1. Andrew F. Brimmer College of Business and Information ScienceTM
Andrew F. Brimmer College of Business and Information Science
Jack Crumbly, PhD (Tuskegee University)

2. The Evolution of Structured and Unstructured Data: What’s the Impact on Supply Chain Management?2

3. Agenda Introduction Partnership Motivation Example Findings Conclusion3

4. Introduction Industries are adapting to innovations and improvements
Omnichannel options
Social Mobile Local Environment (SoMoLo)
Internet of Things (IoT), Internet of Everything (IoE)
Supply Chain Visibility
Product Tracability 4

5. Introduction
As firms adapt to these innovations, there is a struggle to adapt to increased demand streams.
There is a need for candidates with the ability to make decisions with data using data analytics tools. 5

6. Introduction Data Analytics Environment Structured Data
In-Memory Database
Unstructured Data
Clickstream Data
Sentiment Data
Geolocation Data
Server Log Data
Machine and Sensor Data 6

7. Big Data Partnerships SAP Project Propel Project Dream
Initiative between SAP and HBCUs
Providing access to SAP tools and training to initiate implementation of SAP Tools to curriculum
Data from public domain
SAP providing data to academic partners to provide opportunities for academics and students to gain access to tools and experience with data based decisions
Presidential Candidates, additional data sources
SAP Lumira and SAP Predictive Analysis 7

8. Big Data Partnerships Tuskegee University Big Data projects
Introducing data analytics to all Sophomores business majors
Students are given data or collaborate with a campus organization (example campus hotel and conference center) to develop decision using SAP Lumira or SAP Predictive analytics
Areas of focus
Predictive Model
Cluster (SAP Predictive Analytics)
Linear Regression (SAP Predictive Analytics) 8

9. Big Data Partnerships Tuskegee University Big Data projects continued
Students are introduced to data analytics tools for use in business statistics course taken in the sophomore and junior year
Discussing with statistics professors using SAP data analytics tools
Current data analysis tools used
Minitab
Issues with renewal of license (Minitab)
Administration encouraging statistics faculty to utilize SAP tools
IBM interested in collaboration (IBM Watson Analytics) 9

10. Big Data Partnerships
Marketing statistics opportunities using organizations recruiting candidates
Large CPG organization visited Business Analytics course
Discussed opportunities in the area of data analytics and data science
Discussed data analytics project using open source tools (SAP, Python, R, etc)
Professor
Collaborate with organizations and educators
Recruiting high performing students to work develop data analytics/data science projects
Discussing opportunities to learn skills(R, Python and Hadoop) 10

11. Big Data Partnerships Hack Oregon (www.hackoregon.org)
Assists Tuskegee University with data sciences initiatives
Collaborate with local and state organizations
Extract, Transform and Load data into open environment
Provide novice, junior and senior talent with developing data science and analytics solutions using R, Scala, Python through Hadoop environment
Provides Tuskegee University students with opportunities to descriptive, predictive and prescriptive methods to solve problems using data science tools 11

12. Next Steps Continued Collaboration with big data partners
Development of Hack Tuskegee
Collaboration with state and local organizations
Develop parallel projects with Hack Oregon team
Invite interested candidates to develop projects
Knowledge based view predicts that information and learning will lead to competitive advantage.
Perhaps that advantage could be Porter’s Product [Service] Innovation.
Interfirm relationship theory suggests that relationships can provide special advantages
such as information and rewards. Alternatively social capital theory offers differing predictions.
Tight linkages versus loose linkages, structural holes.
The Creativity Process model identifies important inputs such as domain specific knowledge, creative methods, and motivation
that could originate in either organization, but need to wind up together for the creative process.
The NSD literature brings these theories together by stressing process and relational inputs.
Cannon, Joseph P. and William D. Perreault Jr. (1999), “Buyer-Seller Relationships in Business Markets,”
Journal of Marketing Research, 36, November, pp
Dwyer, F. Robert, Schurr, Paul, H., Oh, Sejo, “Developing Buyer-Seller Relationships,”
Journal of Marketing, Vol. 51, No. 2, pp
Cooper, Martha, Gardner, John, T., (1993), “Good Business Relationships:
More Than Just Partnerships or Strategic Alliances?” International Journal of Physical
Distribution and Logistics Management, Vol. 23, 6, pp

13. Questions????