SAS forecasting - Study on Customer’s Preferences for High-Class Gated Community Residential Flats...

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“ SAS CODING - Study on Customer’s Preferences for High-Class Gated Community Residential Flats in OMR, Chennai” Faculty Facilitator Dr. James Daniel paul Geetha. P 13MBA1022

Transcript of SAS forecasting - Study on Customer’s Preferences for High-Class Gated Community Residential Flats...

“ SAS CODING - Study on Customer’s

Preferences for High-Class Gated Community

Residential Flats in OMR, Chennai”

Faculty Facilitator

Dr. James Daniel paul

Geetha. P

13MBA1022

INDUSTRY PROFILE

Residential Real Estate Industry has increase in growth in the

past few years owing to the following reasons:

Continuous growth in population

Migration towards urban areas

Ample job opportunities

Growing income levels

Rise in nuclear families

Easy availability of finance

Demand for houses increased especially in urban areas

COMPANY PROFILE

'Passion, Principles and Performance'

• Akshaya Private Ltd. is a construction and a real estate

company

• Founded in 1995 by T. Chitty Babu

• Both commercial and residential projects all over India

• More than 10 successful projects in OMR, viz. Akshaya

Today/January/Adair/unCompromise/Abov/Tango

• CREDAI partner/member

• IGBC certified

• Competitors : Pacifica Aurum, TVH, Appasamy Real Estates,

Radiance Shine , Hiranandhini, Ceebros, Adorit etc

OBJECTIVES

To find out customer preference for the key attributes with reference to the buying decisions of high class gated community residential flats.

To study the set of factors that a consumer takes into consideration while making a decision of buying a home in OMR, Chennai.

To find out buying preferences of the consumers with respect to location

Prize

size

Amenities

Brand preference of the property

FACTORS INFLUENCING BUYING DECISION OF THE

PROPERTY

PURCHASE OF HOME

Location

Cost

Facilities

Growth Rate

Proximity to Work

Place

privacy

Amenities

Exteriors

Interiors

Neighbor

hood

Timely possession

Green Environ

ment

FACTORS INFLUENCING BUYING

DECISION OF THE PROPERTY

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

MEA

N

7.10 FACTORS INFLUENCING BUYING DECISION OF THE PROPERTY

Location / Place

Cost/Price

Facilities/Product

Growth Rate/ Promotion

Proximity to Work Place

Privacy

Amenities

Ideal Ticket size of the Flat

Day Lightning Provision/NaturalLight

Exteriors

Interiors

Social Class of Neighbourhood

Timely Possession of the Property

Green Environment

SAS CODING-Sampling for Akshaya Builders

• Import two unequal excel files with a common field• Joining the two unequal files• Frequency table• Chi-square • Descriptive Statistics • ‘t’ test • Correlation • Regression• Logistic Regression• Anova • Factor Analysis

SAS CODINGImporting Multiple unequal excel files with a common field

/* Datastep Start */Proc import datafile = "C:\Users\GEELUKE\Desktop\Geemba\Inputfiles\Akshayp1.xls" out=work.Akshayp1 replace;sheet="Income"; range="a1:b121";getnames=yes; Run;Proc import datafile = "C:\Users\GEELUKE\Desktop\Geemba\Inputfiles\Akshayp2.xls" out=work.Akshayp2 replace;sheet="Factors"; range="a1:o121";getnames=yes; Run;

SAS CODINGJoining Multiple unequal files

Proc sql;create table work.AkshayOMR asselect *from work.Akshayp1, work.Akshayp2, work.Akshayp3, work.Akshayp4, work.Akshayp5, work.Akshayp6, work.Akshayp7where Akshayp1.Sno= Akshayp2.Sno = Akshayp3.Sno = Akshayp4.Sno = Akshayp5.Sno = Akshayp6.Sno = Akshayp7.Snoorder by Akshayp1.Sno;quit;Note: AkshayOMR is the combinations(join) of all files.

SAS CODINGFrequency table

• /*frequency*/

• Proc freq data=work.

• Akshayp2;

• tables Loc Cost Facilities GrowthRateProximitytoWorkPlce Privacy Amenities FlatSize LightProvExteriors Interiors SocClassNeighbrPossesnTimeGreenEnv;

• run;

SAS CODINGChi-square

/*Chisq*/Proc freq data=work.AkshayOMR;tables Budget*BHKType /Chisq;run;

SAS CODINGDescriptive Statistics

/* Mean values */Proc means data =work.Akshayp2;var Loc Cost Facilities GrowthRateProximitytoWorkPlce Privacy Amenities FlatSize LightProv Exteriors Interiors SocClassNeighbr PossesnTimeGreenEnv;run;

SAS CODING‘t’ test

/*ttest*/Proc ttest data=work.AkshayOMR;var Budget;var Loc Cost Facilities GrowthRate ProximitytoWorkPlce Privacy Amenities FlatSizeLightProv Exteriors Interiors SocClassNeighbr PossesnTime GreenEnv;run;

SAS CODINGCorrelation

/*correlation*/Proc corr data=work.AkshayOMR;var Budget;Var BHKType;/*var Loc Cost Facilities GrowthRate ProximitytoWorkPlce Privacy Amenities FlatSizeLightProv Exteriors Interiors SocClassNeighbr PossesnTime GreenEnv;*/run;

SAS CODINGRegression

/*regression*/Proc reg data=work.AkshayOMR;model Budget=BHKType;run;quit;

SAS CODINGLogistic Regression

/*Logistic proc*/

Proc logistic data=work.AkshayOMR;

model Budget=BHKType;

run;

SAS CODINGCreating Barcharts for Factors(Cost Vs Amenities)

THANK YOU