALYTICS LEADS TO STRATEGI...
Sra Dn Presentation [Compatibility Mode]
Talnt analytics
1 The New Balance Sheet
Human Resource Planning.pdf
Transforming today’s workforce
HCMI Intro SOLVEPro Demo Deck Aug 2016e
ADP ReThink Global HCM 2015: Driving Innovation, Expertise and Insight
managing human resources
ENSURE YOU ARE HIRING THE BEST AND BRIGHTEST TALENT
Whitepaper_HiringScale_2014 - Updated
Ad

More from Edunomica (20)

PDF
Daniel Samaan: ChatGPT and the Future of Work
PDF
Fanni Kadocsa: Unlocking the power of capability building: Maximizing the imp...
PDF
Zack Johnson: Session title: People Analytics: the epicenter of management an...
PPTX
Anita Zbieg: How to make data actionable? Lessons from the teams on how to tu...
PDF
Aizhan Tursunbayeva: The ethics of people analytics: risks, opportunities and...
PDF
Kevin Martin: The New Corporate Currency
PPTX
Catherine Coppinger: Why Anchor Days Are Sinking Productivity & What to Do Ab...
PPTX
Kevin Martin: Empowering Your Board with the People Analytics That Matter
PDF
Aizhan Tursunbayeva: Navigating Opportunities and Risks: A Responsible Approa...
PPTX
Alan Susi: Organizational Health: A People Team’s path to Minimum Viable ‘Wo...
PDF
Cole Napper: Are you ready for generative AI in people analytics?
PPTX
Fahim Karim: Attrition Prevention
PDF
Taras Filatov: Building your own metaverse & NFT app
PDF
Alex Poon: Should you gamify community contributions?
PDF
Julio Holon: Decentralised colaboration
PDF
Startup Presentation: Gaianet
PDF
Shawn Grubb: Minnows v. whales: Quadratic Governance to the rescue
PDF
Joachim Stroh: Hypha DAO, the 3rd generation of DAOs
PDF
Vikram Aditya: Biggest Opportunity Areas in the DAOverse
PDF
Tamara Helenius: The Commons are Coming
Daniel Samaan: ChatGPT and the Future of Work
Fanni Kadocsa: Unlocking the power of capability building: Maximizing the imp...
Zack Johnson: Session title: People Analytics: the epicenter of management an...
Anita Zbieg: How to make data actionable? Lessons from the teams on how to tu...
Aizhan Tursunbayeva: The ethics of people analytics: risks, opportunities and...
Kevin Martin: The New Corporate Currency
Catherine Coppinger: Why Anchor Days Are Sinking Productivity & What to Do Ab...
Kevin Martin: Empowering Your Board with the People Analytics That Matter
Aizhan Tursunbayeva: Navigating Opportunities and Risks: A Responsible Approa...
Alan Susi: Organizational Health: A People Team’s path to Minimum Viable ‘Wo...
Cole Napper: Are you ready for generative AI in people analytics?
Fahim Karim: Attrition Prevention
Taras Filatov: Building your own metaverse & NFT app
Alex Poon: Should you gamify community contributions?
Julio Holon: Decentralised colaboration
Startup Presentation: Gaianet
Shawn Grubb: Minnows v. whales: Quadratic Governance to the rescue
Joachim Stroh: Hypha DAO, the 3rd generation of DAOs
Vikram Aditya: Biggest Opportunity Areas in the DAOverse
Tamara Helenius: The Commons are Coming

Recently uploaded (20)

PPTX
Board-Reporting-Package-by-Umbrex-5-23-23.pptx
PDF
How to Get Funding for Your Trucking Business
PDF
Ôn tập tiếng anh trong kinh doanh nâng cao
PDF
Deliverable file - Regulatory guideline analysis.pdf
PDF
Module 2 - Modern Supervison Challenges - Student Resource.pdf
PPTX
Principles of Marketing, Industrial, Consumers,
PPTX
ICG2025_ICG 6th steering committee 30-8-24.pptx
PDF
Stem Cell Market Report | Trends, Growth & Forecast 2025-2034
PDF
Solara Labs: Empowering Health through Innovative Nutraceutical Solutions
PDF
Power and position in leadershipDOC-20250808-WA0011..pdf
PDF
Hindu Circuler Economy - Model (Concept)
PPTX
Business Ethics - An introduction and its overview.pptx
PDF
BsN 7th Sem Course GridNNNNNNNN CCN.pdf
PDF
NISM Series V-A MFD Workbook v December 2024.khhhjtgvwevoypdnew one must use ...
PDF
Tata consultancy services case study shri Sharda college, basrur
PDF
NEW - FEES STRUCTURES (01-july-2024).pdf
PDF
Family Law: The Role of Communication in Mediation (www.kiu.ac.ug)
PDF
NewBase 12 August 2025 Energy News issue - 1812 by Khaled Al Awadi_compresse...
PPT
340036916-American-Literature-Literary-Period-Overview.ppt
PPTX
DMT - Profile Brief About Business .pptx
Board-Reporting-Package-by-Umbrex-5-23-23.pptx
How to Get Funding for Your Trucking Business
Ôn tập tiếng anh trong kinh doanh nâng cao
Deliverable file - Regulatory guideline analysis.pdf
Module 2 - Modern Supervison Challenges - Student Resource.pdf
Principles of Marketing, Industrial, Consumers,
ICG2025_ICG 6th steering committee 30-8-24.pptx
Stem Cell Market Report | Trends, Growth & Forecast 2025-2034
Solara Labs: Empowering Health through Innovative Nutraceutical Solutions
Power and position in leadershipDOC-20250808-WA0011..pdf
Hindu Circuler Economy - Model (Concept)
Business Ethics - An introduction and its overview.pptx
BsN 7th Sem Course GridNNNNNNNN CCN.pdf
NISM Series V-A MFD Workbook v December 2024.khhhjtgvwevoypdnew one must use ...
Tata consultancy services case study shri Sharda college, basrur
NEW - FEES STRUCTURES (01-july-2024).pdf
Family Law: The Role of Communication in Mediation (www.kiu.ac.ug)
NewBase 12 August 2025 Energy News issue - 1812 by Khaled Al Awadi_compresse...
340036916-American-Literature-Literary-Period-Overview.ppt
DMT - Profile Brief About Business .pptx

Jeff Higgins: Using Talent Market Data to Create Workforce Intelligence

  • 1. Using Talent Market Data to Create Workforce Intelligence ©Human Capital Management Institute Tactics, Best Practices and examples
  • 2. ©Human Capital Management Institute 2 ✓ Integrates HR, finance and operations data ✓ Applies AI with 100s of predictive machine learning algorithms ✓ Links workforce analytics to financial and business outcomes ✓ Workforce analytics software (SOLVETM) and services firm ✓ Thought leader in linking human capital to financial results ✓ Cost and value driver insights to optimize workforce spend
  • 3. 3 Jeff Higgins Founder & CEO, HCMI Jeff is a leading expert with 30 years of experience in human capital analytics and workforce planning, key architect of ISO30414, global standard to measure/report workforce, an adjunct professor of people analytics at USC. A former CFO and HR executive, Jeff and his HCMI team are trusted by clients around the world to make smarter data-driven decisions that quantify workforce ROI. Speaker Jeff can be contacted at jeff.higgins@hcminst.com | https://www.hcmi.co
  • 4. Predict & Act - Prescriptive Analytics - Optimization Modeling Source: Gartner Inc. Analytics and Workforce Planning Maturity Model 4 © Human Capital Management Institute The Future is Predictive, Optimized and Prescriptive!
  • 5. © Human Capital Management Institute 5 What External Data do we Need, Why and Where to get it? Industry / Market Data Risk Factors Technology Changes External Statistics Bureau of Labor Statistics Location, Labor Costs HR Workforce Demographics Skill Shortages Market Shifts Off-shoring / Outsourcing Globalization Disasters / Health Crisis
  • 6. 6 What Everyone Thinks of HR Analytics ©Human Capital Management Institute
  • 7. What Can External Talent Data and Tools be Used For 56% of US Citizens think that the country is already in a recession 7 1. MassMutual 2. The U.S. Bureau of Economic Analysis 3. PwC Power dynamics shift back toward employers3 Companies are focused on making sure they’re not just hiring people, but hiring the right people. 83% of CHROs say their companies are considering or have already reduced overall headcount. The decrease in real GDP reflected decreases in private inventory investment, residential fixed investment, federal government spending, and state and local government spending, that were partly offset by increases in exports and consumer spending.2 Q3
  • 8. Example: Quantifying Manager Effectiveness and $ Impact via Talent Management Index 8
  • 9. Example: Using Tools and Data to Quantify Manager Effectiveness 9 Which managers are more effective at managing talent? Manager A Manager B • Exceeds business goals • Hires exp’d employees • No training • High turnover • Low mobility • Mixed performance • Low Engagement • Exceeds business goals • Hires junior employees • Trains the team personally • Low turnover • More transfers/promotions • High employee performance • High engagement
  • 10. © Human Capital Management Institute 10 Audience Question Do you utilize external market data to assess talent demand and supply on a local and regional level? If so what kind of external data?
  • 11. Types of External Talent Market Data 11 ➢ External Job/Talent Demand Data - Near real time from job boards and Data scraping companies ➢ External Talent Supply Data – Where is the most qualified talent by job and geographic area ➢ External Compensation Benchmark Data – • Can be either recent or older benchmarks • Powerful when matched with Talent Supply Data ➢ Country/State/City level Economic Data (i.e. GDP, Inflation Rate, Unemployment, ..) ➢ HR Metric Benchmark Data • Workforce metrics by location/job type (i.e. hiring, Turnover data) ➢ Customized External Data such as Competitor, Workforce Productivity, Culture
  • 12. External Demand Data Example – Top Tech Companies 12 • Sample: Job postings of 41 leading tech companies from each month for the last 3 years • By Company, Location, and Job Use External Competitor Demand Data To… • Predict and Preempt Talent Competition • Identify which roles and locations have the highest demand (Use Job Framework) • Better target recruiting incentives and strategies • Find underutilized talent locations Tech Company Workforce Demand by State Demand by Year and Quarter
  • 13. 13 1. Define business questions/issues 2. Data gathering, validation, cleansing & integration 3. Data Analysis 4. Translate data into actionable insights What People Think about HR Analytics vs. Reality Elements of Good Data Storytelling Tips For Good Data Stories ©Human Capital Management Institute #1 Choose Great Visuals for Content, not the Best Looking #2 Avoid Jargon and Technical Terms #3 Avoid Tunnel Vision and Focus on The Big Picture #4 Show Linkage to Business Impact What Makes A Good Story
  • 14. 14 What Makes A Good Story – Actionable Having “told” a good story is not enough! In our world, every insight and prescription needs to be actionable. Example: You found out that hiring internally leads to more money save and a higher chance of a new hire is a high performer. Actionable: for every position hired internally, the business can save $10,000 per position and have 3 in 5 new hires turning out to be a high performer ©Human Capital Management Institute
  • 15. 15 Example: Cybersecurity Job Demand Analysis By Company – DC Area (Maryland, and Virginia) Demand: CybersecurityAnalyst–428 CybersecurityEngineer–336 CybersecurityManager/Administrator-76 InMay2021,ofallcompetitors,NorthropGrummanhasthehighestnumberofjobdemandpostingsforCybersecurity Analysts Top10Companiesbydemandinalllocations(DCarea–excluding)–Talentcompetitors=IndustryRelated,Other Industries • GeneralDynamics • BoozAllenHamilton • CACI • Raytheon • NorthropGrumman • Peraton • MitreCorp • BAESytems • ManTech • Deloitte TotalJobDemandPostings(Annualized–fortheD.C.Area): CybersecurityAnalyst–15,532 CybersecurityEngineer–10,420 CybersecurityManager/Administrator–2,372
  • 16. 16 Example: Cybersecurity Supply Analysis by State/City DC Area, Ohio, Texas, Florida, California, Illinois ©Human Capital Management Institute BLS Detailed Group – Cybersecurity Analyst Equivalent • Information Security Analysts Cyber Security Example Job Description: Plan, implement, upgrade, or monitor security measures for the protection of computer networks and information. Assess system vulnerabilities for security risks and propose and implement risk mitigation strategies. May ensure appropriate security controls are in place that will safeguard digital files and vital electronic infrastructure. May respond to computer security breaches and viruses. Example Job Titles Information Security Analysts, Information Security Engineers, Information Security Officers, Information Security Specialist, Information Systems Security Analyst, Information Systems Security Officer (ISSO), Information Technology Security Analyst (IT Security Analyst), Information Technology Specialist, Network Security Analyst, Security Analyst, Systems Analyst DC Area = (DC, Virginia and Maryland), Texas, Florida, California, Illinois *Salary includes all levels and years of experience for the group Size of bubble is based on total supply available Labor concentration = Concentration of this type of job relative to other jobs in the area, compared to the national average – see appendix for full equation
  • 17. ©Human Capital Management Institute Cybersecurity Job Supply Demand Analysis by State • As of May 2021, Supply vs demand (employed talent over annualized posting demand) varies from plentiful (Texas, DC) to average (CA, OH) • Virginia and Maryland have the lowest talent supply in relation to Demand, but is balanced when combined with the DC area talent pool • In the combined DC area, for every posting (annualized), there are 2.2 currently employed in similar fields 17 𝑆𝑢𝑝𝑝𝑙𝑦 𝐴𝑛𝑛𝑢𝑎𝑙𝑖𝑧𝑒𝑑 𝐷𝑒𝑚𝑎𝑛𝑑 Ratio Calculation 9,980 (𝑆𝑢𝑝𝑝𝑙𝑦) 10,348(𝐴𝑛𝑛𝑢𝑎𝑙𝑖𝑧𝑒𝑑 𝐷𝑒𝑚𝑎𝑛𝑑) =.96 Example Calculation: - California Rounded to 1.0 in chart provided to the left: – a 1.0 ratio would indicate a highly competitive market for talent. For each job posting (annualized), there is one cybersecurity professional meaning demand is very strong relative to supply. High supply ratios, like 3.9 for Texas, indicates more plentiful talent (3.9 workers for 1 annualized open job i.e. demand). See exact Supply and Demand below:
  • 18. ©Human Capital Management Institute 18 Example: Look at Demand by key Competitors
  • 19. © Human Capital Management Institute 19 Example: Find the Best Cities to Hire for any Given Job Where is the best location to expand or relocate?
  • 20. 20 Example: Find the Best Cities to Hire Software Programmers What to Consider 1. Talent supply 2. Talent demand 3. Average Salary Goals Rank cities by their abundance of talent supply vs. cost ©Human Capital Management Institute
  • 21. 21 VS Tip #1 Choose the Best Chart for Contents, not the Best Looking ©Human Capital Management Institute
  • 22. ©2020 WorldatWork Find the Best Talent at the Best Cost (i.e. what we can afford) This is where to find Programmers for 20% less cost Find Locations with Strong Talent Supply for Critical and High Demand Roles 22
  • 23. © Human Capital Management Institute 23 What critical job roles / groups are: • A large, high cost or high impact group of jobs, typically “Core” to the organization What critical job roles / groups are not: • A single person or unique individual job Both Are Critical Groups: • Sales • Pilots • Sr. Management • Doctors • Flight Attendants • Engineers • Customer Service • Nurses Strategic Critical Operational Critical • Pilots • Doctors • Sr. Management • Nurses • Customer Service • Flight Attendants Strategic Critical Core Non-Core Operational Critical Support Feeder Roles Managers Engineers Sales Traditional Example Strategic Operational Critical Getting Value from External Data – Job Classification and Critical Roles
  • 24. Example Application: Workforce Image Map Visualizing the organization 24 Workforce Image Map The Workforce Image Map (WIM) tool can be utilized to compare the incidence and impact of workforce interventions, analyze workforce categories, model and test alternate scenarios, and ultimately enable fact- based, fair decisions within and across multiple, interdependent variables. Top Use Cases: 1. Top In Demand Jobs 2. Top Labor Supply by Cost 3. Demand and Supply by Location 4. Best Locations for Best Cost 5. Change Rates and Labor Arbitrage Technology Company Demand 2020
  • 25. ©Human Capital Management Institute 25 Buildvs BuyCyberAnalystTalentAnalysis Theoverallcybersecurityjobtalentfacesunprecedentedtalent shortagesthat willworsenovertime, acceleratingthe talent warespeciallyinhighdemandlocationsforthe mostqualifiedandexperienced talent. QuestionsaBuildvsBuyAnalysisHelpsto Answer: • Should buy,buildorcontractto fillcybertalent gaps? • Cost-Benefitofexpandingcyberanalysttrainingviaacademy? • Cost-BenefitofaddedTAstaffvs.increasedhires? • Howto winthe cybertalentwarwithoutjustpayingmore? HypotheticalActionsfromInsights: Whileitisimpossibletoevaluate buildvs.buystrategy optionswithout datathebelowhypothetical scenarioisbaseduponHCMIexperiencewithmultiplepeersandcompetitors. Adopta“TrainingGround,BuildTalent”WorkforceStrategy: • maybeableto fill10%to 33%moreofits’CyberAnalysthiringdemandviaarobustinternaltalent development,trainingandpartnernetwork • Organizationsthat leverageabuildfirst,buysecondstrategy typicallyenjoy10%to 15% lowertotallabor costs • Typicalorganizationsindefense,govt.contractingservicesoftenpromoteslowly,increasingvoluntary turnoverrateandloweremployeeengagement • canfillmanyoutsidehirejobsfasterat lowerexperiencelevelsaswellasimproveretentionsourcing morejuniorstaffandtraining Application Sample: Cyber Analyst Talent Options - Build v Buy v Contract
  • 26. ©Human Capital Management Institute 26 Career path design and quantification model BuildvsBuyCyberAnalystTalentAnalysis • Theoverallcybersecurityjobtalentfacesunprecedentedtalentshortagesthatwillworsenovertime, acceleratingthetalentwarespeciallyinhighdemandlocationsforthemostqualifiedandexperiencedtalent • 2020 overallcybersecurityjobdemandvs.supplytalentgapis870,000 jobsworseningto -2.6 millionjobsby2023 • TheCybersecurityandCyberAnalystjobfamilyfaceanunprecedentedtalentshortageof -164,000increasingto 2020 CyberAnalystdemandvs.supplytalentgapis164,000jobs,worseningto -502,000 jobsby2023 QuestionsaBuildvsBuyAnalysisHelpstoAnswer: • Should buy,buildorcontractto fillcybertalentgaps? • Cost-Benefitofexpandingcyberanalysttrainingviaacademy? • Cost-BenefitofaddedTAstaffvs.increasedhires? • Howto winthecybertalentwarwithoutjustpayingmore? HypotheticalActionsfromInsights: Whileitisimpossibletoevaluate buildvs.buystrategyoptionswithout datathebelowhypotheticalscenarioisbased uponHCMIexperiencewithmultiplepeersandcompetitors. Adopta“TrainingGroundBuildTalent”strategy • maybeableto fill10%to 33%moreofits’CyberAnalysthiringdemandviaarobustinternaltalentdevelopment, trainingandpartnernetwork • Organizationsthatleverageabuildfirst,buysecondstrategytypicallyenjoy10%to15% lowertotal laborcosts • Typicalorganizationsindefense,govt.contractingservicesoftenpromoteslowly,increasingvoluntaryturnover rateandloweremployeeengagement • canfillmanyoutsidehirejobsfasteratlowerexperiencelevelsaswellasimproveretentionsourcingmorejunior staffandtraining Application Sample: Cyber Analyst Talent Options - Build v Buy v Contract
  • 27. Human Capital Management Institute Jeff Higgins, CEO Jeff.higgins@hcminst.com www.hcmi.co Thank you! 27 ©Human Capital Management Institute