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Analytics and O.R. in the US: Making the Connection
Don N. Kleinmuntz, Ph.D.Principal, Kleinmuntz Associates LLC
President, INFORMS Section on Analytics
Developments in Advanced Analytics and Big Data 2014London, 30 April 2014
Analytics
“The scientific process of transforming data into insight for
making better decisions”
As defined by:
2
3
Relative Search Volumes via Google Trends
Source: http://www.google.com/trends/explore#q=analytics%2C%20big%20data%2C%20operations%20research&cmpt=q
4
Relative Search Volumes via Google Trends
Source: http://www.google.com/trends/explore#q=analytics%2C%20big%20data%2C%20operations%20research&cmpt=q
5
Source: IDC
20002002
20042006
20082010
20122014
20160
20
40
60
80
100
120
140
160
Analytics Market Size
(US$ Billion)
Hardware & Services
Software
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BUSINESS ANALYTICS
BUSINESS INTELLIGENCE
DATAWAREHOUSE
DECISIONSUPPORT
BIG DATA
7
BIG DATA
• Happening NOW– Not just another way to say “Analytics”
• New challenges in data management and analysis require new approaches– Can’t just buy more storage and bigger database servers
Volume
Velocity
Variety
• More data crosses the internet each second than was stored on the internet 20 years ago
• Increasing need to capture data on a real-time or near-real time basis
• Not just text and numbers in a structured relational database – images, free text, transactional feeds, etc.
SAS Institute’s BI & Analytics Hierarchy
• What’s the best that can happen?Optimization
• What will happen next?PredictiveModeling
• What if these trends continue?Forecasting &Extrapolation
• Why is this happening?StatisticalAnalysis
• What actions are needed?Alerts
• Where exactly is the problem?Query/Drill Down
• How many, how often, when?Ad Hoc Reports
• What happened?Standard Reports
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Inte
llige
nce
/ So
phis
ticati
onCo
mpe
titive
Adv
anta
ge
Prescriptive
Predictive
Descriptive
But Where is the Rest of Operations Research?
Prescriptive Analytics – Optimization/Decision Models
Predictive Analytics – Extrapolation/Prediction
Descriptive Analytics – Report/Query/Alert
Data Warehouse
OtherData
MarketData
WorkforceData
OperationalData
FinancialData
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Healthcare Business Analytics – Lessons Learned
Founded: 1996 by Drs. Catherine and Don Kleinmuntz
Headquarters: Chicago, IL
Employees: Approximately 110
Client Base: About 1,000 hospitals
Portfolio:
Software-as-a-Service solutions for financial analytics and decision support in healthcare providers c
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National Client Base…
Where is Strata Decision Now?
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OPERATIONAL STRATEGIC
DES
CRIP
TIVE
P
RED
ICTI
VE
PRES
CRIP
TIVE
DSS – COST ANALYTICS DSS – CONTRACT
ANALYTICS
SERVICE LINE ANALYTICS
PRODUCTIVITY REPORTING
MANAGEMENT REPORTING
ROLLINGFORECASTING
CAPITAL TRACKING
EQUIPMENT REPLACEMENT
OPERATINGBUDGETING
CAPITAL BUDGETING
STRATEGIC PLANNING / LRFPHC REFORM
MODELING
Data-InformedForecasting and
Risk Analysis
Value-Focused Thinking& Optimization-Enabled Decision and Resource
Allocation Models
Opportunities for Advanced Analytics
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OPERATIONAL STRATEGIC
DES
CRIP
TIVE
P
RED
ICTI
VE
PRES
CRIP
TIVE
DSS – COST ANALYTICS DSS – CONTRACT
ANALYTICS
SERVICE LINE ANALYTICS
PRODUCTIVITY REPORTING
MANAGEMENT REPORTING
ROLLINGFORECASTING
CAPITAL TRACKING
EQUIPMENT REPLACEMENT
OPERATINGBUDGETING
CAPITAL BUDGETING
STRATEGIC PLANNING / LRFPHC REFORM
MODELING
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Why invest in advanced analytics?
Companies that invest in advanced analytical
capabilities outperform the S&P 500 by an average of
64%
What is preventing investment?
Companies listing “inadequate staffing or skills” as the top barrier
for implementing big data and analytics:
46%
Research Sept 2013
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Two Propositions
“Analytics doesn’t take anything away from Operations Research (OR). Outside our community, OR is seen as a toolkit but Analytics is seen as a process.”
-Anne Robinson Director, Supply Chain Analytics Strategy Verizon Wireless Past President of INFORMS
1. Analytics practice can benefit from OR knowledge and experience
2. OR can benefit from interest and enthusiasm for Analytics
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About INFORMS
• Largest membership association in the world for advanced analytics professionals
• Mission: lead in the development, dissemination and implementation of knowledge, basic and applied research and technologies in operations research, the management sciences, and related methods of improving operational processes, decision-making, and management.
• 11,000 members – Primarily (but not exclusively) academic: 50% academic, 30% practitioner, 20%
student– Highly educated: 51% doctorate, 96% earned or pursuing Masters or higher– Global: 79% North America, 10% Europe, 7% Asia– Growing both in number and diversity– Publisher of 13 scholarly journals– Annual conference with around 4,000 participants– Numerous interest-focused subdivisions– www.informs.org
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Analytics Initiatives at INFORMS
• Explicit strategic focus– Use Analytics as lever for increased engagement with individuals and
organizations in industry and government
• Existing:– Annual Conference on Business Analytics and Operations Research
• Formerly Conference on OR Practice• Boston, 30 March to 2 April 2014
– Analytics Magazine – bimonthly web publication– Section on Analytics– Certified Analytics Professional (CAP) credential
• In development:– Conference on the Business of Big Data
• San Jose, 22 to 24 June 2014
– Continuing Education Course offerings– Analytics Maturity Model
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Section on Analytics
2011• Bylaws
approved• 500 members
2012• 750 members• Innovative Applications in
Analytics (IAA) Award• Student Analytics Scholar
Competition (with SAS)• Integration with Analytics
eMagazine• LinkedIn Group
2013• 830 members• 1000+ LinkedIn Group• Regional conference with
Chicago Chapter & Univ. of Chicago
• IAA and Student Competition with SAS
• Engagement with certification (CAPTM) and other INFORMS Analytics initiatives
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Section Objectives
1. OUTREACH BEYOND INFORMS– Reach the vast and growing community of analytics
professionals outside INFORMS – Help them understand the tremendous value provided by
OR/MS
2. OUTREACH WITHIN INFORMS– Communicate about analytics with fellow INFORMS members– Explain how analytics can advance the use of OR/MS tools
and techniques
3. NETWORK AND DEVELOP– Develop a portfolio of Analytics Section member services– Attract a growing community of like-minded professionals for
networking and professional growth
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Certified Analytics Professional (CAP®)
• Certification Objectives– Advance use of analytics by introducing standards of
quality– Identify individuals with appropriate breadth of
knowledge– Encourage continued competency– Be software and vendor neutral– Be available to all who are eligible– Meet accreditation standards
(ISO/IEC 17024 & NCCA)
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Analytics Professional Job Task Analysis
• Certification requirements are based on a delineation of common or typical tasks performed and knowledge applied by Analytics Professionals
• Developed by 12 subject matter experts selected to be:
– Highly regarded – Diverse in geography, sector
(public-private), organization type and size, and application area (e.g., finance, logistics, software, consumer goods, etc.)
– Representing descriptive, predictive, and prescriptive segments of analytics
• Exam designed to test across a variety of domains
Domain
Description Weight
IBusiness Problem (Question) Framing
15%
II Analytics Problem Framing 17%
III Data 22%
IVMethodology (Approach) Selection
15%
V Model Building 16%
VI Deployment 9%
VII Life Cycle Management 6%
100%
22
5 E’s: Components of CAP® Certification
• Education:
• Experience:
• Exam: Tests skills and knowledge in the 7 domains of the Job Task Analysis
• Effectiveness: “Soft” skills confirmed by employer or client
• Ethics: Must agree to a Code of Ethics
See: www.INFORMS.org/Certification
Degree Level Degree Area Experience
MS/MA or higher Related Area 3 years
BS/BA Related Area 5 years
BS/BA Non-Related Area 7 years
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Analytics Certification Board
- Scott Nestler, CAP, US Army (Chair)- Polly Mitchell-Guthrie, SAS (Vice Chair)- Tom Davenport, Babson College- Bill Franks, Teradata- Jeanne Harris, Accenture- Terry Harrison, CAP, Penn State University- Lisa Kart, CAP, Gartner- Kathy Kilmer, Disney- Don Kleinmuntz, Kleinmuntz Associates- Jack Levis, UPS- Paul Messinger, CAP, University of Alberta- Jonathan Owen, General Motors- Melissa Moore, INFORMS Exec. Director
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Maintaining the CAP® Designation
• Certification requires that knowledge be kept current
• Recertification every 3 years • Based on earning at least 30
hours of professional development or equivalent– 1 Professional Development Unit
(PDU) = 1 hour of activity – PDUs can be maintained online
at INFORMS
PDU Category PDUs Allowed
Education/Training programs
1 PDU/hour of activity: must earn 8
Self-directed learning 1 PDU/hour of activity:maximum of 10
Creating new analytics knowledge
1 PDU/hour of activity:maximum of 10
Volunteer service 1 PDU/hour of activity:maximum of 10
Analytics professional work experience
5 PDUs/year of employment
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Test Available Worldwide (1 May 2014)via Computer-Based Administration
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For More Information
• INFORMS: www.informs.org
• INFORMS Analytics Section: www.informs.org/Community/Analytics
• Becoming a Certified Analytics Professional:www.informs.org/applyforcertification
• My email: [email protected]