Insights on AACSB Curriculum Design Workshop Coordinators Paul Cronan Ron Freeze amp Rhonda Syler Sam M Walton College of Business University of Arkansas Faculty amp Industry Representatives ID: 816129
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HICSS-52 WorkshopData/Business Analytics in the Curriculum(Insights on AACSB Curriculum Design)
Workshop Coordinators:Paul Cronan, Ron Freeze & Rhonda SylerSam M. Walton College of Business, University of Arkansas
Slide2Faculty & Industry RepresentativesPaul Cronan, Ron Freeze & Rhonda Syler, Sam M. Walton College of Business, University of Arkansas
Michael Goul, W.P. Carey School of Business, Arizona State UniversityJean-Francois Plante, HEC MontrealJames Harroun, SAS2
Slide3Workshop ObjectiveThe objective of this workshop is to provide faculty participants with a forum to learn about, discuss, and identify strategies and resources for Data/Business Analytics in the curriculum at their university. In addition, the workshop will provide a hands-on tutorial implementing a short exercise utilizing data from a large dataset.
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Slide4Workshop ApproachDiscussion and exchange will focus on strategies, content, challenges, including finding and sharing available resources for faculty and student use.
Intended for faculty considering the development of an analytics curriculum or courses, as well as faculty teaching in the areas of Business Intelligence, Data, Statistics, and Business Analytics.4
Slide5Data Analytics and ‘Data’ – importance, demand, and relevanceProgram, Curricula Design, & Challenges:
what do we design & how do we design? ApproachesHands-on Tutorials – featuring SAS Enterprise Guide, SAS Viya and SAS Enterprise MinerRon Freeze – University of ArkansasJames Harroun – SAS Jean-Francois Plante – HEC MontrealResources –
Walton College Resources – Enterprise Systems
SAS Viya, SAS Enterprise Guide, SAS Enterprise SAS Visual Analytics
HEC Montreal – SAS Enterprise Miner
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Today’s Agenda
Slide6Timeline: 9 am – 12 pm(10 min) Data Analytics(20 min)
Curriculum Design, Approaches & Challenges (20 min) Walton College Resources & Datasets(40 min) University of Arkansas – SAS EG Tutorial with TUN Dillards
== BREAK 2:30pm
(~20 minutes)
==
(
40
min
)
SAS – Viya Tutorial
(
35
min
)
HEC Montreal – Gamification and Analytics Learning
(
15 min) Discussion
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Slide7AACSB – Dan LeClairConnectedWith practice; other disciplines; core concepts (global, ethics, …)Be clear about what is being promised
Scalability; Agility; SustainabilityHave a Purpose – Of course, employment; but beyond employment to larger goalsTo be leaders in environment, healthcare, public policy; an overarching purpose 7
Slide8Data Analytics in Business Curricula
Slide9Business RelevanceTop 3 Analytics Challenges:Sam Ransbotham, David
Kiron and Pamela Kirk Prentice, SMR, Spring 20159
Slide10Analytics EducationConvergence of skillsMath &
StatisticsComputer ScienceBusiness10
Slide11FocusWhat factors should be considered in designing your portfolio of analytics offerings?Analytics capabilities vs. mindsetSpecialized vs. generalized programsUndergraduate vs. graduate programsCore courses vs. electives
Skills and certificatesSoft skillsExperiential learningOnline vs. hybrid delivery11
Slide12Business Analytics & Education12
Methodology
Technology
Business
Source: Davenport, T.H. &
Patil
, D.J. Data
Scientist
: The
Sexiest
Job of the 21st Century, Harvard Business
Review
,
October
(2012)
Slide13Business Analytics Program Designa different view13
Database
Statistics
Tools/
Skills
Slide14Program Design - Database14
Database
Statistics
Tools
Database
Principles
SQL
Data
Modeling
Normalization
Dimensional Modeling
Disparate Sources
Metadata – dirty
data
“Big
Data”
Slide15Program Design – Statistics/Analytics15
Database
Statistics
Tools
Statistical
Methods
Descriptive
Analytics
Predictive
Analytics
Prescriptive
Analytics
Insights
Data Mining
Sentiment Analysis
Slide16Program Design – Tools/Skills16
Database
Statistics
Tools
Tools/
Skills
Communication
Presentation
‘R’
SAS Enterprise Miner
SPSS Modeler
IBM Watson
Analytics
Tableau
SAS Visual
Analytics
Hadoop
Python
SQL
Slide17More Comprehensive Approach17
Analytics Competency
Communication Skills
Statistics/Analytics
Database
Technical Tools
Business Application
Slide18By learning objectivesAnalytics - foundational analytical & statistical techniques to gather, analyze, & interpret information – “what does the data tell us?”Data – store, manage, and present data for decision making –
“How do I get the data – big data”Data Mining - Move beyond analytics to knowledge discovery and data mining – “Now, let’s use the data; putting the data to work”18
Slide19BSBA, Information Systems Degree –
Undergraduate Concentrations
Business Analytics
Enterprise Information Systems
Enterprise Resource Planning
BSBA -- Interdisciplinary Minors
Business Analytics
Enterprise Resource Planning
Graduate Certificate Programs
Business Analytics
Enterprise Information Systems
Enterprise Resource Planning
Master of Information Systems
Business Analytics
Enterprise Information Systems
Enterprise Resource Planning
MS, Statistics and Analytics & MBA
Business Analytics Track
Information Systems Programs
Slide20Information Systems Minors
BUSINESS ANALYTICSInterdisciplinary Minor
ENTERPRISE
RESOURCE PLANNING
Interdisciplinary Minor
Business Analytics & Visualization
Business Intelligence
Practicum - Applied Business Analytics
ERP Fundamentals (recommended)
Approved Upper Division Electives (3 hours)
Required Courses:
Elective Courses:
ERP Fundamentals
ERP Configuration & Implementation
Seminar in ERP Development (recommended)
Approved Upper Division Electives (6 hours)
Required Courses:
Elective Courses:
Accounting
Business Economics
Finance
General Business
Information Systems
Management
Marketing
Retail
Supply Chain
BSBA Walton
College Majors:
Business Analytics Minor (15
hrs
)
ERP Minor (15
hrs
)
Slide2121
Slide22Addressing the ChallengesVendor resourcesDeveloping faculty members & professional staff
Collaborations across departments/institutionsWays to do some homework
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Slide23Software Tools/Resources ExamplesIBM
– IBM SPSS Modeler, IBM Watson, Cognos, …Microsoft – Microsoft Data Analytics ToolsSAP –HANA, Business Objects, Lumira, & Predictive Analytics
SAS
– Enterprise Guide, Enterprise Miner, Visual Analytics, Visual Statistics
Teradata
System
Tableau
“R”
Data support –
Hadoop
, Python
Others
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Slide24Resources - Everyone Wins!IBM Academic Initiative
Microsoft Enterprise ConsortiumTeradata University Network
SAP
University Alliance ($ membership)
SAS
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Slide25Faculty Development Resources
ExamplesSAP University Alliance - Summer/Winter Faculty Workshops Business Objects & Lumira
HANA & Leonardo
- ERP Simulation Game (analytics, HANA)
SAS
- Summer/Winter Faculty Workshops
SAS Enterprise Miner
SAS Visual Analytics; SAS Visual Statistics
SAS Modeling,
plus resources (PP’s, datasets, …)
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Slide26SAS and the University of Arkansas
Slide27SAS and the University of Arkansas
Slide28SAS and the University of Arkansas
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Slide30Provide Access for Universities to…Datasetshttps://walton.uark.edu/enterprise/datasets.php30
Systems
https://walton.uark.edu/enterprise/overview.php
Tutorials
https://walton.uark.edu/enterprise/exercises-usecases-labs/sas-resources.php
Slide31DataDatasets for the classroom (real, large, messy, …) –
- Sam’s Club - Walmart - Acxiom - Dillard’s Department Stores - Tyson FoodsCompany Datasets for company problems – - Actual company data within the company - Non-disclosure agreements & confidentiality
- Faculty Research
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Slide32Interesting Aspects of Datasets(All data anonymized)Acxiom—actual 2013 demographics data for the US853 columns & 1.3 million rowsDillard’s –Original (actual data except cost)7 tables including some census dataTransaction table is 120 million rowsBeing used on UA Teradata for Duke SQL MOOC (30,000)Dillard’s – New (actual data except cost)Additional customer table which allow Geo Graphs
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Slide33Interesting Aspects of Datasets (cont)(All data anonymized)Nielsen—actual 2012 data for anonymous retailerIncludes 3 regions of retail information – ACV, RMCategories and subcategoriesSam’s Club – old; 2004 data with 750 million rows in the scan table. We host several subsets from 4 million to 50 million rowsSam’s Club – new;6 ½ years Sam’s club data
More than 4 terabytes in totalMore than 25 billion rows in totalWill be ready to host subsets for Fall 2017 33
Slide34SAS Enterprise Guide34
Slide35SAS – Viya James HarrounSAS ????35
Slide36SAS Enterprise MinerJean-Francois PlanteHEC – Montreal 36
Slide37Discussion PointsUniversity of Arkansas AccessSAS Viya Partner University Need link for SAS approval request37