2. Twice as likely to be in the top
quartile of financial performance
within their industries.
Three times more likely to
execute decisions as intended.
Five times more likely to
make decisions faster.
Leading Analytics & Data Science
Companies:
4. • Align with corporate
strategy
• Ignite stakeholder
engagement
• Sharpen team
focus
• Drive change
management
• Recruit key talent
Five Critical Pillars of Success
5. Analytically
Impaired
What happened
In our business?
5
Align with Corporate Strategy
Localized
Analytics
What can we do
to improve this
activity?
Analytical
Aspirations
Can we
extrapolate
existing trends?
Analytical
Companies
How can we use
analytics to
innovate and
differentiate?
Analytical
Competitors
How do we stay
ahead?
1 2
3
4
Competing on Analytics
Framework
6. Align with Corporate Strategy
Impact area
Impact horizon
GROWTHEFFICIENCY
SHORT TERM LONG TERM
Analytics Opportunities Prioritize Framework
Factory
Logistics
Shipping
Procurement
7. Ignite Stakeholder Engagement
Why important? Anatomy of an Analytics Project
Realize
Impact
Impact
becomes
known
Opportunity
Framing
Analytics &
Modeling
Data
Collection &
Conditioning
Tools
Building
ImplementationExperiments
Big Opportunities
Select Winner Impact
Impact = Guess
Too many unknowns
Test multiple variables
Impact precision increases
Analytics Team
Responsibility
8. Ignite Stakeholder Engagement
• Spending time with stakeholders
outside of meetings (e.g. lunches
and dinners)
• Understand stakeholder incentives:
what gets them their bonus?
• Align output (insights) with
stakeholder incentives
• Recast team incentives
Your role in communicating strategy to company?
Leveraging executive evangelists and sponsors.
9. Sharpen Team Focus
The Analytics Project Pipeline
Theme Stage Importance Urgency
Framing Stage
25%
Reducing
expenses by
optimizing
supply chain
Data
Collection
Medium High
FTE allocation
25%
Implementation Stage 10%
Analysis Stage
35%
Data Collection Stage
30%
Strategic Theme 1
45%
Other 5%
Strategic Theme 2
30%
Strategic Theme 3
20%