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Analytics Talent
February 13, 2013
Robert Morison
IIA Faculty Member
Noted Analytics Author & Expert
3 | 2013 © IIA All Rights Reserved.
“By 2018, the United States alone could face a shortage of 140,000
to 190,000 people with deep analytical skills as well as 1.5 million
managers and analysts with the know-how to use the analysis of
big data to make effective decisions.”
– McKinsey Global Institute, May 2011
 Business and technology services companies are hiring as many
analytics professionals as they can get their hands on.
 Even organizations with exciting analytical challenges and
opportunities cannot attract all the talent they need.
Problem #1: Shortage of Analyst Talent
Therefore: Be flexible and creative in sourcing talent
4 | 2013 © IIA All Rights Reserved.
Professionals
Statisticians, model
builders, data scientists
Semi-Pros
Quantitatively oriented business
analysts, problem-
solvers, advisors
Amateurs
Analytically oriented and capable
business people
15-20%
70-80%
What Talent Do You Need In-House?
5-10%
5 | 2013 © IIA All Rights Reserved.
1 Hire through referrals, universities/internships, specialist
recruiters, professional organizations, selective poaching
2 Develop staff with cognitive skills and prototyping ability, and
train them in the technology
3 Contract for “professionals” as needed from vendors, services
firms, university programs
4 Connect with other quantitatively oriented business
improvement groups (such as Six Sigma)
Four-Part Sourcing Strategy
Remember: Important and challenging work is your
best sourcing tool
6 | 2013 © IIA All Rights Reserved.
Aggregate Spec for a “Data Scientist”
Half analyst – with statistics, modeling, and experimentation skills
Half data miner – with extracting, filtering, sampling and structuring
skills
Half programmer – using the latest tools and techniques
Half communicator – able to frame questions and present analyses
with both visuals and narratives
Doesn’t add up in many mere mortals . . . .
Problem #2: Variety of Deep Skills Needed
Therefore: Form breadth-and-depth analytics teams
7 | 2013 © IIA All Rights Reserved.
Programmers
Generalists
Data Preparers
Managers
Effective Teams: Activity Clusters Define Roles
Source: 2102 Analytics Professionals Study, Talent Analytics Corp. and IIA
8 | 2013 © IIA All Rights Reserved.
25% Data – clean, gather, combine
10% Stakeholders – converse, gather hypotheses
15% Analysis – low because they import specialists
20% Storytelling – results on a slide, with financial implications
20% Implementation – deploying, training, managing change
10% Embedment – monitor and adjust as necessary
Effective Teams: Recipe for HR Analytics
Teams at Sears
Remember: Also build your community of analysts
across the enterprise
9 | 2013 © IIA All Rights Reserved.
Not a formula for success:
Business opportunities abound
Awareness of analytics’ potential grows
Demand growth outpaces supply growth
Targeting and prioritization are rudimentary and fragmented
Demand is uneducated and immature
Analysts spend too much time generating reports
Problem #3: Variable and Growing Demand
Therefore: Cultivate and manage demand as well as supply
10 | 2013 © IIA All Rights Reserved.
Demand Supply
Quality
2 1
3
1 Increase supply
 Headcount/development/outsourcing
 Methods, including reuse
 Technological tools, vendor solutions
 Partnering with likeminded groups
2 Manage demand
 Self-service
 Prioritization
 Negotiate demand level
 Negotiate information sufficiency
3 Increase demand quality
 Executive education
 Portfolio management
 Consult on demand quality and value
 Suggest/present business opportunities
Supply-Demand Management
Source: Analytics at Work
11 | 2013 © IIA All Rights Reserved.
Technical
Analytics
Successful
Analytics
Analytical
Organization
Remember: Get ready for the point where demand accelerates
Cultivate Consumption as well as Supply
12 | 2013 © IIA All Rights Reserved.
Problem Necessity Remember
Talent shortage Flexible sourcing Challenging work
Skills variety Smart teaming Analyst
community
Immature
demand
Cultivate and
manage demand
Anticipate growth
Review and Resources
IIA Briefs:
• The Human Side of Big Data and High-Performance
Analytics
• Quantifying Analytical Talent
• Organizing Analysts (2 parts)
• Analytics in the HR Function at Sears Holdings Corporation
Research Client Access Points
Written Research: Access to searchable online database of written
research on enterprise topics
Phone-based Discussions: Monthly phone briefings on selected
topics chosen by member organizations
Live Events: Annual member event (June, 2013); bi-annual
industry events ; periodic local gatherings
Dynamic Inquiry: ability to submit research inquires online or by
phone; answered by faculty or peers
Benchmarking: Assessment of member organizations against
analytics maturity frameworks and peer companies
13 | 2013 © IIA All Rights Reserved.
Mark Your Calendar
14 | 2013 © IIA All Rights Reserved.
Join IIA for our next webcast…
When: March 13th…
What: Is Your Organization Embracing Analytics for Better Business
Outcomes?
Who: Lead by: Mike Lampa, IIA Faculty
How: Register at iianalytics.com or
https://cc.readytalk.com/r/8k8cqznhc58b
Interested in joining?
Toby Espinosa
tespinosa@iianalytics.com

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Analytics Talent - How to Attract, Retain, and Leverage Analytic Talent

  • 1.
  • 2. Analytics Talent February 13, 2013 Robert Morison IIA Faculty Member Noted Analytics Author & Expert
  • 3. 3 | 2013 © IIA All Rights Reserved. “By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.” – McKinsey Global Institute, May 2011  Business and technology services companies are hiring as many analytics professionals as they can get their hands on.  Even organizations with exciting analytical challenges and opportunities cannot attract all the talent they need. Problem #1: Shortage of Analyst Talent Therefore: Be flexible and creative in sourcing talent
  • 4. 4 | 2013 © IIA All Rights Reserved. Professionals Statisticians, model builders, data scientists Semi-Pros Quantitatively oriented business analysts, problem- solvers, advisors Amateurs Analytically oriented and capable business people 15-20% 70-80% What Talent Do You Need In-House? 5-10%
  • 5. 5 | 2013 © IIA All Rights Reserved. 1 Hire through referrals, universities/internships, specialist recruiters, professional organizations, selective poaching 2 Develop staff with cognitive skills and prototyping ability, and train them in the technology 3 Contract for “professionals” as needed from vendors, services firms, university programs 4 Connect with other quantitatively oriented business improvement groups (such as Six Sigma) Four-Part Sourcing Strategy Remember: Important and challenging work is your best sourcing tool
  • 6. 6 | 2013 © IIA All Rights Reserved. Aggregate Spec for a “Data Scientist” Half analyst – with statistics, modeling, and experimentation skills Half data miner – with extracting, filtering, sampling and structuring skills Half programmer – using the latest tools and techniques Half communicator – able to frame questions and present analyses with both visuals and narratives Doesn’t add up in many mere mortals . . . . Problem #2: Variety of Deep Skills Needed Therefore: Form breadth-and-depth analytics teams
  • 7. 7 | 2013 © IIA All Rights Reserved. Programmers Generalists Data Preparers Managers Effective Teams: Activity Clusters Define Roles Source: 2102 Analytics Professionals Study, Talent Analytics Corp. and IIA
  • 8. 8 | 2013 © IIA All Rights Reserved. 25% Data – clean, gather, combine 10% Stakeholders – converse, gather hypotheses 15% Analysis – low because they import specialists 20% Storytelling – results on a slide, with financial implications 20% Implementation – deploying, training, managing change 10% Embedment – monitor and adjust as necessary Effective Teams: Recipe for HR Analytics Teams at Sears Remember: Also build your community of analysts across the enterprise
  • 9. 9 | 2013 © IIA All Rights Reserved. Not a formula for success: Business opportunities abound Awareness of analytics’ potential grows Demand growth outpaces supply growth Targeting and prioritization are rudimentary and fragmented Demand is uneducated and immature Analysts spend too much time generating reports Problem #3: Variable and Growing Demand Therefore: Cultivate and manage demand as well as supply
  • 10. 10 | 2013 © IIA All Rights Reserved. Demand Supply Quality 2 1 3 1 Increase supply  Headcount/development/outsourcing  Methods, including reuse  Technological tools, vendor solutions  Partnering with likeminded groups 2 Manage demand  Self-service  Prioritization  Negotiate demand level  Negotiate information sufficiency 3 Increase demand quality  Executive education  Portfolio management  Consult on demand quality and value  Suggest/present business opportunities Supply-Demand Management Source: Analytics at Work
  • 11. 11 | 2013 © IIA All Rights Reserved. Technical Analytics Successful Analytics Analytical Organization Remember: Get ready for the point where demand accelerates Cultivate Consumption as well as Supply
  • 12. 12 | 2013 © IIA All Rights Reserved. Problem Necessity Remember Talent shortage Flexible sourcing Challenging work Skills variety Smart teaming Analyst community Immature demand Cultivate and manage demand Anticipate growth Review and Resources IIA Briefs: • The Human Side of Big Data and High-Performance Analytics • Quantifying Analytical Talent • Organizing Analysts (2 parts) • Analytics in the HR Function at Sears Holdings Corporation
  • 13. Research Client Access Points Written Research: Access to searchable online database of written research on enterprise topics Phone-based Discussions: Monthly phone briefings on selected topics chosen by member organizations Live Events: Annual member event (June, 2013); bi-annual industry events ; periodic local gatherings Dynamic Inquiry: ability to submit research inquires online or by phone; answered by faculty or peers Benchmarking: Assessment of member organizations against analytics maturity frameworks and peer companies 13 | 2013 © IIA All Rights Reserved.
  • 14. Mark Your Calendar 14 | 2013 © IIA All Rights Reserved. Join IIA for our next webcast… When: March 13th… What: Is Your Organization Embracing Analytics for Better Business Outcomes? Who: Lead by: Mike Lampa, IIA Faculty How: Register at iianalytics.com or https://cc.readytalk.com/r/8k8cqznhc58b
  • 15. Interested in joining? Toby Espinosa tespinosa@iianalytics.com