applications in predictive analytics and the key ingredients for successful business transformation
TRANSCRIPT
Formerly SPSS Ireland
Applications in Predictive Analytics and
the Key Ingredients for Successful
Business Transformation
Alan McMahon
Senior Analytics Consultant
Analysis & Monitoring
Predictive Analytics
Prescriptive Analytics
Reporting
What happened?
Why did it happen?
What will happen?
What should I do
next?
The right solution for the right business problem?
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Analysis & Monitoring
Predictive Analytics
Prescriptive Analytics
Reporting
What happened?
Why did it happen?
What will happen?
What should I do
next?
The right solution for the right business problem?
4
Business Intelligence
Advanced Analytics
Where are organisations using Advanced Analytics?
5
Manufacturing
Supply Chain
& Logistics
Product Affinity
and Baskets
Customer
Satisfaction
How is it done?
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Product Affinity
and Baskets
» What products do customers
buy?
» Who else buys the most similar
stuff?
» In a peer group, what do most
have that this one doesn’t?
» What other peer group is the
closest? Can I increase the
value?
How is it done?
7Manufacturing
Finding patterns in maintenance operations that could point to opportunities for
improvements
Identifying assets at risk of failure even when they have no previous failure history
Unearthing characteristics that lead to an increased frequency of failures
ASSETS
MAINTENANCE LOGSSENSORING
Typical Challenges?
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Organisational Silos
No single source of truth
Numerous Product Categories
and Product Types
Increasingly
Competitive Markets
When does it work best?
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Delivering Measurable Outcomes – Return on
InvestmentDATA SUPPLY(DATA AND TECHNOLOGY)
BUSINESS
OPPORTUNITIES
ORGANISATIONAL
READINESS
Lack of Focus Low Adoption
Poor Results
ACTIONABLE
INSIGHTS
World of the
Possible
Key Business
Processes
Strategic Priorities
linkedin.com/in/alanpmcmahon
linkedin.com/company/presidion
@Presidion
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