IBM BUSINESS ANALYTICS SUMMIT

2014

Wannes Rosius

IBM Business Analytics

Client Technical Specialist

What’s New in IBM SPSS Modeler 16

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.

IBM SPSS Modeler

SPSS Modeler Editions

SPSS Modeler Gold

Provides 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 Premium

Provides 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 Professional

Provides 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 Results Broader Analytics Flexible Deployment

IBM SPSS Modeler v16 Themes

Broader Analytics Faster Results 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 UDA and WUDA Support

User Defined Aggregate functions

(UDA’s) in Aggregate Node

Windowed User Defined

Aggregate functions (WUDA’s) in

Derive expressions

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

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

IBM SPSS Modeler

Modeler Advantage •More control over model options •Tree viewer

Improved ability to evaluate model performance (ROC, Gini and AUC evaluation metrics)

Other Additions

IBM SPSS Modeler v16 Themes

Faster Results Broader Analytics Flexible Deployment

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

Powerful Analytics

Algo Trading

Telco Churn Prediction

Smart Grid

Cyber Security

Government / Law

Enforcement

ICU Monitoring

Environment Monitoring

IBM SPSS Modeler

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)

Other Additions

IBM SPSS Modeler v16 Themes

Faster Results Broader Analytics Flexible Deployment

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.

IBM SPSS Modeler

Other Additions

•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

IBM SPSS Modeler v16 Themes

Faster Results Broader Analytics Flexible Deployment

• 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

IBM SPSS Modeler

IBM BUSINESS ANALYTICS SUMMIT

2014

Thank you