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An Introduction to
SAS Enterprise Miner
CS5608: Big Data Analytics
By: Yasoda Jayaweera
Brunel University, London
OUTLINE
▪ An Introduction to SAS
▪ Importance of SAS
▪ Demo
▪ Building a decision tree with SAS Enterprise Miner
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 2
AN INTRODUCTION
SAS: A HISTORY
▪ Statistical Analysis System
▪ Began at North Carolina State University, US as a
project to analyze agricultural research
▪ A US based company founded in 1976
▪ Proprietary software
▪ SAS Base is the main software
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 4
SAS IDEs
▪ SAS Studio
▪ SAS Enterprise Guide
▪ Use to write and run SAS code
▪ General purpose reporting and analysis (manipulate data,
describe data, graph data, and perform advanced statistical
analysis)
▪ SAS Enterprise Miner
▪ Specifically for predictive and descriptive modeling
▪ Interface for data mining/neural networks
▪ Used for specific data mining techniques to create statistical
models, scoring models, segmenting data and etc.
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 5
IMPORTANCE OF SAS
IS SAS AN IMPORTANT PLAYER?
▪ Tradition/legacy
▪ Existing infrastructure (since 1976)
▪ Cost of transition
▪ Distrust of free software
▪ Lower processing times with Big Data
▪ Ability for sequential processing
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 7
IS SAS AN IMPORTANT PLAYER?
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 8
SAS Annual Report
IS SAS AN IMPORTANT PLAYER?
▪ Integrates with other proprietary software well
▪ Procedures are very well documented and
standardize coding
▪ Single-source support
▪ Many data scientists are not programmers and don't
care about using a cool language
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 9
GARTNER’S MAGIC QUADRANT 2017
Gartner has recognised SAS as a “Leader” in the magic
quadrant for data science platforms
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 10
SAS, R or PYTHON
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 11
Burtch Works survey 2017
SAS CERTIFICATION
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 12
▪ Global certifications
▪ Certification path
SAS APPLICATIONS
LEARNING MATERIAL
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 14
SAS ENTERPRISE MINER
▪ Introduction to the SAS EMiner interface
▪ SAS SEMMA process
▪ Building a decision tree
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 15
SAS SEMMA PROCESS
▪ Methodical approach that describes how an analysis
is performed
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 16
Sample
Explore
ModifyModel
Assess
DATA
▪ The DONORS_RAW_DATA data set contains details of
donations from a previous mail solicitation campaign
at a charitable organization
▪ Mailing a solicitation is associated with a cost
▪ Mailed and responded - $15.00 (received donation on average)
▪ Mailed but no response - $0.50 (postage)
▪ Did not mail – no cost
▪ Target variable
▪ 1 - decision to mail a solicitation to an individual
▪ 0 - decision to not mail a solicitation
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 17
SPEAKER
CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 18
Yasoda Jayaweera
PhD Student
Brunel University, London
(yasoda.jayaweera@brunel.ac.uk)

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Introduction to SAS Enterprise Miner

  • 1. An Introduction to SAS Enterprise Miner CS5608: Big Data Analytics By: Yasoda Jayaweera Brunel University, London
  • 2. OUTLINE ▪ An Introduction to SAS ▪ Importance of SAS ▪ Demo ▪ Building a decision tree with SAS Enterprise Miner CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 2
  • 4. SAS: A HISTORY ▪ Statistical Analysis System ▪ Began at North Carolina State University, US as a project to analyze agricultural research ▪ A US based company founded in 1976 ▪ Proprietary software ▪ SAS Base is the main software CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 4
  • 5. SAS IDEs ▪ SAS Studio ▪ SAS Enterprise Guide ▪ Use to write and run SAS code ▪ General purpose reporting and analysis (manipulate data, describe data, graph data, and perform advanced statistical analysis) ▪ SAS Enterprise Miner ▪ Specifically for predictive and descriptive modeling ▪ Interface for data mining/neural networks ▪ Used for specific data mining techniques to create statistical models, scoring models, segmenting data and etc. CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 5
  • 7. IS SAS AN IMPORTANT PLAYER? ▪ Tradition/legacy ▪ Existing infrastructure (since 1976) ▪ Cost of transition ▪ Distrust of free software ▪ Lower processing times with Big Data ▪ Ability for sequential processing CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 7
  • 8. IS SAS AN IMPORTANT PLAYER? CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 8 SAS Annual Report
  • 9. IS SAS AN IMPORTANT PLAYER? ▪ Integrates with other proprietary software well ▪ Procedures are very well documented and standardize coding ▪ Single-source support ▪ Many data scientists are not programmers and don't care about using a cool language CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 9
  • 10. GARTNER’S MAGIC QUADRANT 2017 Gartner has recognised SAS as a “Leader” in the magic quadrant for data science platforms CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 10
  • 11. SAS, R or PYTHON CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 11 Burtch Works survey 2017
  • 12. SAS CERTIFICATION CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 12 ▪ Global certifications ▪ Certification path
  • 14. LEARNING MATERIAL CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 14
  • 15. SAS ENTERPRISE MINER ▪ Introduction to the SAS EMiner interface ▪ SAS SEMMA process ▪ Building a decision tree CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 15
  • 16. SAS SEMMA PROCESS ▪ Methodical approach that describes how an analysis is performed CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 16 Sample Explore ModifyModel Assess
  • 17. DATA ▪ The DONORS_RAW_DATA data set contains details of donations from a previous mail solicitation campaign at a charitable organization ▪ Mailing a solicitation is associated with a cost ▪ Mailed and responded - $15.00 (received donation on average) ▪ Mailed but no response - $0.50 (postage) ▪ Did not mail – no cost ▪ Target variable ▪ 1 - decision to mail a solicitation to an individual ▪ 0 - decision to not mail a solicitation CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 17
  • 18. SPEAKER CS5608 - Introduction to SAS EMiner - Yasoda Jayaweera 18 Yasoda Jayaweera PhD Student Brunel University, London (yasoda.jayaweera@brunel.ac.uk)