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1) James Taylor is the CEO of Decision Management Solutions and helps clients improve business decisions through analytics. 2) Successful decision management requires clearly defining target decisions, understanding their business impact, and decomposing them to determine data and analytic needs. 3) The key is then deploying analytical decisions into existing business systems and processes to automate and improve targeted decisions.

Technology Business

Business Friendly
Data Mining

James Taylor
CEO

Your presenter – James Taylor
CEO of Decision Management Solutions
Works with clients to improve their
business by applying analytic technology
to automate & improve decisions
Spent the last 9 years championing
Decision Management and developing
Decision Management Systems

©2012 Decision Management Solutions 1

Data Mining and Predictive
Analytics WORK

©2012 Decision Management Solutions 2

Success Requires A Clear Target

©2012 Decision Management Solutions 3

Success Requires Deployment

?

? Decision

©2012 Decision Management Solutions 4

Success Requires Collaboration

Business

Decision

©2012 Decision Management Solutions 5

Decision Management is the
proven approach used to
manage decisions, set goals
for predictive analytic
efforts, apply and deploy
predictive analytics
effectively
©2012 Decision Management Solutions 7

Step 1

Be clear which decisions
you are improving

©2012 Decision Management Solutions 8

A Decision

A choice or selection
Based on facts
That ends
uncertainty
And results in action
©2012 Decision Management Solutions 9

Discover High ROI Decisions
Risk decisions Customer decisions
How risky is this deal How profitable might this
and what should we do? customer be?
Predict risk of a bad Predict response,
outcome opportunity, potential
Rigorous, regulated Rapidly evolving

Fraud decisions
How likely is this to
be fraudulent?
Predict risk of fraud
“Black box”
©2012 Decision Management Solutions 10

Use Questions to Define Decisions
For each decision
Name
Description
Question and a defined set of allowable answers
Any other results to be returned with the answer

©2012 Decision Management Solutions 11

Step 2

Understand how those
decisions impact the
business

©2012 Decision Management Solutions 12

Target Decision-making On KPIs

Strategy defines KPIs

KPIs measure operations

Operational decisions affect
KPIs

The link between decisions
and KPIs is critical
©2012 Decision Management Solutions 13

Define The Business Context
Key Performance Business Processes
Indicators What processes does this
How is success measured business execute?
in this business area? Which business processes
How to tell good decisions will need decisions made?
from bad ones and the
value of focusing on a Business Events
decision What key business events
trigger business behavior?
Organizations When will decisions be
What is the basic required and in what
organization structure context
Teams, departments, Existing Systems
groups not individuals
What are the core systems
Who cares about the for this business area?
decisions
How will you have to
deploy decision making?
©2012 Decision Management Solutions 14

Put Analytics In Context
Processes Know which business
Activities require decisions processes will be
improved by your
analytics
Events
Trigger decisions Know when your
analytics might be
Systems calculated
Implement decisions
Know how you will have
Organizational Units to deploy your analytics
Make decisions
Own decisions Know who cares about
Are impacted by decisions your analytics and who
will have to believe them
©2012 Decision Management Solutions 15

Step 3

Decompose decisions to
understand them

©2012 Decision Management Solutions 16

Decompose the decisioning
What is required to make decision?
Guidelines, policy documents
Human expertise
Regulations
Existing system logic
Data describing the case
External reference data
Predictive Analytic Models
Data Mining Results

The results of other decisions
©2012 Decision Management Solutions 17

Case study: Insurer
Business challenges Solution Benefits
Use analytics to Model and Find the decisions
improve decompose that could be
underwriting decisions impacted and
Map decisions to refocused analytic
Embed analytics in effort
claim processing systems and
application organizations Constrained
analytic effort to
ensure successful
implementation

Decision Models Are Revealing

©2012 Decision Management Solutions 19

Decision Models Are Revealing 2

©2012 Decision Management Solutions 20

Step 4

Deploy analytical decisions
to the systems and
processes that need them

©2012 Decision Management Solutions 21

Build decision-making components

Operational
Systems

Decision

Analytic
Systems
©2012 Decision Management Solutions 22

Create Decision Management Systems
Agil
e

Analyti
c

Adaptiv
e

©2012 Decision Management Solutions 23

Decision Management
Establishes a clear target
Enables rapid deployment
Creates a collaboration framework Business

Decision

Thank You
James Taylor, CEO
jtaylor@decisionmanagementsolutions.c
om

James Taylor, CEO of Decision Management Solutions, introduces the key principles of Decision Management Systems and explains their role in a modern information systems architecture. You will learn what it means for Decision Management Systems to be agile, analytic and adaptive. The four principles of Decision Management Systems will be introduced and the power of Decision Management Systems will be shown with case studies.

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1. Business Friendly Data Mining James Taylor CEO

2. Your presenter – James Taylor CEO of Decision Management Solutions Works with clients to improve their business by applying analytic technology to automate & improve decisions Spent the last 9 years championing Decision Management and developing Decision Management Systems ©2012 Decision Management Solutions 1

7. Business-Friendly Data Mining

8. Decision Management is the proven approach used to manage decisions, set goals for predictive analytic efforts, apply and deploy predictive analytics effectively ©2012 Decision Management Solutions 7

11. Discover High ROI Decisions Risk decisions Customer decisions How risky is this deal How profitable might this and what should we do? customer be? Predict risk of a bad Predict response, outcome opportunity, potential Rigorous, regulated Rapidly evolving Fraud decisions How likely is this to be fraudulent? Predict risk of fraud “Black box” ©2012 Decision Management Solutions 10

12. Use Questions to Define Decisions For each decision Name Description Question and a defined set of allowable answers Any other results to be returned with the answer ©2012 Decision Management Solutions 11

14. Target Decision-making On KPIs Strategy defines KPIs KPIs measure operations Operational decisions affect KPIs The link between decisions and KPIs is critical ©2012 Decision Management Solutions 13

15. Define The Business Context Key Performance Business Processes Indicators What processes does this How is success measured business execute? in this business area? Which business processes How to tell good decisions will need decisions made? from bad ones and the value of focusing on a Business Events decision What key business events trigger business behavior? Organizations When will decisions be What is the basic required and in what organization structure context Teams, departments, Existing Systems groups not individuals What are the core systems Who cares about the for this business area? decisions How will you have to deploy decision making? ©2012 Decision Management Solutions 14

16. Put Analytics In Context Processes Know which business Activities require decisions processes will be improved by your analytics Events Trigger decisions Know when your analytics might be Systems calculated Implement decisions Know how you will have Organizational Units to deploy your analytics Make decisions Own decisions Know who cares about Are impacted by decisions your analytics and who will have to believe them ©2012 Decision Management Solutions 15

18. Decompose the decisioning What is required to make decision? Guidelines, policy documents Human expertise Regulations Existing system logic Data describing the case External reference data Predictive Analytic Models Data Mining Results The results of other decisions ©2012 Decision Management Solutions 17

19. Case study: Insurer Business challenges Solution Benefits Use analytics to Model and Find the decisions improve decompose that could be underwriting decisions impacted and Map decisions to refocused analytic Embed analytics in effort claim processing systems and application organizations Constrained analytic effort to ensure successful implementation

25. Questions?

26. Takeaways

27. Decision Management Establishes a clear target Enables rapid deployment Creates a collaboration framework Business Decision

28. Thank You James Taylor, CEO jtaylor@decisionmanagementsolutions.c om

Editor's Notes

The power of predictive analytics is their ability to turn uncertainty about the future into usable probability
Goals and measures of success are clear
Business, IT and Analytics team can collaborate effectively
[twitter]#decisionmgt systems link analytic systems to operational systems[/twitter]
AgileChanging CircumstancesComplianceProcess ImprovementAnalyticManaging RiskReducing FraudTargeting and RetainingFocusing ResourcesAdaptiveFinding New ApproachesTesting and LearningManaging Trade-offs

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