Weitere ähnliche Inhalte Kürzlich hochgeladen (20) Analytics Talent - How to Attract, Retain, and Leverage Analytic Talent3. 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
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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%
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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
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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
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Programmers
Generalists
Data Preparers
Managers
Effective Teams: Activity Clusters Define Roles
Source: 2102 Analytics Professionals Study, Talent Analytics Corp. and IIA
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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
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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
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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
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Technical
Analytics
Successful
Analytics
Analytical
Organization
Remember: Get ready for the point where demand accelerates
Cultivate Consumption as well as Supply
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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
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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