SAS® Factory Miner · Decisions at scale •Use ALL relevant data •Include more attributes...

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SAS® Factory Miner Søren Johansen Advisory Services Analytics

Transcript of SAS® Factory Miner · Decisions at scale •Use ALL relevant data •Include more attributes...

Page 1: SAS® Factory Miner · Decisions at scale •Use ALL relevant data •Include more attributes •More predictive machine learning algorithms •Model tournaments •More granular

SAS® Factory MinerSøren Johansen

Advisory Services Analytics

Page 2: SAS® Factory Miner · Decisions at scale •Use ALL relevant data •Include more attributes •More predictive machine learning algorithms •Model tournaments •More granular

New product available on 14 July

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Why Factory Miner?

Volume of models and data

Frequency / timelinessVariety of data

You might remember

these slides from

previous years

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New relevant concepts

Massive modeling

Predictive analytics factory

Large-scale machine learning

Rapid data mining

Model by exception

Automated modeling

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Decisions at scale

• Use ALL relevant data

• Include more attributes

• More predictive machine learning algorithms

• Model tournaments

• More granular segments

• Enable non-technical users

• More time for analytic innovation

• Integration

• Embedded analytics

• Move insights closer to the decision-maker

• Combine business rules and models

• Build once, deploy anywhere

Automation

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What is the probability that this customer is a

detractor?

Individual CommercialFamily PrepaidSmall

business

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

20 new models

?

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Summed customer transactions

Customer type

Community type

Distance

Spend frequencyCreating a hierarchy of models, choosing the “best” model at

each level

DATA

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Boost model performance and data scientist productivity

Train

ScoreAssess

Model

Test data New data

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Boost model performance and data scientist productivity

ScoreAssess

Test data New data

Train

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Boost model performance and data scientist productivity

ScoreAssess

Test data New data

TrainChampion

Segm

ents

Alternatives

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Short demo

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Now you have lots of models. What next?

!!!???!!!

The ‘IT’ people The ‘Analytics’ people

I just built 850 new models. When can you put them into

production?

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Automated models & business rules … together

• What: Data from Hadoop, DB

• How: Data Integration, Data Loader

Data

• What: Customer Data Mart, Segmented ABT

• How: Enterprise Miner, Factory Miner, Open Source, Business Rules

Discovery• What: Models, Rules,

Data

• How: DecisionManager, ScoringAccelerators

Deployment

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Key benefits

SPEED

Get answers fast through automated model development using customizable templates

Get accurate answers to your questions by applying modern machine learning and predictive analytics algorithms

Boost productivity of your data scientists through automation and collaboration

EFFICIENCY

PRECISION

Scale environment with your growing needs

SCALABLE

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SAS Development PartnerKEY GOALS

• Identify customer with high likelihood to respond or to churn

• Segmented models across plans, channels and campaigns

• Automated machine learning, model selection and deployment

SOLUTIONS

• Development partner: SAS® Factory Miner

• Currently using SAS® Enterprise Miner™ and SAS® Rapid Predictive Modeler

KEY RESULTS AND BENEFITS (ongoing)

• Increased model lift vs control (significant lift in top demi-decile)

• Collaborative modeling methods and best practices

• Faster deployment (automated selection within minutes across all segments)

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