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.
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