QA Final Data

7/30/2019 QA Final Data

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QA Project

INTRODUCTION

AXA is the world leading financial service group with assets under management of Euro 1,014

billion and Euro 91 billion in consolidated revenues and being one of the world largest

corporations. AXA operates with 214,000 employees to deliver the best quality of service to 95

million customers in 61 countries.

AXA Insurance PCL was established in Thailand in May 1990, with a joint venture between AXA

Group and two leading local partners; United Overseas Bank (Thai) Public Company Limited

and TISCO Bank Public Company Limited.

The companys operation has been expanding steadily over the years through the strong

support from the shareholders, business partners, insurance brokers, and agents including the

fast growing number of satisfied customers. The company is committed to the excellence by

being available, attentive and reliable to our customers.

Our head office is located in Bangkok and branch offices in Chiangmai, Nakhon Sawan, Khon

Kaen, Nakhon Ratchasima, Chonburi, Pattaya, Hua Hin, Samui, Surat Thani, Hatyai and Phuket.

We have an extensive network of professional staff and sales forces to take care of all your

insurance needs.

Partners

AXA Insurance PCL is a member of the global AXA Group, the world leading financial services

group and also a joint venture with two leading local partners; UOB Thai and TISCO Bank.

United Overseas Bank (Thai) Public Company Limited

United Overseas Bank (Thai) Public Company Limited (UOB Thai) is set to bring financial services

to new heights for our customers in Thailand. With 145 branches and 318 ATMs nationwide, we

offer both consumer and corporate banking customers a wide array of products and services

ranging from personal financial services to institutional banking, investment banking and

treasury services. It is the ninth largest commercial bank in Thailand, with a total assets of THB

216 billion as at 31 December 2008.


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As part of the UOB Group's extensive network of 572 offices in 18 countries and territories,

UOB Thai is well-positioned to become a significant player in the Thai banking and financial

industry.

TISCO Bank

TISCO was established in 1969 as the first investment bank in Thailand. The name TISCO

derived from the full company name at first founded, Thai Investment and Securities Company

Limited.

TISCO has developed several financial services to serve the increasing needs of the Thai growing

economy and has become one of the leading financial institutions of the country. In 2005,

TISCO was the first finance company to upgrade its status to a commercial bank under the Bank

of Thailands Financial Master Plan.

TISCO Bank Public Company Limited engages in banking business with service areas including

retail and SME lending, corporate lending, retail deposit, private banking, bancassurance, cash

management and custodian services.

TISCO Bank head office located at TISCO Tower, North Sathorn Road. It currently has 41

branches in the metropolitan and strategic provinces nationwide. The bank will increase its

service channels as well as develop new financial products to serve and respond to moreclients needs in the future.

AXA in Asia Pacific

With over 170 years of local experience In Asia Pacific, AXA Asia General Insurance operates in

Singapore, Malaysia, Indonesia, Thailand, Hong Kong, Korea, Japan, China and India. We also

have a representative office in Vietnam. We offer a wide range of personal lines and business

insurances for our individual customers and corporate clients.


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Rationality of the study

AXA insurance is the leading insurance firm across the world, with their operation in Thailand

also. So we wanted to survey which are the best insurance sales in Thailand and what category

of insurance should be called off and which one should have more sales or should be promoted

more with the help of marketing techniques.

AXA insurance have various types, we are mainly concentrating on the following:

1. Life Insurance2. Health Insurance3. commercial Insurance4. Motor Insurance5. Travel Insurance

From the above five insurance we would analyze which one holds the strongest and highest

number of sales with the help of our QA techniques and choose the best one.

Objective of the study

To determine the best model in the insurance company

As mentioned above we are analyzing on five insurance provided by AXA

insurance co. so our first objective will be to know which is the best model in the company that

is providing the highest sales.

To identify which model should be retained

After the analysis with the help of QA forecasting methods we can come to a

conclusion that which of the following insurance should be retained.

To eliminate the worst model from

After the analysis we can decide which is not fetching us enough sales and can

discontinue the sales the the respective insurance.


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Identification of dependent and independent variables

Dependent variables(Y)

Y sales

Independent variables(x)

We have selected different categories of insurance provided by the AXA

Insurance Public co., Ltd. as x

X Five predictors

X1 Life Insurance

X2 Health Insurance

X3 commercial Insurance

X4 Motor Insurance

X5 Travel Insurance


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Samples for the analysis of each model provided by AXA insurance


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Scattered diagram between Y and each predictor

Y and X1


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Y and X2


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Y and X3


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Y and X4


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Y and X5


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Analysis of which independent is the best predictor for y by using spss program

SPSS correlation outcome of each variable


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Linear regression line between Y and the best predictor

b0 & b1


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Linear regression line equation = b0 + b1(X)

=b0+b1(X)

=470535.400+6.156(X)

If X=700000

=470535.400+6.156(700000)

=4779735.4


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Samples from part1


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Line chart between Y and time

Forecasting Y by using linear trend line and determine MAD

t 465

Yt 17997213

tYt 275605096.6

t2 9455

(t)2 216225

Yt-Ft 5863445.613


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Average t 15.5

Average Yt 599907.1

Ft=b0+b1(t)

b1= tYt-(tYt)/n

t2-(t)2/n

=-1491.303626

b0=average Y-b1*average t

=599907.1-(-1491.303626)*15.5

=623022.3062

Linear trend model

Ft=623022.3062-(1491.303626)(t)

F31=576791.8938

MAD=Yt-Ft/n

=5863445.613/30

=194781.5204


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Line chart between Y and forecasting line of linear trend


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Moving average model


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Line chart between Y and forecasting line of the best moving average model


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Forecasting Y by using exponential smoothing with = .05 to .50 & determine

MAD


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Line chart between Y and forecasting line of the best exponential smoothing

model


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Result of forecasting term period 31 from the best model

The best model is moving average model.

QA Final Data

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Transcript of QA Final Data