In this presentation, Shanmugam introduces Analytics and devices an innovative model that gives out recommendations to students regarding choosing the right engineering streams. Shanmugam employs data analytics to achieve this.

1. Name: Shanmugam Marimuthu
E-mail: shanmugam.m212@gmail.com
Twitter ID: @shanmugam_m212
University: Sri Manakula Vinayagar Engineering College,
Pondicherry University.
Year/Semester: III yr / VI sem
Course: B.Tech
Branch: Information Technology
ANALYTICS

2. Introduction
OAnalytics is the computational analysis of
data or statistics
OIt is the implementation of practical
knowledge in mathematics via data and its
statistics
OThe techniques and models are based on
the study which is used to sustain business
in today’s competitive world

3. Trends
OAnalytics is more essential for business
magnets to increase their market value
OThe recent trends in analytics are Predictive
analytics, Enterprise decision Management,
Retail Analytics, Marketing mix modeling,
etc.,
OIn my perspective PREDICTIVE ANALYTICS
will be having a huge impact in analytics for next
five years
OIt is because using this, the performance of
any product can be increased by overcoming
the negatives in the product

4. Interest Areas
OMy Interests are Predictive analytics, Retail
Analytics, Risk analytics
OI will utilize my practical knowledge to explore
innovative things and bring out new
opportunities

5. Identified Problem Area
OThe intakes of IT Streams in engineering admissions
are eradicating now-a-days
OMost of the students and parents are preferring Non
IT Streams than IT Streams
OAt the end of their graduation, they are opting IT jobs
ODue to this issue, upcoming students are struggling to
choose the streams

6. Proposed Model
OThe focus made here is to list out the factors
which mislead the students about the
Professional Courses, especially the IT Streams
OHere primary and secondary data sources are
collected
OFor primary data sources, data are collected
through feedback from students, parents,
managements, the recruiting industries and
agencies

7. OHistorical data serves as secondary data
sources
OOur analytics mechanism operates on the data
sources to generate the facts
OThis serves the student and parents
community to choose the right career with the
help of Business Intelligence Model
Contd.,

8. Model Diagram

9. Advantages
OAnalytics will help the students and parents
community to choose their right courses in
professional streams
OThis model has predictive data analytics
Outcomes
OGraphical representation forecasts the
engineering admissions
OThis representation will increase the intakes of
IT streams in engineering admissions

10. Thank you