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ANALYTICS PRACTICE VS. PREPDSI  11-­16

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DSI/DASI 2016 ARE  STUDENTS  GETTING  THE  SKILLS  EMPLOYERS  SEEK?

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Analytics GradsData Scientists

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INDUSTRY PERSPECTIVE

JOB  TITLES…GENERALLY  SPEAKING

• Big  data/database  administrator:    data  management  and  reporting• Business  analyst:  descriptive  analysis  and  reporting• Analytics:  descriptive,  predictive,  prescriptive (application/decision  focus)• Data  scientist:  descriptive,  predictive,  prescriptive  (CS/Programming  focus)

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CHAKRABORTY ET.AL. SUBJECT  BY  JOB  TITLE

• Preferred  skills  are  a  function  of  Job  title

Source:  Chakraborty,  Zolbanin,  Bowers,  Camm,  How  does  Industry  define  analytics,  Text  mining  study  of  job  postings,  Informs  Analytics  Conference  2015

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INDUSTRY PERSPECTIVE TOP  5  JOB  “SUBJECTS”

AnalyticsPersonal  &  CommunicationBusiness  DomainModeling  &  MethodologyDatabaseData  Handling

Data  SciencePersonal  &  CommunicationModeling  &  MethodologyBig  DataScriptingData  Handling

Source:  Chakraborty,  Zolbanin,  Bowers,  Camm,  How  does  Industry  define  analytics,  Text  mining  study  of  job  postings,  Informs  Analytics  Conference  2015

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MODELING & METHODOLOGY KD  NUGGETS  POLL,  844  VOTERS,  SEPT.  14,  2016  

Source  courtesy  of  Thomas  Tiart,  “What  do  Analytics  Programs  Teach?”,  INFORMS  2016

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DSI/DASI 2016 ANALYTICS  JOB  MARKETS  ARE  MATURING  

• Analytics  markets  &  submarkets:• Financial  (Banking,  Insurance,  Investment)• Marketing  (Product  management,  retail,  ecommerce,  advertising,  social  media)• Operations  (Supply  chain,  manufacturing)• Healthcare/biotech  (Admin,  Medical  care,  research,  personalized  med,  pharma)• Engineering/CS  (IoT,  Big  data,  telecomm).

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CHAKRABORTY, ET.AL. JOB  TITLE  VS  INDUSTRY  SECTOR

• Industry  sectors  have  preferences  for  job  titles

Source:  Chakraborty,  Zolbanin,  Bowers,  Camm,  How  does  Industry  define  analytics,  Text  mining  study  of  job  postings,  Informs  Analytics  Conference  2015

Company  Confidential  -­ For  Internal  Use  OnlyCopyright  ©  2013,  SAS  Insti tute  Inc.  Al l  r ights  reserved.

CHAKRABORTY, ET.AL. JOB  TITLE  VS  INDUSTRY  SECTOR

• Industry  sectors  have  preferences  for  job  titles

Source:  Chakraborty,  Zolbanin,  Bowers,  Camm,  How  does  Industry  define  analytics,  Text  mining  study  of  job  postings,  Informs  Analytics  Conference  2015

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ANALYTICS ACADEMIC  PERSPECTIVE

• Who  is  the  audience?• UG,  MBA,  MS,  PHD?

• What  &  How  is  Analytics  being  taught?• Who  is  teaching  analytics?    • DS,  MIS,  Marketing,  Stat,  CS,  IE/OR

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CHAKRABORTY, ET.AL. MINIMUM  EDUCATION  BY  JOB  TITLE

Source:  Chakraborty,  Zolbanin,  Bowers,  Camm,  How  does  Industry  define  analytics,  Text  mining  study  of  job  postings,  Informs  Analytics  Conference  2015

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THOMAS TIAHRT WHAT  DO  ANALYTICS  PROGRAMS  TEACH  (INFORMS 2016)

0 10 20 30 40 50 60

capstone  projectmarketing  analyticsstatistical  methodsdecision  makingdata  visualization

analytics  datadata  warehousingpredictive  analytics

time  seriesdatabase  management

data  sciencemachine  learningdata  management

information  systemsproject  management

data  analysisbusiness  intelligence

data  analyticsbusiness  analytics

big  datadata  mining

Bigram

Title  Frequency

This  slide  is  for  video  use  only.

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ANALYTICAL VALUE WHY  ARE  “SOME  MODELS USEFUL”?    

Context  (Business  Domain  knowledge)  is  key…1. asking  the  right  questions,  framing  the  problem,2. applying  the  right  tools,3. gleaning  insights  from  data  and  analysis,4. communicate  effectively,  visually,  persuasively.

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IN-­DEMAND SKILLS WHAT  +  HOW  ARE  YOU  TEACHING?

• Not  just  what  but  how  you  are  teaching  it,• Technique  or  problem/data-­driven  approach?• Are  tools  used  to  calculate  or  to  explore  and  discover?    • Are  students  providing  an  answer  or  presenting  a  solution?• Do  they  work  alone  or  in  teams?

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IDC WORLDWIDE  ADVANCED  AND  PREDICTIVE  ANALYTICS  SOFTWARE  2014  VENDOR  SHARES

Thank  you  and  invite

Source:  IDC,  Worldwide  Advanced  and  Predictive  Analytics  Software  Market  Shares,  2014:  The  Rise  of  the  Long  Tail  (Doc  #  257344).  ,  July  2015.  

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TRAINING SAS  BOOTCAMPS

January  9-­11 San  Diego,  CAApplied  Analytics  and  Text  Analytics– 3  daysManipulating  Data  and  Analytics  1  daySAS  Visual  Analytics:  Getting  Started  for  Professors  -­ 1  daySAS  Visual  Statistics  for  Professors  -­ 1  day

https://support.sas.com/learn/ap/prof/#t3

Free  Faculty  Workshops

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THANK YOU

21Copyright  ©  2010  SAS  Institute  Inc.  All  rights  reserved.

Scho

ol

degree

title

Intro  Stats

Regressio

n

Data  M

ining/Multivariate

Forecasting/Time  Series

DOE/6S

Intro  to  M

odeling

OR/MS

Process  m

odeling/Simulation

Decision  An

alysis

Risk  mod

eling

Database/data  warehou

sing

BI DM/M

IS/DSS

Comm/team/Visu

aliza

tion

Breadth  Rank

North  Carolina  State  University MS Analytics 1 1 1 1 1 0 1 0 0 0.5 1 1 1 1 10.5Louisiana  State  University MS Business  Analytics  &  Business  Intelligence 1 1 1 0.5 0.5 0 0.5 0 1 0 1 1 1 1 9.5NYU MS Business  Analytics 1 1 1 1 1 1 1 1 1 9Carnegie  Mellon MS Business  Intelligence  and  Data  Analytics 1 1 1 1 1 1 1 1 1 9Bowling  Green  State  University MS Business  Analytics  (specialization) 1 1 1 1 1 0 1 0.3 1 0 1 0 0.3 0 8.5University  of  Connecticut MS Business  Analytics  and  Project  Management 1 0.5 1 0.5 1 1 0.5 0.5 0.5 1 0.5 0.5 8.5Rutgers  University MS Operations  Research  &  Business  Analytics 1 1 1 1 1 1 1 0.5 1 8.5University  of  San  Francisco MS Analytics 1 1 1 0.5 0.5 0.5 0.3 0.5 1 1 1 8.25University  of  Michigan  -­‐Dearborn MS Business  Analytics 1 1 0.5 1 0.3 1 1 1 0.5 1 8.25Drexel  University MS Business  Analytics 1 1 0.5 1 0 0 1 1 0 0 1 0.5 1 0 8Stevens  Institute  of  Technology MS Business  Intelligence  &  Analytics 1 1 1 0 1 0 1 0 0 0 1 1 1 0 8Fordham MS Business  Analytics 1 1 1 0.5 1 1 1 1 7.5Oakland  University MS Business  Analytics 1 1 1 1 0.5 0.5 1 1 7University  of  Connecticut MS Business  Analytics  &  Project  Management 1 0.3 1 1 0.3 0 1 0.3 0 0.3 1 1 0 0 7St  Josephs  University MS Business  Intellignce 1 1 1 0 0 0 1 1 0 0 1 1 0 0 7Virginia  Commonwealth   MS Decision  Sciences  &  Business  Analytics  (emphasis) 1 1 0.3 0.3 0.3 0 1 1 0.3 0 0.3 1 0 0 6.25University  of  Denver MS Business  Intelligence 1 1 1 0 0 0 1 0 0 0 1 1 0 0 6Georgia  State  University MS Business  Analysis 1 0.3 0.3 0.3 0 1 0.3 0.3 0 0 1 1 0.3 0 5.5University  of  Cincinnati MS Business  Analytics 1 1 0.3 0.3 0.3 0 1 1 0.3 0 0.3 0.3 0 0 5.5Northwestern MS Predictive  Analytics 1 1 1 1 0 0 0.3 0 0 0.3 1 0 0 0 5.5Kent  Business  School MS Business  Analytics 1 1 0 1 0 1 1 0.3 0 0 0 0 0 0 5.25University  of  Tennessee MS Business  Analytics 1 1 0 0 0.3 0 1 0 0 0 0 0 1 1 5.25University  of  Illinois MS Statistics/Analytics 1 1 1 0.3 0 0 0 0 0 0 1 0 1 0 5.25University  College  Dublin MS Business  Analytics 1 1 0 0 0 0 1 1 1 0 0 0 0 0 5DePaul  University MS Predictive  Analytics 1 1 1 0.3 0 0 0 0.3 0 0 1 0.3 0.3 0 5University  of  Strathclyde MS Business  Analytics 1 1 0 0 0 0 1 0.3 0.3 0.3 0 0 0.3 0 4University  of  Southampton MS Business  Analytics  &  Management  Sciences 1 0 0.3 0 0 0.3 1 1 0 0 0 0.3 0 0 3.75Warwick  Business  School MS Business  Analytics  &  Consulting 1 0.3 0.3 0.3 0 0 1 0.3 0.3 0 0 0 0 0 3.25Miami  University BS Business  Analytics  (minor) 1 1 1 0.3 0 0 1 0 0 0 1 1 1 0 7.25University  of  Kentucky BS Business  Analytics 1 1 1 0 0 0 1 0 0 0 1 0 1 0 6Ferris  State  University BS Business  Data  Analytics 1 1 1 0 0 0 1 0 0 0 1 1 0 0 6Rutgers  University BS Business  Analytics 1 0.3 0.3 1 0 0 0.3 0 1 0.3 1 0 0.3 0 5.25

32 28 23 12 6.3 5.8 26 13 8 6 22 13 15 6