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James Taylor,
CEO

Decision
Management and
Cloud as a Platform
for Predictive
Analytics
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

2
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

3
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

4
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
1. Find High Value Predictive
Analytic Opportunities
This is not where Predictive
Analytics have power
Customer
Churn

Claims
Fraud
Pricing
Risk

This is…
Strategic
Decisions
Tactical
Decisions
Operational
Decisions
Finding Opportunities
Business Processes
Brainstorm
Business Intelligence

Micro and hidden
Decisions
KPIs
©2014 Decision Management Solutions

10
2. Use Decisions to Clearly
Define Predictive Analytic
Requirements
Turn Insight Into Action
Operational
Systems

Decision

Analytic
Insight
©2014 Decision Management Solutions

12
Decisions Need More Than Insight

Decision

©2014 Decision Management Solutions

13
Modeling Decisions Brings Transparency

Decision

©2014 Decision Management Solutions

14
Three Elements in Decision Models
Decisions require Information
2. Decisions require Knowledge
3. Decisions require other Decisions
1.

©2014 Decision Management Solutions

15
Decision Models Build Understanding
Decision

Insight

Knowledge

Information

©2014 Decision Management Solutions

16
Put Decisions First
Link Action To Analytics

Link Action

To Analytics
©2014 Decision Management Solutions

17
3. Use Decisions To Focus
Data Efforts
We often wait for a
360o view before acting
©2014 Decision Management Solutions

19
But too much data simply
drowns decision-makers
From Decision To Data

Data
Analytic
Insight
Decision

…not the other way
around

©2014 Decision Management Solutions

21
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

22
4. Select The Right Cloud
Strategy
Benefits of Predictive Analytics & Cloud

Scalability

Pervasiveness

Deployment
Agility

Move
analytics to
the data
©2014 Decision Management Solutions

24
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

25
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

26
5. Select The Right
Technology
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

28
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

29
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

30
Predictive
Analytics

AND

Business
Rules
External Data

Big Data
© Decision Management Solutions, 2013
Next Steps
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

33
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

34
Thank You
James Taylor, CEO
james@decisionmanagementsolutions.com

35

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Decision Management & Cloud as a Platform for Predictive 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 2
  • 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 3
  • 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 4
  • 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
  • 10. Finding Opportunities Business Processes Brainstorm Business Intelligence Micro and hidden Decisions KPIs ©2014 Decision Management Solutions 10
  • 11. 2. Use Decisions to Clearly Define Predictive Analytic Requirements
  • 12. Turn Insight Into Action Operational Systems Decision Analytic Insight ©2014 Decision Management Solutions 12
  • 13. Decisions Need More Than Insight Decision ©2014 Decision Management Solutions 13
  • 14. Modeling Decisions Brings Transparency Decision ©2014 Decision Management Solutions 14
  • 15. Three Elements in Decision Models Decisions require Information 2. Decisions require Knowledge 3. Decisions require other Decisions 1. ©2014 Decision Management Solutions 15
  • 16. Decision Models Build Understanding Decision Insight Knowledge Information ©2014 Decision Management Solutions 16
  • 17. Put Decisions First Link Action To Analytics Link Action To Analytics ©2014 Decision Management Solutions 17
  • 18. 3. Use Decisions To Focus Data Efforts
  • 19. We often wait for a 360o view before acting ©2014 Decision Management Solutions 19
  • 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 21
  • 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 22
  • 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 24
  • 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 25
  • 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 26
  • 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 28
  • 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 29
  • 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 30
  • 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 33
  • 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 34
  • 35. Thank You James Taylor, CEO james@decisionmanagementsolutions.com 35