SPSS Modeler 16 What's New!?

What’s New in IBM SPSS Modeler 16

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© 2013 International Business Machines Corporation 2

IBM SPSS Modeler

• Comprehensive predictive analytics platform

• Improve outcomes through predictive intelligence

• Desktop to integration within operational system deployment

• Providing a range of advanced analytics -decision management, text

analytics, entity analytics, social network analysis and optimization.


SPSS Modeler Editions

SPSS Modeler GoldProvides organizations with the ability to build and deploy predictive models directly into

the business process to help people or systems make the right decisions each time. This

is achieved with Decision Management which combines predictive analytics with

rules, scoring and optimization within an organization's processes and operational

systems to deliver recommended actions at the point of impact

SPSS Modeler PremiumProvides a range of advanced algorithms and capabilities including text analytics, entity

analytics, social network analysis and automated modeling and preparation techniques

to address a multitude of business problems and analytic requirements on almost any

type of data.

SPSS Modeler ProfessionalProvides a range of advanced algorithms, data manipulation and automated modeling

and preparation techniques to build predictive models and uncover hidden patterns in

structured data.


IBM SPSS Modeler v16 Themes

Faster ResultsBroader Analytics Flexible Deployment





Extend the Use of R

• Build and score R models through Modeler GUI

• Scale R execution by leveraging database

vendor provided R engines

• Use R processes and generate output


Extend the Use of R

• Custom Dialog Builder for R

• Provides the ability to create new Modeler Algorithm nodes and dialogs that

run R processes

• Makes R usable for non-programmers


Monte Carlo Simulation

• Generate simulated data

• Fit distributions from existing data

• Evaluate the simulation


Data Access and Preparation Enhancements

9

Distinct Node

Enhancements

Offers a set of options for

combining different observations

into a single entity

Streamlines ability to work with

output of entity analysis

UDA and WUDA Support

User Defined Aggregate functions

(UDA’s) in Aggregate Node

Windowed User Defined

Aggregate functions (WUDA’s) in

Derive expressions

SpaceTimeBoxes

Ability to more easily work with spatio-temporal

data

Track movement of entities in space and time


Entity Analytics Enhancements Support for Relationships

Persist Searches

Optionally add new

streaming records to

the repository

Anonymization

Anonymize features in the repository

to address privacy concerns

Relationships

Support n degree relationships (Unleashed only)

Find related entities in addition to exact matches


Other Additions

• Modeler Advantage

– More control over model options

– Tree viewer

• Improved ability to evaluate model performance (ROC, Gini and AUC

evaluation metrics)





Looping and Conditional Execution

Simplify use for non-programmers

Loop through Fields/Values

Define conditions to determine

execution (parameters, variables,

table output cells)

Python scripting is now available


Business Scenario Analysis

• Visualize the combined impact of rules, models, and optimization on business

outcomes

• Display side-by-side comparisons to visualize how changes impact the bottom

line

• Fine-tune the combinations of the scenario


Real-Time Analytics on Streaming Data

• Streaming Enhancement - Support for

Forecasting (Time Series)

Millions of Events per

Second

Microsecond Latency

Traditional / Non-traditional Data Sources

Real Time Decisions

PowerfulAnalytics

Algo Trading

Telco ChurnPrediction

SmartGrid

CyberSecurity

Government /Law Enforcement

ICUMonitoring

EnvironmentMonitoring


Other Additions

• Scripting with Python

Scoring Adapter support for Text Mining and DB2 LUW

• Netezza in database enhancements (New Two-Step algorithms, Model

Management and Model Visualisation support





TM1 Integration

• TM1 Source and Export nodes

• Score and/or manipulate data and export directly to TM1


Decision Management for Predictive Maintenance

• Make best use of scarce infrastructure and resources

• Predict failures and scheduling the right corrective actions at the right time

• Minimize costly down time


Decision Management for Demand Optimization

• Allocates a variable quantity to each outlet

• Predict the supply at each outlet to satisfy demand

• Maximize profits and avoid losses due to shortfalls and restocking fees.


• New/updated platform support

• Support for complex ODM rules

• Analytic Data View

• C&DS Installation improvements

• Web Services modernization

SSO enhancements

Support for Teradata Query Banding

Other Additions




• R integration

• Custom dialog boxes

for R

• Monte Carlo

Simulation

• Data Preparation

enhancements

• Entity Analytics• Anonymization

• N-degree

relationships

• Programmability from

the User Interface

• Business Scenario

Analysis

• New Scoring

Adapters

• Scripting with Python

• In-database

improvements

• TM1 integration

• New DM applications• Predictive

Maintenance

• Demand

Optimization

• Analytic Data View

• New/updated

platform support


Technology

SPSS Modeler 16 What's New!?