Design business it system

1. BIS assignment 2 MBA 2014-2016
Section A Group 6
Roll Number Name
UM14001 Abhijeet Dash
UM14007 Adyasha Dash
UM14012 Ankita Mehrore
UM14017 Ayushi Gilra
UM14024 Esha Epsita
UM14031 Kshitij Tinku
UM14035 Mudita Manot
UM14039 Partha Pratim Sahu
UM14045 Rohitaksha Panda

2. OBJECTIVE:
To make a purchase decision of property with help of Expert choice
software by comparing different locations on given set of parameters
Properties are to be purchased in 4 different cities: Pune, Hyderabad,
Ahmedabad, Gurgaon
PARAMETERS:
The purchase decision is based on consideration of following
parameters:
•Cost
•Location
•Environment
•Demand and Supply
•Structure and customization

3. THE BASIC MODEL

4. COST
The cost parameter accounts for 38.7%
of purchase decisions made by the
customer. It includes:
• Price of the property: The amount to be paid
upfront for the property
• Mortgage rate: The rate of interest available for
mortgaging
• Registration charges: The total charges paid for
registration as per the government norms
• Loan availability: The ease of availability of home
loans
• Resale value: The value earned after resale of the
property

6. LOCATION
The location parameter accounts for 20.6% of the
purchasing decision and it consists of:
Transportation: it includes all form of public transport such as auto, bus, taxi stand
etc.
Education: Proximity of schools, computer centers and other learning places from
the property.
Medical: Proximity of hospitals, childcare center, nursing homes etc.
Shopping facility: Shopping malls and small Kirana stores for daily usage.
Recreational facility: Restaurants, gymnasiums, parks, movie theatres etc.
Workplace proximity: Distance from the office

8. DEMAND and SUPPLY
This parameter accounts for 8.8% of the purchasing
decisions made by a customer. It includes:
Population in the area: Population of the city and also the locality
Rate of migration: This maps the frequency of migration of people to
and from the city.
Availability of commercial land: How much land area of city is
available for commercialization. It relates to the prosperity of the city.

10. STRUCTURE and CUSTOMIZATION
This parameter accounts for 9.3% of the customer’s
purchasing decision and includes:
Floor area: The total floor area of the property being
purchased
Design: Design cost of the house being purchased
Material used: Material being used for construction of the
house
Furnishings: Products and articles used for furnishing the
property

12. ENVIRONMENT
Environment as a parameter accounts for 22.7% of
the customer’s purchasing decision and includes:
Security: How safe is the city to live in. Previous records for
theft and burglary etc.
Noise: Noise level in the city including traffic noise, use of
loud speakers etc. Noise level should be low
Neighborhood: How safe and friendly is the neighborhood.
View: Refers to how clean and green the city is in general.

14. SENSITIVITY ANALYSIS
Performance
Gradient
Dynamic
Head to Head
2D Graphs

15. graph displays how the alternatives perform with respect to all objectives
"left y-axis" to read each objective's priority
right y-axis" to read the alternative priorities with respect to each parameter
Performance graph is dynamic
lines connecting the alternatives from one parameter to another have no significance.

16. Dynamic Sensitive Analysis
 The graph is used to dynamically change the priorities of the
parameters to determine how these changes affect the priorities of the
alternative choices

17. Gradient Sensitivity
The graph shows the alternatives' priorities with
respect to one parameter at a time
The vertical red line represents the priority of the
selected objective
The dotted blue line shows the new parameter's
priority
Look for cross-over points of the alternatives

19. Head To Head Comparison
It shows how two alternatives compared to one another
against the parameters in a decision
One alternative is listed on the left side of the graph and
the other is listed on the right
The alternative on the left is fixed.
Down the middle of the graph are listed the parameters
in the decision
The overall priority can either be shown based on the
parameter weights (typical) or un-weighted

23. 2D Graphs
The graph displays the alternatives' priorities with respect to two parameters at a time.
By clicking the menu commands "X Axis" and "Y Axis" you have the ability to change the
objectives being displayed.
The area of the 2D plot is divided into quadrants.
The most favorable alternatives with respect to the parameters on the two axes will be shown
in the upper right quadrant (the closer to the upper right corner, the better the alternative).
The least favorable alternatives will be shown in the lower left quadrant (the closer to the lower
left corner, the less favorable the alternative).
Alternatives located in the upper left and lower right quadrants indicate a visual representation
of the alternatives for both the selected parameters.

25. ComparisonsComparison of
the Different
Analysis Reports
Pair-wise
Comparison
Results:

26. Conclusion:
 Based on the relative weight age assigned to the five
parameters Ahmedabad comes out to be best location
for purchasing the property followed by Hyderabad, Pune
and Gurgaon.