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Big Data-Use Cases in Higher Education
1. Model Institute of
Engineering & Technology
Big Data-Use Cases in Higher
Education
SAHIL SAWHNEY
MGR. STRATEGIC INITIATIVES,
MIET
2. Key Business Challenges and Opportunities
•Acquire the most talented students
•Maximize students performance
•Retain students throughout their academic careers
•Understand and promote most effective instructors
•Shorten time consuming research and produce
accurate and impactful outcomes
•Identify at risk students
3. Case1-Predictive Analytics
Colleges are using Big Data to predict which
students will do well—Before They Accept Them
It is also being used to predict the
Success of a research project early.
Continuation of project
Stop the project
WSU's recruitment model had 96% accuracy
identifying "high-yield" application prospects
4. Case 2-Next Gen. Analytical Framework
Measurement, monitoring and tracking of
institution’s, faculty and student performance
Institutional Benchmarking
Real time alumni tracking through LinkedIn
Automated Guidance and Counseling
Real time research reports though Google
Scholar
5. Case 3 Social Media Reputation Index
SMRI
Key
Conversations?
Threats
Community
Building and
Communication
Positive and
Negative Trends
•Automated Sentimental
Analysis
•Real Time Social
Monitoring
•Popularity Index
•Competitor Analysis
6. Case 4-Global Academic Cloud
Create Universally Unique Identifiers for each
student
Track student progression, academic
performance, achievements, extra/co-
curricular activities across institutions and
geographies
Authentic records with documentary evidence.
Quick and on-demand verification.
facilitate global migration of students
7. State of Big Data Implementation in
Education in India
Missing Thread
8. Status at MIET
Next generation analytical tool-PI360
Performance Tracking
Predictive Analytics(In process)
Real time alumni tracking
Dedicated Social Media Cell
Conceptualization of Global Academic Cloud
Presentation slide for courses, classes, lectures et al.
Personalised Learning experience
Adaptive learning process
Loyal alumni
To predict the aptitude training requirements based on the demographic and social profile of the students
To predict the
Performance and Skill level of individual students.
Where the key conversations are taking place?
What positive and negative trends are being discussed by key influencers?
Where threats to your brand’s reputation exist and how they can be managed quickly?
What techniques and content you might need to build positive momentum for your brand in social spaces?
How you can quantify the value of social media marketing?
