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Analytics: HR’s Next Big Idea
The ROI of Human Capital

Presented by:
Dr. Jac Fitz-enz       Jeff Quinn
Founder & CEO          Senior Director of Research
Human Capital Source   Monster.com

                                                     Sponsored By:

June 16, 2010
TODAY’S OBJECTIVE
 Discover the New Model of Human Capital
Management and How it Drives Organizational
      Management (and Profitability)
THE             BIG     HC QUESTIONS

 How do we uncover our true human capital costs?
 How do we build a reliable talent supply chain?
 How do we attract and retain mission-critical capabilities?
 How do we convert data into business intelligence?
 How do we sustain employee engagement?
 How do we predict effects of investments?




 © 2010, Jac Fitz-enz      Sao Paulo, May 24, 2010   3
Action Analysis

                        How Do You Know Where, How


                and How Much                                to Invest


                  to Solve a                             Major Problem


                       or Exploit a Great Opportunity?


© 2010, Jac Fitz-enz           Sao Paulo, May 24, 2010     4
Business Models



                                       Finance
                                       (GAAP)


    Manufacturing                                    Marketing
       (MRP)                                          (CSM)


                                         HR
                                       (BUSY)
© 2010, Jac Fitz-enz   Sao Paulo, May 24, 2010   5
Resource: Predictive Analytics
                          FIRST: A Framework / Model




                         Logical Questioning System to
                       Analyze Current and Historical Data
                            and Enable Predictability



© 2010, Jac Fitz-enz           Sao Paulo, May 24, 2010   6   6
HCM:21 Predictive Management


                        1. SCAN                              2. PLAN
                       Structural                          Capabilities
                       Relational                          Development
                         Human                             Engagement




                       4. PREDICT                          3. PRODUCE
                         Strategic                          Staff – Pay
                       Operational                        Develop – Retain
                         Leading

© 2010, Jac Fitz-enz            Sao Paulo, May 24, 2010
                                                                 7
Predictive analytics

                               SECOND: ENABLERS
                               Statistics and Data Mining:
                                Find Patterns in Historical and
                                 Transactional Data
                                Identify Risks & Opportunities
                                 Guide Future Investment

                                Decision Making



© 2010, Jac Fitz-enz   Sao Paulo, May 24, 2010     8               8
Strategic Scan




© 2010, Jac Fitz-enz   Sao Paulo, May 24, 2010   9
Planning: Risk Management

 Which are our mission
  critical capabilities?
 How strong is our bench in
   each of these?
 What is the growth potential
   of the incumbents?
 How vulnerable are they to
  being hired away?
 What will be the impact
   when these are vacant?

© 2010, Jac Fitz-enz    Sao Paulo, May 24, 2010   10
WORKFORCE CAPABILITY PLANNING
         Industrial Era, Supply-Demand, Gap Analysis




                       CAPABILITY PROGRAM
                         Building Capabilities




© 2010, Jac Fitz-enz       Sao Paulo, May 24, 2010   11
Competencies & Capabilities
Competencies for Today                                           Capabilities for Tomorrow
Skills: technical and interpersonal                          Skills: technical and interpersonal
Knowledge: technical and behavioral                          Knowledge: technical and behavioral
Motivation: willingness to work                              Motivation: willingness to work
Commitment: belief in the company                            Commitment: belief in the company
Engagement: emotional involvement                            Engagement: emotional involvement
Creativity: ability to innovate                              Creativity: ability to innovate
Potential: ability to grow                                   Potential: ability to grow
Flexibility: deal with change                                Flexibility: deal with change
Leading: bring out the best                                  Leading: bring out the best


              HOW WILL THEY DIFFER? . . . IF YOU SHIFT FROM . . .
 Metal to Composites - Chemistry to Electronics - Analog to Digital

                               IF CHANGE COMES FROM . . .
                       Competition – Economics – Labor Demographics

© 2010, Jac Fitz-enz               Sao Paulo, May 24, 2010            12
Shifting Measurement Focus
                        FROM LAGGING:
                       Counting Yesterday’s
                        Operating Results


                 TO LEADING:
         Managing Tomorrow’s Predictors
            Leadership, Engagement,
           Readiness, Culture, Brand


              TO STRATEGIC:
           Making Human, Process,
       Customer & Financial Connections

© 2010, Jac Fitz-enz            Sao Paulo, May 24, 2010   13   13
Performance Connections
                                            STRATEGIC
                               Labor Cost - Productivity - Attrition
                            Customer Attraction - Conversion - Spend
                             Process Efficiency - Operating Margins
                             Profitability - Mission Accomplishment



                       HR Operations                               Leading
           Process Costs - Cycle Times                       Readiness - Leadership
           Service Quantity & Quality                        Engagement - MC Retention
           Employee Productivity                             L & D Investment - Culture




© 2010, Jac Fitz-enz               Sao Paulo, May 24, 2010           14                   14
Board Report
                  Revenue Per                               Total Human
              Full Time Equivalent                          Capital Spend




                Human Capital ROI                         Compensation as a
                  R – (E-C) / C                           Percent of Revenue



                       L&D                                 Mission Critical
                  Investment / ROI                            Turnover



© 2010, Jac Fitz-enz            Sao Paulo, May 24, 2010       15
Case: A Corporate Transformation

COMPANY:               Successful, multinational, engineering
SIZE:                  35,000 employees
OBJECTIVE:             Clarify vision and mission
                       Discuss real and perceived problems
                       Improve communication
                       Review goals and objectives
                       Improve divisional leadership
                       Develop managers
TIME LINE:             NOW!
PROCESS:               Predictive Management
INVOLVEMENT:           44 senior managers initially



© 2010, Jac Fitz-enz          Sao Paulo, May 24, 2010   16
What The Client Said
(IN JUST 6 MONTHS)

“We successfully implemented our management evaluation program
through which we identified our high potential employees. We
developed their career paths and identified their training and
development needs. We were also able to identify potential
successors and now we are working on their development needs.
The best thing we achieved after the session was change in mindset
of our business area heads.”

                       Head - Human Resources


© 2010, Jac Fitz-enz    Sao Paulo, May 24, 2010   17
The New Game

Tomorrow versus Yesterday



Predict versus Monitor



Business Results versus HR Functions


© 2010, Jac Fitz-enz   Sao Paulo, May 24, 2010   18
Using Analytics
•   Enterprise Holdings, through its subsidiaries, owns and operates more than
    1 million cars and trucks, the largest fleet of passenger vehicles in the
    world today, under the Alamo Rent A Car, Enterprise Rent-A-Car and
    National Car Rental brands.
•   The company is run by chairman and CEO Andrew Taylor, whose father,
    Jack Taylor, founded the Enterprise Rent-A-Car in 1957 on the simple
    philosophy. "Take care of your customers and employees first, and profits
    will follow."
•   Enterprise’s business model is a direct result of Jack Taylor's simple, but
    powerful, belief and of how that belief relates to customer satisfaction,
    employee development, fleet growth, and profitability.




                                                              20
Enterprise Business Situation
1. Approached Monster to help in the decision process of where
   to locate a new customer contact center
2. Enterprise had considered dozens of various locations, and
   believed that by using Monster’s real-time labor market
   information, it could help determine the most effective city to
   locate the new contact center




                                                              21
The Framework
1. Identify business need and capabilities required
Monster proposed a multi-pronged analytical framework that included the
following steps, which can be applied to any business situation that involves
staff site selection



Analytical Framework:

•   Projected occupational growth
•   Typical candidate profiles for this occupation
•   Sector-specific information that impacts hiring (e.g., increased outsourcing,
    technology advances, generational makeup of the workforce, etc.)




                                                             23
2. Develop a short list of possible site locations
    Qualitative and quantitative factors will be analyzed:

    A short list of locations can also be created by identifying quantitative factors
    for each location and then sorting a large list of locations on those factors


QUALITATIVE Factors Include:                               QUANTITATIVE Factors Include:

•     The location of current company facilities/offices   •   Unemployment rate

•     Locations that provide the company with a            •   Payroll change
      competitive or business development advantage
                                                           •   Rate of economic growth
•     Ease and/or cost of site location
                                                           •   Concentration of desired occupations in
•     Company culture fit with a location                      each market

•     Infrastructure (e.g., universities, public           •   Typical annual salary of desired occupation
      transportation, commercial real-estate, airports)

•     Local business and economic development
      incentives




                                                                           24
3. Evaluate the Talent Pool

After 3-6 locations have been selected for consideration, the first step is to evaluate
and compare the talent pool across locations.


Supply:

•   Calculate the talent density
•   Compare a national and local job search index
•   Understand the talent profile for each location

Demand:

•   Evaluate posting trends
•   Calculate the Talent Demand Index for each occupation
•   looking at supply versus demand for each of the markets



                                                                25
4. Analyze the economic situation

The following should be included in each market summary:


•   Unemployment and payroll trends
•   Major industries and employers of the region
•   Rate of economic growth or decline in the market
•   Basic demographics of the workforce
•   Economic incentives for companies to locate in the region
•   Cost of facilities/office space in the market




                                                           26
5. Identify the competition

Evaluate potential competitors in various ways:


•   Use job posting trends to identify your close competitors’ presence
    and recruitment activities in each location being considered
•   Identify which industries hire the most for the occupation your
    company will recruit
•   Identify and profile top companies in each location being considered




                                                             27
Client Analysis
1. Identifying The Business Need | Where do we start




     10,000
   Calls/Day




                                        29
2. Develop List of Site Locations | Client selected (4) sites




   Market A
   Market B
   Market C
   Market D




                                            30
2. Develop List of Site Locations | Picking the Location


            Top 5 Job Seeker Locations within Customer Service, %
                             Change in Resumes

                Ft. Myers-Naples                                69%

        Colorado Springs-Pueblo                              63%

     Orlando-Daytona Bch-Melbrn               29%

       Mobile-Pensacola (Ft Walt)            26%

                   New Orleans               26%

                                0%   10% 20% 30% 40% 50% 60% 70% 80%




                                                      31
3. Evaluating the Supply & Demand | Supply


                                Market A




Source: Monster internal data
                                           32
3. Evaluating the Supply & Demand | Supply
                                             Locations with the Highest Resumes per
                                           Posting within Customer Service & Call Center
 • Monster ranked over 200 markets         Top 20 U.S. Markets                   Rank
   based upon the number of resumes        Waco-Temple-Bryan, TX                   1
                                           Flint-Saginaw-Bay City, MI              2
   per job posting                         Toledo, OH                              3
                                           Detroit, MI                             4
 • Additional analyses was conducted on    Tallahassee-Thomasville, FL             5
                                           South Bend-Elkhart, IN                  6
   the top 20 locations with the highest   Huntsville-Decatur (Florence), AL       7
   resumes per job posting within          Wichita-Hutchinson Plus, KS             8
                                           Atlanta, GA                             9
   customer service and call centers       Shreveport, LA                         10
                                           Greenville-N.Bern-Washngtn, NC         11
                                           Columbia, SC                           12
                                           Jackson, MS                            13
                                           Colorado Springs-Pueblo, CO            14
                                           Charlotte, NC                          15
                                           Augusta, GA                            16
                                           Florence-Myrtle Beach, SC              17
                                           Evansville, IN                         18
                                           Savannah, GA                           19
                                           Omaha, NE                              20




Source: Monster internal data, 2007
                                                                33
Market A


                          3. Evaluating the Supply
                          & Demand | Demand




                                       Market A




Market (A) Analysis




                                  34
4. Economic Conditions | Call Center Employment

• As an industry, dedicated call
  centers had experienced a
  dip in employment over the
  past 10 years
• By the end of 2004, there
  were approximately 2.1
  million customer service
  representatives employed in
  the U.S. which was 1.5% of
  the overall workforce.
• Projected employment growth
  between 2004 and 2014 for
  the customer service
  occupation was 23 percent,
  greater than the average of
  all occupations



Source: Call Center Employment, 1997-2007 (source: BLS.gov)
                                                              35
4. Economic Conditions | Payroll and Unemployment

                                             Market A metropolitan area
                                          jobless rate had decreased to 4.7
                                          percent in May (2007), down from
                                              5.1 percent a year earlier




   Payroll in Market A grew 1.1 percent
   year over year in May (2007), slower
         than the U.S. as a whole




Source: BLS.gov
                                                      36
5. Competition | Who are the players


1. Monster identified companies who had existing call centers or were in the
   process of opening up such facilities within the considered markets
    a. For example, the Market E and Market F markets (within 50 miles of the Market
       D location under consideration) had become home to over 200 new customer
       service centers

2. The competition and cost for talent in these markets were much higher
   than in other markets and was a key influencer in Enterprise’s final
   decision
3. The favorable competitive situation in Market A, combined with many other
   factors, provided support for the recommendation that the client select
   Market A as the location for its new customer service center




                                                              37
In summary . . .
• Enterprise selected Market A for its contact center

• Enterprise chose Market A for several reasons, including strong labor supply relative to demand

• Enterprise also found Market A to be a good site for the contact center because of its
  proximity to a university, which provides for a consistent source of educated and skilled
  employees who are flexible with their schedules and in need of part-time opportunities

      “The workforce here is great," said a local contact center director, "We're so lucky to be in a city
        where we have access to a skilled, educated workforce.”




    The Contact center began taking calls for Enterprise in April 2008. Employees at the new center now handle more than
    10,000 reservations and customer service calls a day for Enterprise, National and Alamo
    The performance of the contact center has been outstanding, with high customer resolution rates and high employee
    and customer satisfaction. The care and diligence Enterprise exercised in analyzing all of the factors during the process
    of selecting a site for its new contact center led to a successful site implementation and a desirable business outcome




                                                                                            38
Thank You & Questions
FREE Resource Center: www.humancapitalsource.com

Papers: Workforce and Succession Planning
        Leadership - Retention - Outsourcing
        Predictive Management - Rebranding HR
        Metrics and Analytics Cases (FutureThought series)

Commentaries and Blogs

Books:   12 on HR Strategy and Measurement
         May 2010: The New HR Analytics

                      source@netgate.net
                       408 223 7750


                                              39

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Analytics: HR's Next Big Idea

  • 1. Analytics: HR’s Next Big Idea The ROI of Human Capital Presented by: Dr. Jac Fitz-enz Jeff Quinn Founder & CEO Senior Director of Research Human Capital Source Monster.com Sponsored By: June 16, 2010
  • 2. TODAY’S OBJECTIVE Discover the New Model of Human Capital Management and How it Drives Organizational Management (and Profitability)
  • 3. THE BIG HC QUESTIONS  How do we uncover our true human capital costs?  How do we build a reliable talent supply chain?  How do we attract and retain mission-critical capabilities?  How do we convert data into business intelligence?  How do we sustain employee engagement?  How do we predict effects of investments? © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 3
  • 4. Action Analysis How Do You Know Where, How and How Much to Invest to Solve a Major Problem or Exploit a Great Opportunity? © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 4
  • 5. Business Models Finance (GAAP) Manufacturing Marketing (MRP) (CSM) HR (BUSY) © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 5
  • 6. Resource: Predictive Analytics FIRST: A Framework / Model Logical Questioning System to Analyze Current and Historical Data and Enable Predictability © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 6 6
  • 7. HCM:21 Predictive Management 1. SCAN 2. PLAN Structural Capabilities Relational Development Human Engagement 4. PREDICT 3. PRODUCE Strategic Staff – Pay Operational Develop – Retain Leading © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 7
  • 8. Predictive analytics SECOND: ENABLERS Statistics and Data Mining:  Find Patterns in Historical and Transactional Data  Identify Risks & Opportunities Guide Future Investment  Decision Making © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 8 8
  • 9. Strategic Scan © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 9
  • 10. Planning: Risk Management  Which are our mission critical capabilities?  How strong is our bench in each of these?  What is the growth potential of the incumbents?  How vulnerable are they to being hired away?  What will be the impact when these are vacant? © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 10
  • 11. WORKFORCE CAPABILITY PLANNING Industrial Era, Supply-Demand, Gap Analysis CAPABILITY PROGRAM Building Capabilities © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 11
  • 12. Competencies & Capabilities Competencies for Today Capabilities for Tomorrow Skills: technical and interpersonal Skills: technical and interpersonal Knowledge: technical and behavioral Knowledge: technical and behavioral Motivation: willingness to work Motivation: willingness to work Commitment: belief in the company Commitment: belief in the company Engagement: emotional involvement Engagement: emotional involvement Creativity: ability to innovate Creativity: ability to innovate Potential: ability to grow Potential: ability to grow Flexibility: deal with change Flexibility: deal with change Leading: bring out the best Leading: bring out the best HOW WILL THEY DIFFER? . . . IF YOU SHIFT FROM . . . Metal to Composites - Chemistry to Electronics - Analog to Digital IF CHANGE COMES FROM . . . Competition – Economics – Labor Demographics © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 12
  • 13. Shifting Measurement Focus FROM LAGGING: Counting Yesterday’s Operating Results TO LEADING: Managing Tomorrow’s Predictors Leadership, Engagement, Readiness, Culture, Brand TO STRATEGIC: Making Human, Process, Customer & Financial Connections © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 13 13
  • 14. Performance Connections STRATEGIC Labor Cost - Productivity - Attrition Customer Attraction - Conversion - Spend Process Efficiency - Operating Margins Profitability - Mission Accomplishment HR Operations Leading Process Costs - Cycle Times Readiness - Leadership Service Quantity & Quality Engagement - MC Retention Employee Productivity L & D Investment - Culture © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 14 14
  • 15. Board Report Revenue Per Total Human Full Time Equivalent Capital Spend Human Capital ROI Compensation as a R – (E-C) / C Percent of Revenue L&D Mission Critical Investment / ROI Turnover © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 15
  • 16. Case: A Corporate Transformation COMPANY: Successful, multinational, engineering SIZE: 35,000 employees OBJECTIVE: Clarify vision and mission Discuss real and perceived problems Improve communication Review goals and objectives Improve divisional leadership Develop managers TIME LINE: NOW! PROCESS: Predictive Management INVOLVEMENT: 44 senior managers initially © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 16
  • 17. What The Client Said (IN JUST 6 MONTHS) “We successfully implemented our management evaluation program through which we identified our high potential employees. We developed their career paths and identified their training and development needs. We were also able to identify potential successors and now we are working on their development needs. The best thing we achieved after the session was change in mindset of our business area heads.” Head - Human Resources © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 17
  • 18. The New Game Tomorrow versus Yesterday Predict versus Monitor Business Results versus HR Functions © 2010, Jac Fitz-enz Sao Paulo, May 24, 2010 18
  • 20. Enterprise Holdings, through its subsidiaries, owns and operates more than 1 million cars and trucks, the largest fleet of passenger vehicles in the world today, under the Alamo Rent A Car, Enterprise Rent-A-Car and National Car Rental brands. • The company is run by chairman and CEO Andrew Taylor, whose father, Jack Taylor, founded the Enterprise Rent-A-Car in 1957 on the simple philosophy. "Take care of your customers and employees first, and profits will follow." • Enterprise’s business model is a direct result of Jack Taylor's simple, but powerful, belief and of how that belief relates to customer satisfaction, employee development, fleet growth, and profitability. 20
  • 21. Enterprise Business Situation 1. Approached Monster to help in the decision process of where to locate a new customer contact center 2. Enterprise had considered dozens of various locations, and believed that by using Monster’s real-time labor market information, it could help determine the most effective city to locate the new contact center 21
  • 23. 1. Identify business need and capabilities required Monster proposed a multi-pronged analytical framework that included the following steps, which can be applied to any business situation that involves staff site selection Analytical Framework: • Projected occupational growth • Typical candidate profiles for this occupation • Sector-specific information that impacts hiring (e.g., increased outsourcing, technology advances, generational makeup of the workforce, etc.) 23
  • 24. 2. Develop a short list of possible site locations Qualitative and quantitative factors will be analyzed: A short list of locations can also be created by identifying quantitative factors for each location and then sorting a large list of locations on those factors QUALITATIVE Factors Include: QUANTITATIVE Factors Include: • The location of current company facilities/offices • Unemployment rate • Locations that provide the company with a • Payroll change competitive or business development advantage • Rate of economic growth • Ease and/or cost of site location • Concentration of desired occupations in • Company culture fit with a location each market • Infrastructure (e.g., universities, public • Typical annual salary of desired occupation transportation, commercial real-estate, airports) • Local business and economic development incentives 24
  • 25. 3. Evaluate the Talent Pool After 3-6 locations have been selected for consideration, the first step is to evaluate and compare the talent pool across locations. Supply: • Calculate the talent density • Compare a national and local job search index • Understand the talent profile for each location Demand: • Evaluate posting trends • Calculate the Talent Demand Index for each occupation • looking at supply versus demand for each of the markets 25
  • 26. 4. Analyze the economic situation The following should be included in each market summary: • Unemployment and payroll trends • Major industries and employers of the region • Rate of economic growth or decline in the market • Basic demographics of the workforce • Economic incentives for companies to locate in the region • Cost of facilities/office space in the market 26
  • 27. 5. Identify the competition Evaluate potential competitors in various ways: • Use job posting trends to identify your close competitors’ presence and recruitment activities in each location being considered • Identify which industries hire the most for the occupation your company will recruit • Identify and profile top companies in each location being considered 27
  • 29. 1. Identifying The Business Need | Where do we start 10,000 Calls/Day 29
  • 30. 2. Develop List of Site Locations | Client selected (4) sites Market A Market B Market C Market D 30
  • 31. 2. Develop List of Site Locations | Picking the Location Top 5 Job Seeker Locations within Customer Service, % Change in Resumes Ft. Myers-Naples 69% Colorado Springs-Pueblo 63% Orlando-Daytona Bch-Melbrn 29% Mobile-Pensacola (Ft Walt) 26% New Orleans 26% 0% 10% 20% 30% 40% 50% 60% 70% 80% 31
  • 32. 3. Evaluating the Supply & Demand | Supply Market A Source: Monster internal data 32
  • 33. 3. Evaluating the Supply & Demand | Supply Locations with the Highest Resumes per Posting within Customer Service & Call Center • Monster ranked over 200 markets Top 20 U.S. Markets Rank based upon the number of resumes Waco-Temple-Bryan, TX 1 Flint-Saginaw-Bay City, MI 2 per job posting Toledo, OH 3 Detroit, MI 4 • Additional analyses was conducted on Tallahassee-Thomasville, FL 5 South Bend-Elkhart, IN 6 the top 20 locations with the highest Huntsville-Decatur (Florence), AL 7 resumes per job posting within Wichita-Hutchinson Plus, KS 8 Atlanta, GA 9 customer service and call centers Shreveport, LA 10 Greenville-N.Bern-Washngtn, NC 11 Columbia, SC 12 Jackson, MS 13 Colorado Springs-Pueblo, CO 14 Charlotte, NC 15 Augusta, GA 16 Florence-Myrtle Beach, SC 17 Evansville, IN 18 Savannah, GA 19 Omaha, NE 20 Source: Monster internal data, 2007 33
  • 34. Market A 3. Evaluating the Supply & Demand | Demand Market A Market (A) Analysis 34
  • 35. 4. Economic Conditions | Call Center Employment • As an industry, dedicated call centers had experienced a dip in employment over the past 10 years • By the end of 2004, there were approximately 2.1 million customer service representatives employed in the U.S. which was 1.5% of the overall workforce. • Projected employment growth between 2004 and 2014 for the customer service occupation was 23 percent, greater than the average of all occupations Source: Call Center Employment, 1997-2007 (source: BLS.gov) 35
  • 36. 4. Economic Conditions | Payroll and Unemployment Market A metropolitan area jobless rate had decreased to 4.7 percent in May (2007), down from 5.1 percent a year earlier Payroll in Market A grew 1.1 percent year over year in May (2007), slower than the U.S. as a whole Source: BLS.gov 36
  • 37. 5. Competition | Who are the players 1. Monster identified companies who had existing call centers or were in the process of opening up such facilities within the considered markets a. For example, the Market E and Market F markets (within 50 miles of the Market D location under consideration) had become home to over 200 new customer service centers 2. The competition and cost for talent in these markets were much higher than in other markets and was a key influencer in Enterprise’s final decision 3. The favorable competitive situation in Market A, combined with many other factors, provided support for the recommendation that the client select Market A as the location for its new customer service center 37
  • 38. In summary . . . • Enterprise selected Market A for its contact center • Enterprise chose Market A for several reasons, including strong labor supply relative to demand • Enterprise also found Market A to be a good site for the contact center because of its proximity to a university, which provides for a consistent source of educated and skilled employees who are flexible with their schedules and in need of part-time opportunities  “The workforce here is great," said a local contact center director, "We're so lucky to be in a city where we have access to a skilled, educated workforce.” The Contact center began taking calls for Enterprise in April 2008. Employees at the new center now handle more than 10,000 reservations and customer service calls a day for Enterprise, National and Alamo The performance of the contact center has been outstanding, with high customer resolution rates and high employee and customer satisfaction. The care and diligence Enterprise exercised in analyzing all of the factors during the process of selecting a site for its new contact center led to a successful site implementation and a desirable business outcome 38
  • 39. Thank You & Questions FREE Resource Center: www.humancapitalsource.com Papers: Workforce and Succession Planning Leadership - Retention - Outsourcing Predictive Management - Rebranding HR Metrics and Analytics Cases (FutureThought series) Commentaries and Blogs Books: 12 on HR Strategy and Measurement May 2010: The New HR Analytics source@netgate.net 408 223 7750 39