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Copyright © 2010 SAS Institute Inc. All rights reserved. 2016 INFORMS International The Analytics Tool Kit: A Case Study with JMP Pro Mia Stephens – [email protected] http://bit.ly/1UyGW57

2016 INFORMS International Business Analytics Toolkit€¦ · Title _2016 INFORMS International Business Analytics Toolkit Created Date: 6/15/2016 7:46:39 AM

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Page 1: 2016 INFORMS International Business Analytics Toolkit€¦ · Title _2016 INFORMS International Business Analytics Toolkit Created Date: 6/15/2016 7:46:39 AM

Copyright  ©  2010  SAS  Institute  Inc.  All  rights  reserved.

2016 INFORMS InternationalThe Analytics Tool Kit: A Case Study with JMP ProMia Stephens – [email protected]

http://bit.ly/1UyGW57

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

Background

§ TQM  Coordinator/Six  Sigma  MBB

§ Founding  Partner,  Statistical  Trainer  and  Consultant,  North  Haven  Group

§ Senior  Consultant  and  Trainer,  George  Group  (now  Accenture)

§ Adjunct  Professor  Statistics,  University  of  New  Hampshire

§ Academic  Ambassador,  JMP  Academic  Team

§ Author

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

Background

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

What is JMP (and JMP Pro)?§ Statistical  Discovery  Software  from  SAS

§ Developed   in  1989

§ For  teaching  and  doing§ Comprehensive§ Basic§ Advanced

§ Extendible§ powerful  scripting  language§ application  and  add-­in  builders§ Excel,  R,  MATLAB,  and  SAS

§ Visual,  dynamic  and  interactive

§ JMP  Pro  – Advanced  tools  for  analytics  and  modeling

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

What is Analytics?

“…an  encompassing  and  multidimensional   field  that  uses  mathematics,  statistics,  predictive  modeling  and  machine-­learning   techniques  to  find  meaningful  patterns  and  knowledge in  recorded  data.”  

§ Descriptive  statistics

§ Predictive  analytics

§ Prescriptive  analytics

From  SAS  Analytics:    http://www.sas.com/en_us/insights/analytics/what-­is-­analytics.html

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

What is Analytics?§ Descriptive  statistics

§ Understand  what  happened  and  why§ Exploratory  and  explanatory  modeling

§ Predictive  analytics  § Using  past  data  and  predictive  algorithms  to  determine  what  will  happen  next  

§ Predictive  modeling

§ Prescriptive  analytics§ Answering  the  question  of  what  to  do,  by  providing  information  on  optimal  decisions  based  on  the  predicted  future  scenarios  

§ Simulation  and  optimization

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

The Business Analytics Process

Define  the  Problem

Prepare  for  Modeling

Modeling

Deploy  Model

Monitor  Performance

Business  Problem

BusinessAnalyticsProcess

From  Building  Better  Models  with  JMP  Pro,  Grayson,  Gardner  and  Stephens,  2015.

May  loop   back  at  any  step

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

Key  Tools:• SQL/Query• Data  table  structuring  -­ join,  concatenate,  update,  stack,  summarize,…

• Summary  statistics  and  graphical  displays,  interactive  tools  and  filtering  Multivariate  procedures  (clustering,  PCA,…)

• Transformations,  creating  derived  variables

• Missing  data  utilities,  outlier  analysis,  recoding,  binning

• Creating  holdout  set(s)

Data Preparation: Activities and ToolsKey  Activities:• Determine  which  data  are  needed

• Compile  (or  collect  new)  data• Explore,  examine  and  understand  data

• Assess  data  quality• Clean  and  transform  data• Define  features• Reduce  dimensionality• Create  training,  validation  and  test  sets

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

Key  Tools:• Multiple  Regression• Logistic  Regression• Naïve  Bayes• kNN• Classification  and  Regression  Trees• Bootstrap  Forests  and  Boosted  Trees

• Neural  Networks• Generalized  Linear  Models• Survival  Models• Forecasting/Time  Series• Model  Comparison• Text  Mining

Modeling: Activities and ToolsKey  Activities:• Choose  the  appropriate  modeling  method  or  methods

• Fit  one  or  more  models• Evaluate  the  performance  of  each  model  using  validation  statistics  (misclassification,  RMSE,  Rsquare)

• Choose  the  best  model  or  set  of  models  to  address  the  analytics  problem  (and  ultimately  the  business  problem)

• **Create  ensemble  models  

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

Define  the  Problem

Prepare  for  Modeling

Modeling

Deploy  Model

Monitor  Performance

Business  Problem

BusinessAnalyticsProcess

May  loop   back  at  any  step

Key  Activities  and  Tools:• Deliver  the  model  and  model  results  to  the  business  or  internal  customers

• Communicate  results  (graphs  and  profilers,  summaries,  explore  “what  if”  scenarios)

• Assist  in  applying  model  insights  and  implementing  ongoing  use  of  the  model  

• Document  the  project• Follow  up  with  the  business  sponsor  to  close  out  the  project

Deploy Models: Activities and Tools

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

Case Study: Property Values on the Big Island

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

Case Study: Property Values on the Big Island

Data  from  Redfin.com.    Downloaded  June  6,  2016.

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

The Business Analytics Process

Define  the  Problem

Prepare  for  Modeling

Modeling

Deploy  Model

Monitor  Performance

Business  Problem

BusinessAnalyticsProcess

From  Building  Better  Models  with  JMP  Pro,  Grayson,  Gardner  and  Stephens,  2015.

May  loop   back  at  any  step

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Copyright  ©  2010,  SAS  Institute  Inc.  All  rights  reserved.

For more information…§ jmp.com/academic

§ Learning   library  (guides  and  videos)§ Case  studies§ Tools  for  teaching  statistical  concepts§ Books  for  teaching  with  JMP

§ jmp.com/jac§ Discussion  forum§ File  exchange§ More  teaching  and  learning  resources

§ This  slide  deck  and  data  set§ http://bit.ly/1UyGW57

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Copyright  ©  2010  SAS  Institute  Inc.  All  rights  reserved.

[email protected]/academic

Discussion and Q&A