UMESH VARMA

When dealing with regulatory agencies, complete and clear documentation is must. 

Thorough planning with timeline, resource management, and budgets is essential.

Careful analysis of the data may help establish the following:

Competition

Competition thru co-ordination

Availability of resources

Identification of critical success factors

Regulatory requirements

Data collection or intelligence gathering is an essential part of decision making about new academic programs. Equally important is the analysis/interpretation of the data that may provide trends, projections, and gaps. However, cross-referencing data sets may sometimes reveal unexpected results. 

Feasibility study is a prerequisite for any new project/academic program ... this may involve

- fact finding

- needs analysis

- supply and demand

- strategic value of the program/product

- iterative research

- data analysis and interpretation

- compliance issues

- interaction with external entities

- brainstorming

- projections and forecasting

- organizational/departmental (internal) core competencies and key-value deliveries