Business Analysis Assignment by Jamil

8/9/2019 Business Analysis Assignment by Jamil

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ContentsIntroduction....................................................................................................................1

Background Study (About Samsung).....................................................................................1

Question1...................................................................................................................... 21. Data collection method:...........................................................................................2

2. Samling techni!ues:..............................................................................................3

Question 2..................................................................................................................... 4

Discrete Data (e"amle).................................................................................................4

#ontinuous Data (e"amle).............................................................................................5

Question $..................................................................................................................... 8

%iterature re&ie'........................................................................................................ 10

o' sot'are generated inormation hels:.......................................................................11References................................................................................................................12

Appendix.................................................................................................................. 13


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Introduction*he #hosen organi+ation here is: ,Samsung-. Samsung is chosen as it can be researched easily

using the Internet and academic search engines. In this analysis reort the obecti&e is to learn

about data collecting and collecting methods or 'riting research reorts/ using dierent rele&ant

techni!ues to analy+e and resent data and alying roriety sot'are as an aid to decision

making and control. In this regard the chosen comany 'ill be assessed.

Background Study (About Samsung)*he glory o Samsung has been sung or o&er 0 years.*hrough inno&ati&e/ reliable roducts and

ser&ices talented eole a resonsible aroach to business and global citi+enshi and

collaboration 'ith their artners and customers/ Samsung is taking the 'orld in imaginati&e ne'

directions. (Samsung/ 213)4ur lagshi comany/ Samsung 5lectronics/ leads the global market

in high6tech electronics manuacturing and digital media. *he main eature o Samsung ismaintaining high engaging customer relationshi. 7any says/ the success reason or Samsung is

Samsung-s connection 'ith eole 'ho o'n their roducts/ as 'ell as nurture that relationshi

by ro&iding an engaging e"erience on their 'ebsite. 8hile there 'ere a number o

considerations at hand/ Samsung belie&ed that making the #reate An Account rocess at their

site simler could result in signiicant beneits or both their customers and Samsung. (9anrain/

n.d.)Lee Talbott, Senior 7anager/ Digital Analytics racticei 7erkle/ Samsung-s agency artner

and leading customer relationshi marketing (#;7) irm/ said that/

othari/ 211)

1. Data collection method: *o gather data o this reort/ there 'ill be use o both the

methods o gathering data: questionnaire and interview/ but the most used method 'ould

be a ace to ace inter&ie'. (>. ?. >rishnas'amy/ 2@)

a) In case o resenting a !uestionnaire/ the !uestions has to be set beore going to them.

So/ it has to be structured in orm. A comletely structured questionnaire is the one


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in 'hich all resondents are asked the same set o redetermined !uestions 'ith i"ed

'ordings and se!uence. (8ayne oddard/ 23)

*he !uestionnaire 'ill be a self-administered questionnaire. It is the tye o

!uestionnaire 'here resondents ill u the !uestions ans'ers by themsel&es 'ithout

the resence o the inter&ie'er. (Donald D. Bergh/ 2@) It is ust oosite the ace6

to6ace inter&ie'. *yes o !uestions 'ill be both oen ended and close ended

!uestions. In a close ended !uestion a list o redetermined i"ed alternati&e ans'ers

'ill are gi&en the inter&ie'ee has to choose the ans'ers that are close or accurate to

their ans'ers and thoughts. In an oen ended !uestion there 'ill be reedom o the

inter&ie'ee to ans'er the !uestion as they 'ant them to. *hey 'ill be ro&ided sace

to 'rite their ans'ers. (>othari/ 211) *o a&oid comle"ity and data sorting hassle

the oen ended !uestions 'ill be less in numbers. ocus 'ill be on rearing close

ended !uestions. Questionnaire ha&e to be erect in length so that it does not be

bothering or being lengthy and also 'ill not be insuicient being short in length. *he

'ordings o the !uestionnaire has to be chosen 'ith caution so that it matches 'iththis sur&ey samle-s demograhics and be easy and interacti&e. 4rder o the !uestions

'ill be like easy and engaging !uestions on the ront and hectic and lengthy !uestions

at the bottom so that it ensure imortant !uestions are illed and inter&ie'ee gets

interested in illing the !uestions. (Donald D. Bergh/ 2@)

Questionnaire hels in determining the ans'ers rom the resondents 'ithout being

resent. It also hels in gathering the ans'ers easily around the &ariables. In this case/

the sur&ey samle 'ill be a medium large one. *o gather data easily rom them/ the

!uestionnaire 'ill hel more. (Bailey/ 2C) b) Inter&ie'ing: *o administer an inter&ie' there is too a need to reare !uestions. As

or this study the need or imromtu !uestions to co&er any ne'ly arisen matter isnot here/ the tye o !uestion set 'ill be structured in orm. All the !uestion to be

asked 'ill be set beore going to the resondents. ?o ne' !uestions or any !ueries

out o the !uestionnaire 'ill not be asked.*o conduct the inter&ie's t'o method 'ill be ollo'ed/ one is face-to-face interview

and the other one is the telephone interview. 7ainly it 'ill be a ace6to6ace

inter&ie'. I there is not enough resondent to be met 'ithin the time then telehone

inter&ie' 'ill be used.

Inter&ie's are the most eicient method or collecting inormation on a 'ide range o

issue in relati&ely short time 'ith much greater control o&er the conte"t 'ithin 'hich

!uestions are asked and ans'ers are gi&en. (Bailey/ 2C)2. Samling techni!ues:*here are t'o maor tyes o samling techni!ues. *here are:

robability samling and non6robability samling. (>. ?. >rishnas'amy/ 2@)?on6

robability samling is used 'hen there is no kno'n seciic robability or each

element o the oulation to be included in the samle. And robability samle counts or

a non+ero robability or e&ery element in the oulation. robability samle is

unbiased .or the research on consumer or sulier ercetion on the organi+ation/ the


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best 'ay to go or samling is to use Probability sampling. Besides being more

unbiased/ this method uses randomness as statistical control and makes it easy to

calculate the degree o accuracy o a robability samle in terms o its reresentati&eness.

(Bailey/ 2C)

Again in robability samling there are many tyes o samling techni!ues. %ike/ random

samling/ systematic samling/ stratiied samling/ cluster samling/ multihase

samling etc. In this assignment the best 'ay is to go or systematic sampling.5&en

though/ here a random samling 'ould be a good method to use as it ro&ides e!ual

robability or e&ery element to be included/ systematic samling is best to use. Because/

the oulation is large or this sur&ey and a large samle is also to be deduced rom it.

So/ it is better to use a simler 'ay to do it. And also systematic samling 'ill be more

recise and accurate than random samling.

Question 2

Discrete Data is 'here a clear searation bet'een the dierent ossible &alues is there. 5ither there 'ill be a inite number o ossible &alues/ or counting something. %ike number o eole/

number times eole &isit a Samsung store. *hese cannot be 2./or any decimal number as

counting eole cannot result as . or anything like that. ('''.shmoo.com/ n.d.)

#ontinuous data is 'here clear searation bet'een ossible &alues is absent. %ike/ time or

measurement. I 'e measure someoneEs height in centimeters 'e could get 1F cm/ or 1F.1

cm/ or 1F.1 cm (assuming 'e had a &ery accurate method o measurement). or any t'o

ossible &alues (say/ 1F cm and 1F1 cm)/ thereEs another ossible &alue bet'een them (1F.

cm). *hose e"aserating numbers can al'ays be broken do'n into smaller and smaller numbers.

In simle 'ords any number that can go into decimals is considered as continuous data.

('''.shmoo.com/ n.d.)

*he mean (or a&erage) is the most oular and 'ell kno'n measure o central tendency. It can be

used 'ith both discrete and continuous data/ although its use is most oten 'ith continuous data.

*he mean is e!ual to the sum o all the &alues in the data set di&ided by the number o &alues in

the data set. (Donald D. Bergh/ 2@)

*he median is the middle score or a set o data that has been arranged in order o magnitude.*he median is less aected by outliers and ske'ed data. rom the set o data the center data rom

arranging se!uentially is taken as the median. (Donald D. Bergh/ 2@)

*he mode is the most re!uent score in our data set. *he data that is ound more than one time in

the data set is the mode. In these data there is no mode. So/ it has been 'ritten as not

alicable( ?GA) (Donald D. Bergh/ 2@)


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5"amles o discrete and continuous data rom the chosen comany/ Samsung is gi&en belo'

and their mean/ mode and median is calculated:

Discrete Data (e"amle)

discrete data (mode, mean & median)

data (persons) 2@ 21

outheast !sia 3/$01 12/3F

"hina 0/C3 1F/23

outhwest !sia 1/C3$ $/CF

outh !merica 2/10F $/F0

#orth !merica 1/$F0 /$1$

$urope 1/2 $/F$$

"% 1/C 1/@

iddle $ast $2 3FC

!frica C2 21

'apan 0F 1$C

mean ,*+ ,*

mode .#/! .#/!

median 0, 1,2

7ean H (3/$010/C3 1/C3$ 2/10F 1/$F0 1/2 1/C $2 C2 0F)G1

H 2/F@

21 H (12/3F1F/23$/CF$/F0/$1$$/F$$1/@3FC211$C)G1

H 3/F02

7edian: data sets re6arranged

2@ 21

0F 1$C

C2 21

$2 3FC

1/C 1/@

1/$F0 /$1$

1/2 $/F$$

1/C3$ $/CF

2/10F $/F0

3/$01 12/3F

0/C3 1F/23

*he middle t'o data a&erage is taken as median:


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2@H (1/$F01/2)G2H1/333

21H (/$1$$/F$$)G2H$/00

7odeH there is no most re!uent data.

#ontinuous Data (e"amle)ere as an e"amle o continuous data inancial contribution to the society o Samsung is taken.

Jnit o measuring here is >;8 (South >orean currency)

3inancial "ontribution to ociety

7ean/ 21 H (1/ 11/F@$1/@$F/$FCF/@3013F2/0@)G0 H$3201.0

211 H (1/ /F@/00$3/CC@$/1$@20/C12$/$331/1$)G0 H [email protected]@

7edian: the data set re6arranged

21 211

1/1$

13F $/$33

2/0@ 20/C12$1/@ $/1$@

$F/$FC $3/CC@

F/@30 @/00

1/11/F@

1//F

*he middle data is taken as median:

continuous data (mode, mean & median)

data (in 456 trillion) 21 211

utual coe7istence

management

1//F

ocial welfare 1/11/F@ @/00

%nternational cooperation $1/@ $3/CC@"ulture, art $F/$FC $/1$@

!cademic e7change F/@30 20/C12

Preservation of the

environment

13F $/$33

ports 2/0@ 1/1$

Total 2/$@/@1 2/@$/F@3

mean 1082

0+2*8

+

mode .#/! .#/!median 10+22 101+


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21 H $1@

211 H $1$@

7odeH here in this data set there is no mode.

tandard 9eviation

A measure o the disersion o a set o data rom its mean. *he more sread aart the data/ the

higher the de&iation. Standard de&iation is calculated as the s!uare root o &ariance.

(In&estoedia/ 21)

ormula or Standard de&iation is:

ere standard de&iation or these t'o e"amles are:

Discrete data set:

+ 0 7-: (+) (7-:); 7-: (0)

,10 12/3F 2/$$ $/1/F.2 0/

,


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1*,1*< $/1$@ [email protected]@ [email protected] 611/C10 1$@F3C232

2*,+ 20/C12 22F0.3$ 1310F1 613/133 2FC1C

0* $/$33 6$312.F 11F33F2 6$C/F12 13@@CFC

,+2 1/1$ 6$130F.F @@0033@ 63/C21 1FFF$00$F0

summation @C3031@332 @CC23C0@

SDH σ =√1 /10∑i=1

N

(9847419442) H $0F.@CC0F

SDH σ =√1 /10∑i=1

N

(9882480795) H $00$.02

Question $*he 'orld is no' running on technology and its inno&ations. rom a &ery early time businesses

are using many tyes o alication sot'are to get their 'orks done or at least ha&e some hel

rom them. ?o'6a6days the use o sot'are in business organi+ations and its all sorts o

acti&ities/ has increased rooundly. *he reason behind it is that these sot'are gi&e managers

and decision makers an added ad&antage 'hen making any crucial decision. *hese sot'are are

aiding businessmen to take roer and calculated decisions 'ith roer udgment o the related

inormation and analy+ing data by measuring risk o the decisions to be taken.ere is a

resentation o recent acti&ity by Samsung by including ne' management sot'are. *hey

e"lain ho' this sot'are system hels them:

%ntegrated =lobal -$5P ystem "ase study (SamsungcKt/

213)

Samsung #K* #ororation adoted

Integrated lobal S65; System to

standardi+e business rocess

bet'een the head!uarters and

o&erseas bases and enhance risk

management acti&ities by sharing management inormation real6time. Integrated lobal S65;

System 'ill ser&e as a irm oundation or cororate6'ide management inno&ation o Samsung

#K* #ororation by enabling


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4becti&es

Integrated S65; System laid the ground'ork or achie&ing our cororate &ision o becoming


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7onitoring o global business erormance (Building 5IS) and real6time risk

management data sharing (Building 5;7S)

5"ected ;esults

Integrated S65; imlementation enabled eicient management and integrated risk

management/ thereby enhancing global cometiti&eness o Samsung #K* #ororation.

5nhanced lobal #ometiti&e6ness

• Integrated system imlementation ro&ided better seed and accuracy o decision6

making suort inormation

• System oundation enables more le"ible resonse to &arious business models

• 5limination o redundancy and reduced ossibility o mistake bet'een head oice

and o&erseas bases enhance reliability

5icient 7anagement

• Integrated roit and loss management bet'een head!uarters and o&erseas bases

• roitability analysis by business models

• 7ulti6aceted target management rame'ork through systemi+ed management

lanning

#ororate6'ide management o risks

• Standardi+edG modulari+ed business rocess enhances management transarency

• Systemi+ed monitoring unction increases eiciency o risk management

• Integrated risk management rame'ork bet'een head!uarters and o&erseas bases

is established

*Above Case collected from www.samsungcnt.com

%iterature re&ie'

#omle"ity o 'ork has increased. And also time has changed and need or decision suort

sot'are has increased gradually. In the mid61@@s/ many sot'are &endors in&ented ne' terms

associated 'ith decision suort. or some &endors/ decision suort sot'are 'as too general

or others/ it 'as associated 'ith ailed roects/ unrealistic e"ectations and ainul memories.


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o'e&er/ comanies continued to build comuteri+ed inormation systems to suort decision

makers. (@nsupported source type (9ocument3rom%nternetite) for source ttg08)

eole ha&e learnt to manage e"ectations. Decision suort systems dier/ and technology can

suort a 'ide range o decision6making tasks. *'o undamental remisesarethere associated

'ith comuteri+ed decision suort. irst/ comuters and inormation technology can hel eole make imortant decisions. Second/ comuteri+ed DSS assist and suort managers and

kee them connected to the decision6making loo. *he o&erriding goal is imro&ing decision6

making eecti&eness and eiciency/ not automating decisions. (@nsupported source type

(9ocument3rom%nternetite) for source ttg08)

4rgani+ations o the 'orld has been using sot'are in heling these sector:

• erormance monitoring.

• do'nload and analy+e sales data/ create reorts/

• Analy+e and e&aluate orecasting results.

• allocating resources/

• comaring budget to actual results/

• Drilling do'n to analy+e results/ roecting re&enues/ and e&aluating scenarios.

ractices in the ast oten guide comuteri+ed decision suort de&eloment more than theory

and general rinciles. So/ there is suicient lack o theories and rinciles 'hen it is about

decision suort sot'are.

*he ollo'ing set o roositions rom the 'ritings o the late ?obel %aureate 5conomist

erbert Simon orm an initial theory o decision suort. rom Simon-s classic book/

Administrative Behavior three roositionsha&e beendra'n. (@nsupported source type(9ocument3rom%nternetite) for source ttg08)

Proposition 0A I inormation stored in comuters is accessible'hen needed or making a

decision/ it can increase human rationality.

Proposition A Seciali+ation o decision6making unctions is largely deendent uon

de&eloing ade!uate channels o communication to and rom decision centers.

Proposition 1A 8hen a articular item o kno'ledge is needed reeatedly in decision making/ an

organi+ation can anticiate this need and/ by ro&iding the indi&idual 'ith this kno'ledge rior

to decision/ can e"tend his or her area o rationality. ro&iding this kno'ledge is articularly

imortant 'hen there are time limits on decisions

o' sot'are generated inormation hels:

An attempt to gure out some helps from softare generated information is

pro!ided "elo#


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(0) Time savings8Jsing sot'are has increased emloyee roducti&ity and more timely

inormation or decision making. *he time sa&ings that ha&e been documented rom using

comuteri+ed decision suort are oten substantial.

() $nhance effectiveness. Another ad&antage is imro&ed decision making eecti&eness and

better decisions. Decision !uality and decision making eecti&eness are hard to document andmeasure. Ad&ocates o building data 'arehouses identiy the ossibility o more and better

analysis that can imro&e decision making.

(1) "ost reduction. ;esearchers ha&e ound that sot'are generated inormation makes cost

sa&ing and labor sa&ings in making decisions and resulting in lo'er inrastructure or technology

costs.

() %ncrease decision ma?er satisfaction. Sot'are may reduce rustrations o decision makers/

create ercetions that better inormation is being used andGor creates ercetions that the

indi&idual is a MbetterM decision maker.

(2) %ncrease organiBational control. Data6dri&en business sot'are oten make business

transaction data a&ailable or erormance monitoring and any kind o !uerying. *his system

hel to get better icture o the business and also an u6to6date inormation on ho' all the

decisions are aying o. So/ there is a better control on the business acti&ities and inancials.

Studying rele&ant theory and history o the sot'are suort in decision making in business and

learning rom case study many ad&antages o using it could be ound. And thus/ 'e can reach to

the conclusion that sot'are generated inormation aid decision making or a business.

ReferencesUnsupported source type (DocumentFromInternetSite) for source ttg14.

$aile%& '. (2008) Methods of Social Research, 4th Edition& 4th edition& *imon and

*chuster&.

+onald +. $ergh& +.,.'.,. (200-) Research Methodology in Strategy and

Management & 5th edition& merald /roup u"lishing&.

n!estopedia (2015) www.investopedia.com& nline& A!aila"le#

http#.in!estopedia.comtermssstandardde!iation.asp 18 ,an 2015.

,anrain www. Janrain.com& nline& A!aila"le# http#6anrain.comresourcescase7

studiessamsung 1 ,an 2015.

'. 9. 'rishnasam%& A..*.:.:. (200-) Management Research Methodology:

Integration of Methods and Techni!es& earson ducation.

'othari& C.R. (2011) Research Methodology: Methods and Techni!es& 2nd edition&

9e Age nternational.

http://www.investopedia.com/terms/s/standarddeviation.asphttp://janrain.com/resources/case-studies/samsung/http://janrain.com/resources/case-studies/samsung/http://www.investopedia.com/terms/s/standarddeviation.asphttp://janrain.com/resources/case-studies/samsung/http://janrain.com/resources/case-studies/samsung/


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*amsung (2014) www.sams!ng.com& nline& A!aila"le#

http#.samsung.comina"outsamsung 1 ,an 2015.

*amsungc;t (2014) www.sams!ngcnt.com& nline& A!aila"le#

http#.samsungcnt.com9tradingco104030html.do 18 ,an 2015.


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Business Analysis Assignment by Jamil

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