Business Model
Business Goals
Competition
IT Infrastructure (from Data Collection point of view)
Quantify Goals
Data Collection
Data Sampling
House Hold Income
Gender
Father/Mother’s Occupation
Marketing, Advertising/
Teaching, Support Staff
IT, Physical Infra
Course Material (Hard / Soft)
Expectations
Road Blocks / Constraints
Risks
Define Success / Failures
Data Distribution
Characteristics of Data
Distribution
Data Relationships
Data Dimensionality
Course-Geography
Concentrations
Potentials
Expenses
Geographical Analysis
Demographical Analysis
Data Relationships (continued)
Trends
Central Tendencies
Confidence Intervals
Goodness of Fit
Response vs. Explanatory Variables
Y as a function of x1, x2,…xn
Generalized Linear Models
Validation of Models
Predict
Do What-If Analysis
Pilot the Decision
Tune and Implement
Enrolment
Scholarships
Examination
State
Pin Code Range
Rural vs Urban
City
Channel Source (Email, Web, Telecalling)
State
City
Channel Source (Email, Web, Telecalling)
State
City
State
City
Pin Code
In some cases specific school based dimensions can be considered
Channel
State
City
School
Course
Channel
Forms
Partial Withdrawal
Channel
State
City
By State
By City
By Zip
By Analysis of Target Location Based Potential
Projecting Sales Growth once opened
By State
By City
By Zip
Conversion to Spend
Channel Wise Analysis
Channel wise
New Locations wise
Course Wise
Course
Grade
State
State
City
Course
Conversion Ratio
Profit/Loss