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SAS FACTORY MINER OVERVIEW

JUNE 2015

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SAS® FACTORY

MINER

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FACTORY MINER BOOST MODEL PERFORMANCE

Train

ScoreAssess

Model

Test Data New Data

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DECISIONS AT

SCALEBOOST MODEL PERFORMANCE

ScoreAssess

Test Data New Data

Train

Segm

ents

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DECISIONS AT

SCALEBOOST MODEL PERFORMANCE

ScoreAssess

Test Data New Data

TrainChampion

Segm

ents

Alternatives

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SAS®

FACTORY

MINERAUTOMATED, WHITE BOX MODELING

• Run model tournaments on segments

in your data

• Define as many model process flows as

required

• Test ideas with statistical and machine

learning algorithms in unified environment

• Identify champion model by segment

using customizable assessment statistics

• Identify and fine-tune underperforming

models fast

• Edit any model pipeline in easy to use

interface

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SAS®

FACTORY

MINERSHARABLE BEST PRACTICE PROCESS TEMPLATES

• Sharable projects

• Global data source metadata

• Model templates with building

blocks

• Include variable engineering and

reduction

• Customizable and shareable

• Generate best-practice building

blocks for organizational model

process

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SAS®

FACTORY

MINERMODERN MACHINE LEARNING

• Modern machine learning algorithms

• Decision trees, Random forests, Gradient

boosting, Neural networks, Bayesian

networks,

• Support vector machines, Regression,

Generalized linear models

• Automated data transformation

• Principal component analysis

• Unsupervised and supervised variable

selection

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SAS®

FACTORY

MINER

FACTORY MINER DEMO

Platinum

Gold

Silver

Bronze

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SAS®

FACTORY

MINER

What is the probability

that this customer is a

Detractor?

Individual CommercialFamily PrePaidSmall

Business

G S B P G S B P G S B P G S B P G S BP

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THANKS!