- James Taylor is the CEO of Decision Management Solutions, which helps clients improve business decisions through analytic technology. - Decision management is a discipline and technology stack that builds on existing IT to enhance processes through analytics and increase business control. - There are three steps to decision management: identify important operational decisions, design independent decision services using rules, and create a feedback loop between operations and analytics.

1. James Taylor,
CEO
Decision
Management and
Cloud as a Platform
for Predictive
Analytics

2. Your Presenter – James Taylor
CEO of Decision Management Solutions
We work with clients to improve their
business by applying analytic technology
to automate & improve decisions
I have spent the last 11years
championing Decision Management and
developing Decision Management Systems
©2014 Decision Management Solutions
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3. Decision Management
A business discipline and a technology stack
Builds on existing IT infrastructure
Enhances business processes
Leverages analytics to manage uncertainty
Increases transparency and business control
Effectively implements
Business Rules
Predictive Analytics
©2014 Decision Management Solutions
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4. 3 steps to decision management
Identify and model
the decisions that
are most important
to your operational
processes
Design and build
independent
decision services
using business rules
to manage these
decisions
Create a “closed
loop” between
operations and
analytics to
measure results and
drive improvement
©2014 Decision Management Solutions
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5. AGENDA
1 2
Finding High
Value
Opportunities
for Predictive
Analytics
Defining Analytic
Requirements
Selecting the
Right Cloud
Strategy
Selecting the
Best Fit
Technology
Architecture
3
Focusing the
Data Effort
4 5 6
Take-aways and
Next Steps

6. 1. Find High Value Predictive
Analytic Opportunities

7. This is not where Predictive
Analytics have power

8. Customer
Churn
Claims
Fraud
Pricing
Risk
This is…

9. Strategic
Decisions
Tactical
Decisions
Operational
Decisions

10. Finding Opportunities
Business Processes
Brainstorm
Business Intelligence
Micro and hidden
Decisions
KPIs
©2014 Decision Management Solutions
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11. 2. Use Decisions to Clearly
Define Predictive Analytic
Requirements

12. Turn Insight Into Action
Operational
Systems
Decision
Analytic
Insight
©2014 Decision Management Solutions
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13. Decisions Need More Than Insight
Decision
©2014 Decision Management Solutions
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14. Modeling Decisions Brings Transparency
Decision
©2014 Decision Management Solutions
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15. Three Elements in Decision Models
Decisions require Information
2. Decisions require Knowledge
3. Decisions require other Decisions
1.
©2014 Decision Management Solutions
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16. Decision Models Build Understanding
Decision
Insight
Knowledge
Information
©2014 Decision Management Solutions
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17. Put Decisions First
Link Action To Analytics
Link Action
To Analytics
©2014 Decision Management Solutions
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18. 3. Use Decisions To Focus
Data Efforts

19. We often wait for a
360o view before acting
©2014 Decision Management Solutions
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20. But too much data simply
drowns decision-makers

21. From Decision To Data
Data
Analytic
Insight
Decision
…not the other way
around
©2014 Decision Management Solutions
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22. Big Data AND Little Data Matters
Structured Data
is critical
Big Data adds value
Use decisions to find
the (big) data that
matters to you
©2014 Decision Management Solutions
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23. 4. Select The Right Cloud
Strategy

24. Benefits of Predictive Analytics & Cloud
Scalability
Pervasiveness
Deployment
Agility
Move
analytics to
the data
©2014 Decision Management Solutions
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25. New to Predictive Analytics
1.
Pre-packaged cloud-based decision solutions
Easy to adopt
Fast time to value
2.
Focus on customers
Customer satisfaction decisions
Customer acquisition decisions
3.
Remember
Customer satisfaction takes real-time scoring, data
Work with trusted vendors to handle privacy,
security
©2014 Decision Management Solutions
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26. Expanding Predictive Analytics
1.
Adopt the cloud
For pervasive deployment of predictive analytics
To deliver predictive analytics at scale
2.
Focus on operational systems
Near real-time operational data is key
Operational integration delivers maximum value
3.
Apply Big Data to these problems
Unstructured data at once
Sensor, Audio, Image too
©2014 Decision Management Solutions
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27. 5. Select The Right
Technology

28. Today these pieces are semi-detached
1. Operational systems are built in a variety of ways
Application Context
Business Process
Management
Event Processing
3. Reports and queries are
intended to improve decision
making
Enterprise
Application
Business
Intelligence
Data
Infrastructure
2. Data is extracted for analysis
Performance
Management
4. Dashboards are used to
monitor performance
©2014 Decision Management Solutions
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29. Powerful technologies are underutilized
1. Business rules are forced into business processes
Business
Rules
Business Process
Management
Predictive
Analytics
Application Context
Event Processing
2. Predictive analytics are
forced into reports or left
stand-alone
Enterprise
Application
Business
Intelligence
Data
Infrastructure
Performance
Management
3. Optimization has limited,
localized effect
Optimization
4. The effectiveness of
decision-making is not
tracked or improved
Decision
Analysis
©2014 Decision Management Solutions
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30. A Decision Management Context
Decision Management links these
technologies to the application context
Application Context
Business
Intelligence
Business Process
Management
Data
Infrastructure
Predictive
Analytics
Enterprise
Application
Event Processing
Performance
Management
Decision Service
Business Rules
Predictive
Analytics
Optimization
Decision
Analysis
Enterprise Platform
Decision Management ties
heterogeneous
technologies into a
coherent approach for
better results
Decision Management
allows decision
performance to be
tracked, analyzed and
ultimately improved
Decision Management ties
how decisions are being made
and what can be done to
improve them directly to
business performance
©2014 Decision Management Solutions
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31. Predictive
Analytics
AND
Business
Rules
External Data
Big Data
© Decision Management Solutions, 2013

32. Next Steps

33. Advice For Getting Started
Decisions
First
• Identify operational decisions
where analytics makes a difference
• Model these decisions to improve
business understanding
Analytics
AND Rules
• Adopt business rules technology
as well as analytic technology
• Integrate them to maximize value
Big AND
Little Data
• Let decisions drive the data
• Decisions can need big data or
little data or both
©2014 Decision Management Solutions
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34. Model Decisions For Analytic Success
Download our Decision Modeling for
Analytic Projects White Paper
decisionmanagementsolutions.com/decision-modeling-for-predictive-analytic-projects
Register for a Free DecisionsFirst Modeler Evaluation
decisionmanagementsolutions.com/decisionsfirst-modeler
Online Training
Decision Management and Decision Modeling
Live, online training in 6 1.5 hr sessions
February 4,5,6 and 18,19,20. 1:00pm – 2:30pm ET
decisionmanagementsolutions.com/online-training
©2014 Decision Management Solutions
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35. Thank You
James Taylor, CEO
james@decisionmanagementsolutions.com
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