big data ในภาครัฐ - national assembly of...

17

Upload: haminh

Post on 01-Apr-2019

237 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data
Page 2: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

Academic Focus

5uaifia 2559

uwi1 aniwJ~esi Raiuwuiu ~ 6 n ~ l i 6 1 (Big Data)"

ni.i~~n$u%ud "dnmih (Big Data)"

dsdutlrjoin ~ d n n i h (Big Data)"

nisdssqna+diu "6nn761 (Bis

Data)" h n i ~ ? ? duuiu?'uia~du~ciu 1ldnm761 (Big Data)"

"dnnih (Big Data)" Iu?iuia oiiddsarwm

- aw~'ow5ni - 5dnqv - ?a48 - Zu

.y

t ~ss~ iu6 iun~ )~u iu uOnmi6i (Big Data)" %udszb~flt~u

"Big Data" ~ I R % d9

nsruanissdduuuda;l6iur~mIuiaSluil~~~u r ~ u n i . i s d d u u w ' i u ~ ~ i ~ q ~ ~ 1 ~ n o a ~ ~ 1 z ~ ~ n ~ a u $ d 6 i u r~lsqiieuazkmuuoalan daordaua~munsd~iooqn'ns$a n 1 n ~ ~ s u a z n i m ~ o n ~ u o d i a ~ ~ i n ~ d ~ a l d l 6 6auuaIUYu r ~ d u u u ~ a a d a r v i i ~ ~ i nnoa~nsda~oauiuuna~u~iou

V d d lunis5uiinPianisrda"uuuda~lflm~sawq~ s&nseiia q ~I~I~~$ILMPI~U~R~ (IT) U?~SI$A~IBL~OW~~&J~I~ n'irQwiuooaoan'nslGsiimmaiuasman qndsa samda u a a ~ ~ ~ l n o L i i - l i i d s a i i w f i n i w imurawiaboyanis 1irijuciulue~R'nsd~o~s~u<iuauuinlunim5"~ dn ~i~~~iuiCm~~~oLii~ii~zuursaza~i~79l~saa~iardoulu~ m~iu~uw"us 'n 'u~o~Coya~~a~in is3~nsizsR's~~~d° iu i l~ ~ s a ~ u a r j I u ~ i u v i i a 7 rnwi=iiGu~as~unis::io a u d s z u i ~ ~ u a i ~ d i o a 4 m ~ i i u uar:n'iCmniunai$ n 5 1 ~ u i w i ~ Q u a ~ < i u ~ u u ~ i ~ i a u a ~ u i n d ~ ~ n ~ u i ~ $4

riniainiss:unii 118nni6i (Bi9 Data)"

@hw~duii "6nmiii (Big Data)" s~udoqdYln o~R"nsna~lGnaiuaul~] r~u~s~wo~ias~a~au winoan'ns Pi id 7 ~ ~ n ~ n i ~ ~ a r n i ~ l r ~ n a u ~ m s ~ r n ~ n s r a z ~ p d u i a u l ~ 3nwi~i~16nmi62 (Big Data)" uil~dra~ualjw"muioan'ns o a n ' n s s r n ~ i ~ u o ~ o ~ ~ s i i u ~ o n i a d o z ~ ~ ~ ~ z z I u ~ ~ d ~ ~ i n boyaiiuquurninia ~1naiianu1oder~-naiioqn7s dszqnhIB.riuudnmdi Bis Data1' lunin?; s$os?lu r~uani~hin~~~ui~.a"w"( i~uioa6nsdo~d

Page 3: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

d d l oinr?; World Economic Forum 20 1 1 mYndia6~aawai "doga6~Vwfwd~~d~rs'7w79

rrrr~~~~6iordu6r5u~n"wd~sr"~~~ ~ ~ a ~ o i n i i b y n d r ~ u a $ o ~ n " u n i s R i ~ S u ~ s i i o i i ~ q i id iu im~~uuin tu adidwir~m ~ i n n a i u i i i a ~ r i i r ~ a a i ~ ~ ~ i ~ n i s ~ ~ ~ w n ~ u ~ a G a i s a u ~ ~ m ~ u n i s i i r ~ u ~ i u n i s ~ m i a ~ a a i s sr~~id~nnins~n'idium"aun"u s a ~ ~ i d u i ~ w ~ q n R " i b b a a s a ~ ~ i d u ~ ~ ~ ~ ~ i ~ a u n " u b a iaudiuim ~ ~ a ~ i ~ a y n d ~ ~ m ~ u ~ r u u ~ ~ ~ m l u r ~ d a ~ a " u n'1tiiu9a~rjudsu1mn7srda~1I~?ii4bZu5d3u1~ 5 ~ I U

Mj$a ~ Q I U ~ U L ~ " 133 riiuudnn 5l~ua'~nda 247 riu6iuaCuyna"u uaadsauim?auaa 80 ~$uar~durua 1un.a. 2010 dssu i~n is i iCana iu~d~e i i u~dnsdm' i~ q imuuyvu'dssuiru 193,000 bana iu io~u i i uaalu n . ~ . 2012 yn q ~odiuboyaoariu6u 5 $utiiuflnalun"Lu n.t=i.

d d d 2013 yn q 10 uifihyaea~$u$u 5 ~u6iuAnalu6 unayn 1 ~alu~5niswtm$oyauu3u~masbuliilw aiuisoussqajluuciuZim%i6a 7 Gu6iuuwu ~ ~ o ~ a ~ ~ c i u ~ i ~ ~ ~ ~ i i d u u i ~ u ~ n " u ~ ~ n ~ i ~ ~ " ~ ~ i r a b a a i b s a c i i i ~ 7 ~ v i i (disau nuaiqm6, 2557) ~i7~Caya~i imtua(i1diab$a~ 5am~$a ~na$a~n~uyn~~v id ou tynd

d d 4 ~ b n ~ ~ d ~ ~ i ~ ~ 1 ~ ~ i ~ ~ 9 ~ i t = i i ~ b e ] ~ ~ ~ ' b n " n " ~ ~ ~ i ~ ~ ~ ~ $ ~ ~ (An Ocean of Data) i c i i l G ~ f l m ~ i f i w v i

.y

"~nmi61 (Big Data)" t u u i n i s ~ f i ~ a 1 f i ~ " u u a a 1 . i i ~ s a 0 u ~ ~ o i n r w ~ 1 u ~ a ~ ~ 6 n m i ~ i (Big Data)''

i;ob$unaiudi~~~~d~au~ynadn'nsM"dnin~~b~aa~siio1udsamfl~wu~ir~u6ad~ibuunis ~ d n d u Bm~laiuniuis~lunisu~~~un"umaimai~7uu~~a~maili l lan ~ ~ o d ~ w a 8 c a o i u a n i s ~ ~ 4 ~ ~ u y n i i u v a ~ dsarvlfllu8dnulnn uaa~laiu~$ua~aatllsa~inslwuluauinm ~ ~ n d s r u ~ 1 i R i ~ S u n i s 6 a ~ ~ ~ ~ n m i 6 1 (Eli3 Data)" ~ o a ~ ~ b ~ u ~ n n i a u n a f i n u ~ i w ~ ~ d n i s $ m u i ~ s a b w f l

(1tnmi6i (Big Data)" ~,$u 1 l u 10 da~dduuua~riu~wnOuOaG~uau~n~sl (IT) $lanuaa dsabwdwu6a~b?uuibraab$iIo bwnfiu~a~~uouinm M"dwum 10 dad l6rrr-i bwnlula8 cloud1, Big

~a ta* , 4 ~ ~ , saas4, ICT security5, Mobile Banking6, ~ - ~ o m r n e r c e ~ , A I ~ , Smart ~ e v i c e s ~ bbaa IoT!'

i6 l o rwdulnG~~ua~hnaiu~i iu~wnlula~~i$yna~hnslu~ma~sv$ 21 oa6adGnaiulaTi(0 Suuf uaaCiuiimuia~n'ns da~~~~.j;mntp uaao~n'nshrnnj

1 Cloud G o Cloud Computing 60 u5nirdnrounqu&ni~~~$~i5ad~::uaawa r!hul~flu$oya 2 f i g Data iionfiunihya daiuito~iui~~ruuua::l+~s::O~~u"1n" 3 4G l o szuu 4G RosruudoaiilLiu~aiu~4aqa~nd 4 ~a~~u.rruudaiui~~~~uaaCo~aIn"~~auin qaq~$a 100

Mbps 4 SaaS G o "Software as a Service" d o n i ~ ~ d u u u n i ~ ~ i ~ ' ~ ~ i ] ~ m ' ~ a i lmuliiUjn75GjllIM7Quniwiuia ~ ~ U L ~ O < L $ W 5 ICT Security 40 ~ a i u ~ u ~ a d a a ~ ~ ~ ~ u u a i ~ a u ~ ~ ~ 6 Mobile Banking 40 ~~un l3r i~ lu i~duuun l51~"~~n l3~ ia 7 uoa Online Banking buoonuuuuilMr~aiuln" dlu

~u~woi~$n~usii~ao<uuGoBo 7 E-Commerce do ni~h~iiu~on~sunia"~fi"diudoi5tdnnsoiinn' nisl+mouGa~~o< ~wnlu~niinisau~wn n1.r

~o~I~u~::~uLMo<L$~~w 8 A I M ~ E I Artificial Intelligence 10 ~ : : U U ~ Q Q I ~ ~ W a i ~ l 3 ~ ~ i ~ l ~ ~ ~ o ~ l 9 ~ a m ~ ~ a n i ~ ' t c ; i ~ ~ a ~ R a i ~ i l ' i d i i U ~ l ~

(LM$ ZmuaaS~n~wauuuuy~~16 9 Smart Devices ~ o q d n ~ d d o a i r ~ ~ o ~ ~ " s o ~ ~ ~ ~ ~ w v i ~ i l a i m n i i ~ ~ a d ( w v i ~ 3 ~ d ~ d u Smartphone, Tablet L&d~u

lo IOT 1470 Internet of Things ni3dd~eiia 1 O n ~ ~ a u O ~ a q ~ a n ~ u m o l ~ i l ~ vliliiUjn75GjllIM7Quyw6aiuiro~ani~nauquni~~~aiu qdnadeiia 1 t i iun ia~~5odiu~u~ao<~$m du nis~9m-9n qdn3d~nioalar*rfi rovuri bshGGoBo ~n'haiio don13 rn~oado~ian13~nms oini3 6ut%u ~~~o.jl~u~~mds::il'i?"uoii~ 1 ~ I U L A ~ E ) ~ I U ~ ~ L B ~ ~ ] < L ~ ~ ~9uC;iu

Page 4: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

fiaiuruiv udnmi8il (Big Data)"

~ ~ d n n i i i (Biq Data)'' ~ ~ ~ u ~ r ~ p i ~ u i u n a i u i i ~ ~ n y a d 5 u i ~ u ~ i w i a ~ s i i ~ u upi&r5udidla" o~uiun'nvmaaet~o~adn~~u~dr~uud'~1ain~aiu uaaiiduioinuvldtii~ 7 boinsauunnusa~mnid Ia"diulundrinisiic 7 inln4Cns qdnsN'dnauquiiauszuunnu~armoi r i u~aa i i i c q d a h t h y a u a z ~ ~ i i u h y a m a n n r a a i n i i ~ i n ~ ~ o ~ q~nsN'~~adouduaziln~~nu~flunisinn'odoaisii~n"uynd ymaai $ n y a e i n u ~ d ~ ~ o ~ a k n d i a b i i m ~ u l u ~ n q i u i i h l a n #dludn'idiuuazlu8imdsz$ia"u uniYaniiq rpiu nis$n5u~ii(u(iiaassw3u61 y n n ~ ~ d ~ n " 5 8 ~ ~ n u ~ u n ~ u ~ j ; i ~ a s s w ~ u n " i d ~ ~ a u ~ 8 u

v d v 2 f i ~ t ~ u i o i n n i s a u n u s ~ ~ u m i w ~ n n i a o ~ u ~ u i u i i j l i i ~ n i s a ~ i ~ ~ a : ~ n ~ i i u ~ n y a n i s ~ n u i u ~ u ~ i r~nhru ' ts iums una~n~adr i ik~nr ju~na~ luszuunouGa~mniun~Gi~assw~un" i r~~~~~u humz

" d4 d~a~anii~it~ssw3u6i~az~iu6id~nuinuiuw"b$szuunouGa~mo~unissJ"u~"nCmr8u ynnkvlunis dr$nnaiu d~niwciiu dai~~wu1~rwu~rwiejiudnK~nunnuIapdc(n~~ 7 lulanusctiur~oi~iim bya lX ~ n a i i ~ CuirMn u a z o ' n ~ i i u a a ~ n ~ a ~ u i i i ~ b n j o ~ l n ~ n ~ o ~ w ~ ~ l u b a n i;l&yadaha uazQ~iiuii~duuu

4 C u MainMaiu u~9unnaia baud niwciiu niwbnadnu~~a m"9tu ~wnl~a~aisaubwmM"d%~iim~bai prndn'uai u a r s a u u ~ n ~ n i i u Z ~ i n ~ ~ ~ u i ( p l i u n i s ~ ~ i u u ~ ~ ~ a ~ u n ~ . i i o y a ~ ~ i i n $ u ~ d n t i i i i n a ~ u a ~ u ~ s s ~ ~ u n ~ s ~ d ° ~ $nyaui;lndi?uii~nsiz~76 a ' d ~ w ~ 1 u ~ a 8 ~ o ~ ~ a i a i s n m " ~ ~ n y a b ~ a ' i ~ ~ d n ~ i 1 d ~ b n s i z 9 ~ ~ ~ n ~ i ~ ~ 1 u n i u 6auandirbai

N

Onnih (Biq Data) Za~~uW"muinisdiounnu~oinna"~~oya~~aznisw"i~sEo~ruuai~aain (Business lntelliqence: BI) icns6nisqsiiouuim1~~iidn"bp;inaiuau~o b~nilainiinaiub~ua$odn"unis d u w a n ' ~ l s u a : a h ~ n a ~ u ~ X ~ s ~ ~ ~ u ~ ~ ~ n ~ ~ ~ ~ i ~ . u " u l G ~ f i ~ ~ i i ~ l ~ ~ ~ ~ ~ ~ ~ ~ ~ t n n i i i (Biq Data)" ~ i n h y a

cd P1 N

d ~ u i m u ~ i m i a d o a A n i s l 6 ~ u o i n d o ~ w i ~ i i ~ 7 a iu isnu ' iu i i~ns ia~w~suna ' i uOnuouzIaflnn' d d

(Big Analytic)" a ~ d ~ n i s d i m n Q n o i n ~ i a m i i i ~ q ~ d u a i i i B ~ ~ i d s z 1 v i ~Quiu u i i i ~ i i u n i s i ~ n s i s ~ ~ n ~ a ~ i u i ~ u ~ i m i a ~ ~ n a i u ~ ~ u n a i u ~ ~ n ~ ~ n i s ~ i ~ ~ ~ ~ ~ s z ~ u ~ u ~ ~ (rlizau nuaiyi, 2557)

iaf$finrr.iriiuii t n n i i i (Biq Data)" ~ ind in isd ru y n m ~ f l u ~ i a u d i u n i ~ ~ , s o z w " i ~ ~ ~ ~ a u ~ i u n i n ~ ~ dP1 d ZnisCmiiu dsauaawa uasi~nnrGinyawn n ~ ~ ~ 6 ~ ~ ~ ~ ~ n ~ ~ ~ b d ~ i 1 ~ ~ n 1 ~ w " ~ ~ i d i 9 d ~ ~ n i 9 1 ~ m 3 d

r iunaiu6iocnisu~cdsz~i~u~~azn~u~di~uiu I~ni i~ i idsz3~"sniwuin~~~u

ni.r~8mduao~ "dna i i i (Bis Data)"

ms~i in tuuoq~~6nni i i (Biq Data)'' $nyauuinl~qj ik ~$unis~iin$uoinnisla"8imdniun~ dszainslanluynw~1ass~d 21 M?a'~vlnIula~nisdnai~~na~n Cya i i c 7 o~gn~Auriun'nIiynoh o i n ~ ~ i u n ~ ~ ~ n i s ~ d s u n s u w " b ~ u ~ n i s ~ n u d a u ~ ~ ~ o z r $ ~ n i s ~ ~ ; i u ~ n i s d bdu Facebook , Free Ernail.

e P1w

uaadulan'$nundnoulari 14uh '~6nn i i i (Biz Data)'' oduanvmr8o 3 i (3Vs) Rn 1) Volume ~oya~rmlsilniiuqs~oiid~ui~~~uuin$uoi~9iobtndLbazozu"dndb$u~i~dmslu

Indsarinis~dncii~siiood 2) Velocity $nyniinis~dduuu~acoriissanb$a ~ ~ n ~ o i n d o c w i t l u n i s i n i o d o a i s d

2 ~a inmiuu in$u bdu Cnyanisanuiu Cyanisf iu $nyaoinqdnsdJuraoin'i~ 1 nislfiwrfiwfi liln'1lG$oyan"riin8urdduub~da~lXori1dsam~$a

Page 5: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

crz Y

3) Variety $oqaijnaiu~nin~aiuuin$u baqnd~iiuau"asriunisii~iiu~sii~unc"uaqaSlii IPIIPR~IP L ~ U $aqnnis~&a~u61 ba~aBun"in;~n~d ~ h i u ~~nrUYayadIii~nsaaf1~ L ~ U ~aqnd ~nn"iuan.r~aiurinduuu Facebook unr Twitter ~fluiu

dsduau'oin ~ ~ b n n i i i (Bis Data)"

- nirr i i~~~d~dvau?uni~q~i l~ i~nss81~id q d i ~ ~ u d s r l u a u ' a a ~ ~ ~ ~ n n i i i (Big Data)' 'luninqsiio nisn"inisasvlu#ur4udsalua6

w

~muns~d~~rrnaumsorr i iGaqa~~nmi&i (Big Data)" r~~ i$ua i i~ns i r i~~adsr lua~dd~~n isw" iqs i i o ~3nrn~tuandiafinuald kc

w

- qmm~nssu6idBn ~ 1 ~ 1 ~ 0 ~ 1 " ~ ~ ~ l h (Big Data)" uirdai~nsir~naiuiadnis"uadBnn"i ~ ~ a w " i l M ' ~ i u ~ a ~ n " ~ a a ~ n 6 i s a u m " i u (customer 360) ~ i o n i s ~ t i a n 4 u ~ n d i (Customer

Segmentation) iiui~muwunismnin aSi~unu~d~mauaua~iawqinssunisqdFn~1 ui lnnd diu~dduuadmaam~aai l ~ ~ ~ ~ n Q n 6 i r $ i u i C u c j i ~ l ~ a a ~ u i n ~ q m luaniwnisutic~ud~c uariida.rnia i u q l v l i 7 ~$iui~4unia~8anuin$u

- qplai~nssulnsnuuinu lfinisirn.riaM'rn?a.liiul~s8ww'~n~aud i~nsiaM'nislGiuaa~ 8 6 1 n i s h R s i r ~ u u a ~ h n i s ~ i u ~ i u " u a d ~ n ~ i (Customer Churn) u a ~ i r a i h q a ~ d ~ o u ~ m b ~ u n i s IiiuinisZinuinuiu Z i n ~ ~ ~ ~ ~ i u i ~ o i i ~ q a u i ~ ~ n s i r i dacnaiuhn;ldaamu 'LM"rfludsrk.~au'n"u

d ~n6iilunraaaisisorrlm"Zinm"au

- qmai~nssunisiju i~nsirM'nis;inln;nju msnimnisN'naiu&a~nisva~a,nn"i nisuticnt$ d ~ n i i unsm~i~nsi~M'naiurau~"ua~~n61

- ~ i u i n u i ~ l i a m < u a a ~ ~ n f i u I a ~ L ~ U n i s w u i n s ~ ~ l i n i ~ nisninnisd~aqaZi ~ j a n i s i~ns i r i $ayno in~4u~ga i i i d q nisl$~iuw&ciu

- ~iun'iunisnnin a i o ~ i u i r ~ a i ~ n s i r ~ b a y a o i n ~ ~ ? a ~ i u k n u a a u l a u ' (Social Media)

n i s i r n s ~ ~ i G a q n d ~ m ~ ~ ~ w n " i w ~ a u u s u ~ " u a ~ w ~ a u ~ i u (Sentiment Analysis) nis6uiu~i~nfl~a.i 7 uulanaaula6

- dium"iusJ"ub~d ~?anis'~/ad~dua b~unisibnsir~nsrbbanaiuiiuu talk of the town %u~bdaa dcr l

n-juuinisacuaau~dualuan"~ $aqn naiufln~iu lu l~~i iuni i~f fu ~5uEiaul~tj ~~aCmlds~nsu113a~iu d n i ~ ~ ~ ~ ~ u a ~ l ~ l f l m " m ~ ~ n " ~ ~ a ~ ~ a ~ l ~ ~ s ~ ~ ~ ~ a ~ m luuiardu d a w a i ~ n i j u ~ ~ i w u i u d v i i ~ n " u I ~

n i s i i ~ ~ d n m i i i (Biz Data)" uil~dsrluau'niahugsh ~ ~ u n i s i i ~ ~ a 1 d i r n s i r ~ b d a ' v 1 1 n ? i ~ k d n i s ~ u ~ i ~ ~ i ~ ? a n i s u ~ n i s ~ u ~ d ~ ~ u u ~ ~ i 7 ~M'msa~unaiubiadnisvad$~ 8dvia1dd

1) ah~yaiini.sqsiio 2) nis i i$aya~~d~$uuidaua~ua~unis~m~u~o~?ai iu ia~ i~$a~m"~d~uuwianis~~. l i~ .u"u 3) n isu ' i~a~a~~d i$uu1d7uds~~ i rus~urna iunrdsr~~u~udsru io r i i l~d iuuaan i~w" i

ksdni4w.i q lfia'~Rus5unisd jddiuoid M~adauk~wiw~a~adn"u~~widoab?m$u~u~nsdnis a M i

4) n1s~1$aqa~~di#u~ida~1unisi~nsi~~~daii~daiauwunismaimai~~~wunir~~~a3unis Y

OYVlii~Sdiu nisaia~wu~~~.jnvaanisw"i~iuluauinm ~ 3 a a i o o ~ d i l M Y ~ f l m q s f l o l ~ i q Bu i n? una 5) n ~ s ~ ~ ~ a q a ~ ~ d i $ u u i w " i l , ~ ~ i i m a ~ i u n i s d n i s ~ ~ . l i ~ ~ u s a ~ ~ i ~ a a ~ n s ~ s i i i l d w " i g s i i o ~ f f u a n " u

Page 6: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

Y Y 9 daoad.rwa~iaiu5lnn~~aaw"i lwcju.ilnPrniuisn~~az~CiloCoya 8u61 ;luaznisu'smsuaauiaaaaR'ns ' dad w - & qsiio w"i~~~uibniinla~Eian~~wmwqm ~bazviupio~vqnist-i ~ 8 u k (yiio gaunns, 2559)

nisdszqn~~"%B~iu 6'8npl141 (Big Data)" ?unin% milQdsduaciqin udnmiii (Big Data)" tunin~siiod~8u~sdua~'~mums~lunis~d°i~oyaui

wiciirThnCi ~~azGmuiwfimniu4n"b9;ims~n"unaiu(3ia~nis~~azwqinssu(u3lnn uaz~Rnw$m5mw"bwd (Enabling New Products)

luninY2<u~qiinisl.iidszFuaCo7n a " ~ n m i i i (Big Data)" ~ouuida~d~uu~iuern"uninqsii~ nis~<dsa~ualioini~~nmi(3ii (Big Data)" u~aninY~~onisQiuiGmuinisu3nisninY~lGms~rsiana1u i o~n isaoadsaa iau lw" i idsz~w~niw~~~du uaz~~qudssuiolhuas ~ d u u' iu i ibnnz~ (Analytical

use) $o+ammo~n~n ~ i i ~ i u i ~ u ~ i ~ i a ~~olG~Ciunaiu~~doua~a"no1n~n~a~msaoa"m~1"iuauuin uuIan n ' j m ~ ~ ~ i u u amii uaaqu uiums3~oini~ ~ a z ~ u a a u l u u v i n q ~ ~ $a%a<iuauuvita1iaa6Yu

C W 9 rvdid u ' ~ u i ~ n i s w u i n s d n i n i ~ d u l i u ~ i ~ ~ u s i u B a ~ u ~ luhuGuqtaIiamsunanui~l~~miwui~~u oomstGuqnssu dn~i~~wuduosiitii8imiiq 1 uuIan d ~ ~ i ~ ~ ~ n i . r ~ i u w u u i ' ~ w a . i q ~8u;u

nisdi~el%~dsz~~asd'6iunisu~~is~mnis~usssua~i L$U 1) ni sJ i~a~a5u ldo~nss su"(1 i i ~ ~ ~ n i s ~ ~ n s ~ ~ ~ r ~ n " i a w ~ i n i s ~ m G i ~ u ~ m a ~aani~n<id

i imn~ i rm i~ isn~ i~nau~a~moi~Ao~~1ddsa~nm"bQ ~ d u 1u~ma~a~~niunisOidmima'i0a~3u~umsiu Ldu6u

2) nisu'iCaya ~vd i6u uid?udqci8nis~ud~~n"b~~~na"u~d~nniw~tiu imula'~nnIulai a n n u ~ ~ t a ~ d ~ & i a n ~ s m s a o a " m ~ a u C o ~ a ~ ~ ~ u ~ o ~ s ~ " u nis~~da~Caya~8unirr nizirnsizi nisnmaas u a a n i s ~ ' i u i u d n n i s ~ ~ u ~ o ~ u ~ a ~ ~ n ~ i

3 3) m s ~ i ~ o ~ a u i ~ ~ i . r u ~ m n s s u ~ ~ a z n a i u ~ w " u ~ i u k u ~ ~ ~ i a n i s a < i ~ ~ n s ~ n ~ i ~ w " u ~ i u nisduvj

u~uliniYu~nniwdu uazna iu~~8usau~~~n3a4 iuw"u~ iu lun is~wu~w~~a~aCi~6u LLaz

4) nisu'iCayarwdi6uuisausaun5"i~~8u~iu~ayauuimlw~~~azn~sdYud~~ giunaiuf 4 n?"iau-di.r ~ $ a ~ m ~ u u f i ~ a z m a u n u a ~ u a ~ ~ ~ n u ~aan~iu(3iaqnisuaqlan s--~uFh%iPii~ 7 lu6 iu

.y

iham6au asaiiio knuuaau y u a i i 1,8u(3iu oo~fiul6di dszIuacivo;lnisJii1dnmi6i (Big Data)" Y W dd

uilau~unnuinuiuuwlm ~q<u G~6a~~m~uuw<ouJiCaya "8nn i i i (Bis Data)" uil%al&fln dszIusCrrcqmuazlG~iim~fC!wiCau~ym

nlsdszqniIQqlu "?inn161 (Big Data)" ' ~ u n i n ~ ~ 6 u a i u i s o ~ i u i ~ ~ ~ ~ u 1 ~ u ~ a i u 1 vqiau~iu L$U 6iuaisisolqu ~ i u i n u i ~ i ~ v - < tiiunaiu~un9 61unlsCiu 6~unisuinisdszaiau 61u~namsnssu 6iunisisrydlnn vio6iunuuinu a i i ~ d u i~ns~zi$o~nyanisosios i~nnzcl 'bya ~~aan i fQwi r~az i la~n"un is~ i imo ia~ inssu i~nsiz iCo~a6iuais is~qu ~ d u uualrirruo.s(dqu nis kaiwuiuia w?anisfi dmssuim i ~ n s ~ z ~ $ a ~ n 6 i u & urnis& diuiolclu uasnid&.h j~nsizcl' Coyanisl$'LvMi ciinislQwkqiu i ~ n s i z i ~ a y a n i s ~ ~ i s ~ a z n a i u G u ~ ~ p i i ~ q i~nsizcl'$a%a~Cbo m s a o n a u n i s ~ ~ u n i ~ o ~ d s z a i a u ~ ~ o u 5 ~ ~ G i ~ 5 " i u i 1

uanoind &niu~sou'iuil~un"iunisl~fiu~udszui~~~azb"susiul6ii~ q uo.min?~lGii dsrin~niwuin$ul;il~n6au "dnni(3ii (Big Data)" ezdauninnisduasi~nsizfi6udu~1u1n$u

Ye91 3 nin~ga iu~sndo~msaon~u~~yan is~ . i i~udszu i~~mmu~~u ~ ' i ~ ~ n i n ~ o z l i s ~ u l ~ u i n d u v i n l i n i s ~ l " ~

Page 7: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

"dnmiii (Big Data))' uila*?rnsiaviCoyanis~AuniGn"ium'i~ 7 ~ i i i ~ a i u ~ n 6 o d ~ ~ u d n dsaaiau~:: d 4 2 ln"?unisuin~snnuuluynn"iu ~ d u aiuisoui i i l~wiosim nii l~'uinismsisruquoii~~a~~ nis

442 ~du~nisnis isqd~nnM"i~w"dsaaiau~~~niw~?m~muu ~ d u ~ 6 u n a i u d a n n ~ u ~ n u n i s ? r n ~ i a ~ d 4 2

rrualu"usiayinssu n i s i i q u n i w ~ m u u o i n n i s ? ~ n s i ~ ~ $ o y a ~ i s i s ~ q u aasrAmnaiuiauiioriu 2'

ninrnnauuinau~innisJiCo~aldIQ oaii$otalwu' 1 uin~ueindsaaiau (Crowdsourcing) wio #o+a~inqdmd Internet of Things ~ ~ u n i s a i i ~ ~ n i n s r ~ m a ~ r i u a a i ~ ~ i u C a ~ a u i n d u (suaiR 4u UUW', 2559)

u ~ u u i u i ~ u i a d u a f i ~dnricr.1 (Biz Data)"

$uiarm~on dsrgni o'unanai uiunY~uum3n"wa'nCunin?~~nai%1b~u~5n miu?iiUYiPfUr Jsa~wnlwug w.n. 2558-2563 l n u i i ~ ~ d s s e s d ~ ~ o d d ~ ~ u m a i u " h n c 6 4 6 4 ua r i h~u " un;ldssnn iinisd7u~da"uuninY~~nisr$u7~uia5~~a a'.r~~uw~jlugwsniamiwa"nuo~ uwu5 i6~w" rnns~~ i i~ l u a r k ~ u rraar4udaudi~~lunisunsaCu~~uu5nisnin~~~maiu~6u~5~ n'ilGiinaiuo'x.?Ju&na~ wa"nKunin?~~nirr$uQ~uia5~Ca dijnis~sruinis.iawa'i~wdau~iu ~ ~ ~ I ~ ~ I ~ ~ U P ~ U L L U U ~ O Q ~ ~ =

I ~ u ~ n i i l n u ~ ~ s a a i ~ u ~ ~ u ~ u U ' n a i ~ u a r ~ u ~ ~ d e u ~ ~ ~ i i m n i s ~ ~ d u u u ~ a ~ I m " o i i ~ ~ r W " o ' i ~ Aiu'nciu7~uiaS~n"nwsoOnSi (odR'nisuwiau)w?e Electronic Government Agency

(Public Organization) (EGA) ~ ~ u o d ~ n i s u ~ i a u u o ~ d s a r ~ n ~ ~ u n i u ~ $ n i s ~ i ~ ~ u a u o d nsrnsa;nnnlu~au'aisau~~mb~aanisdoais dsaninuwudi " d n m i ~ i i (Big Data)" b u a i d aoldmuns.iurcl?ouh Lmiuuhfdsauu w.fl.2560 riln Big Data as a Service bhvlriaudiu ninY$KLB uaaniuI6uluuiuu"nimY~l~ueaiiuims~iuCoya~m~~uan"u Iumi(Gu5nisdsaaim

n i s ~ ~ u i ~ M ' ~ i i m n i s ~ ~ # o ~ a u ~ i f l i a w i o Big Data undninh oaiilddnisysruinisn"iu InsmiicCoqa nis<nnisGoya n i s i r n s i r M ' ~ i q ~ r i i o i n i ~ y a nis~a'onl~rn$ocdeWd3maiu ~wuiaau uaad~raSulm'rKnni~uSwisoSInisiou,auotnini~lw~6dsaluau'qsqnou'iti i dsriinsniw i ~ ~ u ~ ~ ~ i ~ ~ ~ u ~ i u n i ~ ~ ~ w i o u o a ~ ~ ~ n i s ~ ~ ~ ~ ~ ~ u u i o y a ~ u ~ ~ ~ u u ~ ~ ~ ~ ~ ~ $ 8

a ~ i a ~ n ~ n a u ' o ~ u n i s u i n i s a i s i s r u a ~ ~ ~ 7 d d i 6 Q ~ o ~ d o d a u a ~ i ~ ~ a i u ~ d i ~ ~ a r r a r s s s u i i i u i a voswod'au~iu I9RYdsamauS~auS'aulunis~auo~~ua&iuuIu~iu r ~ a a m s a ~ n o . u n i s w " i ~ i u u o ~ nin5'3 Ypia~$tr$udsaluau' ~ d o u ~ a r d u n i w s a u u o a r ~ s ~ ~ n " e r ~ a a r ~ u d s a ~ ~ ~ n i ~ l u n i s ~ ~ w u i n a i u a i u i s o n i c ~ i u 1 i ~ 7 ~~i 'o l f lun is~rs iau 'un 'v i i ; ldsr~nnlu~a$lanm'o ld ( M ~ J W ~ l f l ~ t l 5 j ~ L W i I , 2558)

Y uonoinu a i n n i ~ ~ B o u d s r m ~ n n i w ~ m " us.suiuaui?n eiqni4M'nd sncuiun?zuumi dw'iuui Imudirhaiuquial~innsoirnii lQiussq#omnnciaun'u ~ ~ 6 ~ 8 ~ 6 a ~ m o f ~ a a u ~ n i s 6iuu"n~adiaaisuw'daim' ~ n i u r i l A w?o National Computing and Information Service

(NCIS) lmul&asuiu1J"uw'ndomna~iaun"uIufla$o Biz Data for e-Government w?o nis<mnis CoyauuimIwojdiw?unin?~ l m u 8 ~ y i o a ~ n i u ~ ~ u s a u a ~ a a i 3 0 naiuiauu'ouetaocwdau~iu o inhuuaa~niwa6nfd i f o a v h l $ Big Data usdnins'glnu~naiu~isu~dsssuuintu rwsia ~ n i w ~ 6 d w a i u 1 ~ s ~ n i s $ ~ ~ u ~ i b ~ u n i s ~ ~ ~ bbaa EGA ~ ~ 1 a ~ i ~ n s ~ n i s ~ w a ' i u " u u i w n a o d ~ ~ n " u d 5 : : ~ l l f l l ~ ~ ~ ~ u ~ ~ ~ ~ ~ a n a i u ~ w u i a a u ~ ~ ~ ~ M " I I ~ ~ ~ ? U ~ I U ? ~ ~ ~ ~ ~ W U ~ ~ ~ I ~ ~ ' ~ ~ M ~ ~ U ~ ~ ~ ~ ~ rdu~ln"oiociic~iinds~~w5niw~~qm (li~oCuiiohuia~niw3~Bu~$ulo; r i i d n m ~ i , 2559)

Page 8: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

- ~dbUU%o4 Government Big Data as a Service %ophU l u w.n. 2560 ~ i a u ~ i u s i a n i s ~ a ; l l n u o a ~ B i ~ n i s l $ ~ n n l u l a u " "8nniAi (Big Data)"

~ ? a n i s ~ ~ $ a ~ u w i n i a " ~ a d n i n s ' g Inudiu'ncius'guiao'~6nwsou'nd s a b f l u ~ d a u d i u ~ di~iiunisuas~ilnlGu3nisn"uw,n9~daulu~dbbuuva~ Government Big Data as a Service

aid8oiflm u nssul~.!w"idiuuu Government Cloud Computing v i a G-Cloud i d ~ d a u d i u sianis@rnuunal6u3niso~luvora8

i l o g k iiiGndiu?iuinG~n"nnsaiinii 1 6 i ~ ~ ~ a n a o i i ~ ~ 1 u n ~ s u ~ ~ ~ u i a ~ u ~ u n i s ~ ~ ~ ~ u i sauu 3 aduuu d s a n o u h u System Architecture d i ~ ? u n i s d s r u a a w a ~ ~ ~ Batch,

Interactive una Real Time hu#d 3 bbuuwid EGA orlmYJiui"LBbdUm'a~~uudi~?unisw"mui sruu Government Big Data as a Service ~ i a l ~ u i n i s h u Big Data Analytics di~?u18u

a W d

sianislnuiald voraulnunisGwui6u~uuuu una r i i ~un~duudns~a i i ~w"u~ ium ' i ~ 7 &M%J

Government Big Data as a Service bb6a dirinciu?iuiaidnnsaina' oa i in i s inRssuu#d~~ ln ~ q n ~ s a a ~ u C n b s i i n u a i ~ ~ a a

W I ~ m ' k a i saun"a~nnisbn?adiu ~ ? a r ~ m ba'inii; {dsauu b$aii%v?sauu Government

Big Data as a Service v a d ~ n u ~ n i s u ~ ~ i s ~ n n ~ s ~ n u ~ d a u ~ i u b ~ u a b $ a a m n a i u ~ t u i n unanis adyud~ua"au ~ n ~ ~ ~ i s ; l n i s ~ ~ ~ a ~ a ~ b a a n i s ~ ~ ~ s i a s ~ ' # ~ ~ u n a ~ ~ u ~ ~ w a m ~ a u v'iauimsiiutu 6 1 ~ P i l d 7 dbM5aun"u

b i i s s a u u l ~ ~ n i s ~ n k u & ~ n 4 0 ~ i a u ~ i u s i a n i s h l ~ d A a ~ n i s I $ ~ i u s a u u Big Data

Analytics ~ias:uunisjbnsia~.iiayau~imia ~ i u i s o a a u ~ a ~ ~ $ i ~ i ~ $ u i n i s ~ 6 ~nudaulvnis di~iiu~iuer~4u~durSuan"unislGu3nisszuu G-CLoud l u i l a l f i ~ ~ ~ I ~ ~ L ~ ~ I ~ ~ R ' c ~ ~ ~ I ~ ~ I J ~

i i l ~ ~ ~ n i s 5 r n s i r s R ' o i n $ a ~ a v a ~ m u ~ a ~ ~ ? a n i s 5 ~ f i s i : M r ~ a ~ a v a ~ ~ ~ a u ~ i u m u ~ a ~ w a u n " u d d u

~ d a u ' ~ i u ~ u ~ ~ v i u i l $ u ~ n i s d t o a ~ i ~ ~ ~ ~ n n i s ~ s o r i n i s B a ~ a u n a i i l ~ ' n i s C n ~ u l ~ a ~ u u & 9iu$ar?adur iu~iu inu (find banyuwn, 2558)

nsiG~ed1~1udss~w d w u hrindiuiguia8m"nwsaiinai (EGA) b~uhn' ibiunis " d n n i i i (Big Data)" nin$uvidusn

lnuGnnGaynnisesiosnsu~i~'~~aa~b~uPiu~~uu uaan"iGun"n$amna~~a~nisaii~6u~~uunisCnni~ u"a~aumifl~a (Big Data) s a ~ j i ~ dirinin~iuY~uiaB~~nnsaGna' (aaAnisu~iau) EGA f h t p d

4 9 d ~wnlulaua~annsadnai~~aanauGa~mai~bsA~aii NEC~EC bbarnsuwiwaad iia18umfdusnaas W E d d v~au;liuni~Yg~~udJiu3nis "dnn ih (Big Data)" ui la nan~du$a~ndlinisGun"nInuu~wd M a

B ~ l ~ a d i i n i s ~ r i i u l n u ~ d n s o i ~ ~ a a T ~ a w ' i u ~ n i s i i u (Internet of Things) ui?~nsiaGdiussuu dsruaawavuiml;~~~ ~ ~ a ~ i l d l ~ M " ~ ~ n d s ~ ~ u a ~ ~ ~ ~ ~ l u n i s d Y ~ d ~ ~ d s ~ ~ ~ ~ i ~ n i s d i ~ i i u . r i u ~ i u u3~s~aanin$ddsaviau ~ a a ~ ~ a a i i ~ ~ a i u l ~ i ~ d ~ u u l u n i s ~ ~ i ~ ~ u " ~ a ~ d s a ~ w n

nis~jldzj?iuialivia n in~oa~bi~n is~sor in is$s+aninY~ ~daai dn=itahdmso'nsab~uu (~m$a%R ~~ISU~IS~O%$I ~nanisbilnbwu$a;n I R U J I G ~ ) ? R ~ S E ) ~ ~ $ ~ ~ W U ~ ~ I ~ I ~ N % U~%?IP?JUU$~%~

as u d l v l i d d M " ~ ~ u ~ a a u i a n ~ ~ l ~ ~ ~ u ~ ~ ~ m o w n ~ w a s a ~ ~ u n i ~ ~ ~ u l m v a ~ ~ s ~ o n i u l u d s a ~ ~ n Inuninigoaiinis d ~ u ~ n s d a i i d t i i u n i s u ~ ~ i s d i u b i s s s d ~ u ~ n n i s ~ u ~ n ~ a u v s d ~ a ~ a i i a a i s a ~ i ~ o ~ ~ ~ d (Data Driven)

Page 9: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

t u P brna~a~nisd~magusrisbo;aaisaubwfl (Chief Data Officer) M?O CDO IUUIR%O~P;ML~B?I~~%UU

aiu$oya nis&b?!u nisl$aiu U ~ U ~ I ~ L W U U W ~ ~ ~ J uonoin~uoaijnis~~m~n~~uif l iami. i ia;a (Data U

scientist) 0) a'a~~u~rduasi~ai~i l~d~iim~u~~osoa~unisu5ris4mnisio;alkaiuiso1~dsalus~d~oin "Onmi61 (Big Data)" l6oioriiasamdauna~dsa~w~niwuin$u lnuuors6ninY$bhanaiuiau~on"u aan'nsr iua~msunanin~on~udr~uaiaa ahauua~miaun'u~~ou'i ld~nisaiauwunn~vld una ~ ~ 6 P l l " " U l t 7 1 k b ~ ~ b ~ ~ ~ d 6 ~ 5 ~ ~ 6 ~ d l 9 $ ~ 1 b ~ ~ b b a ~ & 9 ~ ~

nis~sminis~iubo; noanaiu b6uniw~r~dnin~~oa~knaiuafi6~b~aa~ubwuindu uaa rrioudoarii~~a~~d~u~na"ounisu5~isaiuludsarw~r~oaiiana1uld~~la unauuiuf%uniw~~a ~wuidssbwPlPia'bfiuouinm a'a~ab~~i~in~~oa$fianssudaba~unisvsorinis~o8?ab~ou'I Inm"iu

BirinaiuQuiat~6nnsairna' (EGA) e~rii io~ad16Yunis~sauaawar~a"a I~IT#II~~IU(IUTRU

w ' i Jnsanisiaap~9mnimY~ (Government Open Data) uoa EGA lnu~n;adriildl$qald~8u~a;a Eiauqmn unaIr i6dsn5]ru iudr~ua~oa a't$oyaaatnsuwi.r~aaan"arum #wiouuarrknis dsauaa~a ~ i n i j ~ ~ a u ~ i u ~ u 6 o ~ n i s r i i i o ; a ~ f l ~ 6aiOjl6Yua~~imoinnsuwiaraaariau rrnaaiuiso r i i l f l ~ ~ ~ a l u a r i ~ i u ~ i u ~ < u ~ i i d u tumnY~ld$traiudsaaa~kriilfl+dsaluvuTu~~awi~sB

~~i?odisosll'nsn~ni~ua::~~n~~u~~i?o~~w~dpa"i "8nnnlidil (Biz Data)" uil# - n4uwis~aas uiuaiiruni auvsd olulnsuniaraaa ndiaii oinnisdnsuniarnaaijnis<m~ffu.iioyaoin

n ~ ~ a a ~ ~ s ~ ~ u n a b o ; n o i n q m a f i s a o d ~ u i ~ o s i o s s i r ~ ~ ~ m # a o i a s ~ i u a u ~ i n ~?u?~~$o;R&J q d~i/uaboa ~ a ~ a ~ ~ ~ i d ~ 8 u d s a l u s u t u n i s ~ n w i ~ ~ ~ ~ r a a C m i i 6 u u u u ~ o ~ n u r i i n 0) (Big Data) l6du oci ia l rdoaoinwaustnisfi 'OnniAi (Bin Data)" ldl~oan'ilkaiui.roi~nsiaM'uaasiuaiuaniw nisasior Ontine ciiuuodwGrn$uuuu Real-time r?o~aijoueSdAKudsa~ivulm" ~n&$o; a nisosi~suuuniwrndoul~a6oal~~~wuins~ia6iuIoilunis?rnsi~M'uu Analytics Gfeadilfi6

Y , dY io;alu~%aa'nliiuin!h 1~smls~~a~ub8u6ubbuu$aau'i.u"oyaui~bnsia~bbuu Big Data lv l~nn~ul6 o i t uaan im i i sa~ iu i sosd " i bo ;a~~d i~ f l ~d~a l~s~~~aa~~min i~~~ in "u$o ;ao in~au~u q l6dald

44 d ns. gain4 Ralunwssu sea~~iuaunisquu'bnnFubaua~anwsairndrbaanou5a~maib~~a~ii (NECTEC) ~i lm~wuii r~iCfuncrun~~n~uInsanis%o n ~ s a ~ u a ~ u ~ k ~ i d ~ n ~ i ~ u n i s d i u ~ d a " u u n i s im#ana"oaatosilmuaansuwiaraaa rnnQnnisb?!uCyae~nna"oqaaosilm ~~aani~~d~udobo;aosios i u q mld~un~nnduiirvuiaau w6un"ulki~'idinsilunis~rnsiaM'~o;a~~olkaiuiso~i~o;a~d Idn"unis~wuiuadw3rn$udia q ~~alku5nisuridsa"tlisuaiuison"ia~ smart Citizen l6aciiauGq5a

- gwia~nsduni3wviQ .y

s~l .qalni Fsarii~no'$u oieisu'nmai~anssu~ia* i g w i ~ nd ia i i nisri i "Onmi61 (Big Data)" uidau~unisaiauwusauuuudaai~isma 1munnnoda'sauu~ni ian"uso~a4~u~~~~

u d d ~udairbuna~nainsniu~ugwiaansduri?wuia"u s n f l a n d n a ~ i j s a u u ~ ~ u r ~ a ~ i m ~ a ~ a r w o a a a i ~

d d riuboaunrdaaisriuaoi~~iu (base station) do$miuu?nmii~ q uaabuo~aouluarijub'~~oibiin"u uodw8rn$u~~n61rrrpdasn ~ ~ u a i s i i o ~ a i u i s o r ~ u ~ 6 i i ~ ~ ~ i ~ a ~ a ~ a ~ r u uaaeaI+raniinuiubiiIm niisoaaui~aqmYudadmuZuo$ snflaYuEianiuluqwiq udnrnirsaaiia~o;a$u1ud5uim 0.6

finaluddofu luumrdrinr8usoruR'ai~is~alun~abwwr &mum (ilaguiriiod 7,923 6-41 o'i6oanis

Page 10: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

~ n ~ ~ s ~ u u d u n a i ~ a ~ ~ i ~ i ~ ~ ~ i u ~ u ~ n ~ ~ ~ n ~ ~ u ~ u i i ~ r n ~ i ~ ~ " r i i m + s y a b r n u n 4.75 ~ ~ s a ~ u i ~ i a ~ u uruadninsausouuddniais~aM"d~um~un~d~ww #dsodnduarsniai6is~am"au (ilqgu'udsnaudt aiaisolr#dwum 127,735 {u) s a u u f i o a ~ i a $ a y a < u d ~ u i ~ 607 rwmalui (1 r~m:~uirYiin"u 11,024

d s: rwsaluPi) PiaTu ~ ~ ~ d u d i u a u u ~ i ~ i a aafiurra"a nisorah~sruuRmmiu1~aa5~~si~99'$aya~si~suuim 1 - u

lnq ~~ma~ijnis~i~k~~aSi~w"u~iulunisu5~is~a~Cm~ifuu'ayaw"au~~dlu~~1~m sndri isupisi i~ cd Y d i u r w a i ~ d m (connected vehicle) os i id iuauu in$u dsa~uaun~msn"i~M"nis~u~uu~s~ouu ddY a, d daamn'u<u msdsodaupi~riusauuw"i~~~iimnisai~~r~uni~ilsi0swmuuu~r~u~msn"ud~~ram8au ua:

dsa~ i7m~aai lun isuud~ - U%YI rbamaiud Sufid$ bwaf% 41f%1 UMIPIU (~alabaa) u iuqnrav t j rduv?uTwuigv i l imalaroa i a u h u i " l n . i t n i s i ~ n i . i ~ m ~ i s ~ u ' a ~ a r ~ a

4 PI Zd u~.rniju$Quf n i s h s n u u i n u " ddr~udiui~uiaurium~a~manssuwiami ~WIY s q i i diuaouuu gmdsaad~r~ad~udSdnis~~u?nisuad~dsanaunis~wsmuuimu datGaiuisnmauaua~maiufia~n~s

c e 4 uasgn6iilrawi-nEju buCyad~iu i ta" iCu~a$syad~i imo~nnis lC~iu l~~f iwuaa (mobile data) 4 4

~ayadriimeinnislC~iulwsfiww'Ja~arOud~daiuisouiw"ilM"iiyaiia~ln" m"aun is f i u i i r~s i r v i f f o u' i ldl<dsaluari M"~lu61unismain rdu nisw"iuiuiign6inulm~~rualPdyuoaBiuiiuJaEa n i s

A' dd " aiqr~wuniilM"u5nis ~du nisai.ruwuwuwmmMns~iiu 4 i saukdiud~~dsaiiw5niwnisw"i~iuua~ aahns 1 m u c i u i ~ u ' u ~ n ~ j u ~ s ~ r s l w u a ~ ~ n ~ i n 4 ~ ~ r a I a r a a ~ y a ~ i n g n ~ i 40 g i u s i u r~aaiirjuM'n u'sy a d i u a u 300 BiuGnyapiaTu vcusdrjuM'n~ay asiuaa~~umldslmmaaiu~wai~Cm (internet protocol detail record) i d i u ~ u n i i 2 ~ ~ u i i i u $ a y n i a ~ u iau$ayndi lnw a iB g n 6 i s i u ~ h q ii msRnpiariutmsCid, ~ R u ~ i d d $ L n r j i c lmuRm~iuoini iu~l i~ua~qdnsd~ u'naiunuloaals l m u y i n wqGnssunisl%wsfiww"JaEs

- hau'ianis5rnsiaM'$aya xuri n isdQn6i~u~ud; l r jn f iws4w~aanpi i~ds~rw uaala" 64 d

b s 4 w ~ T l i u rCi6uu'oyaluiiul~mwrnuan"unisrRuwi~ lsdusu n ~ a a i u n i s O u uari iu 'syai i i in is rndauduin gn6imukndialiioar~un~usd"n~'adrdua ~ i a ~ n 6 i w " b ~ w s f i w ~ ~ ~ s ~ $ i s a n ~ u r a a i w " i d i u

v d o u i n iimsrnadauddiunaia liioarOugnni~wiaiuIu~liau~iu~i~ ~Suiu - GGYI P J B I W . ~ I ~ (UMIPIU)

uiusssowa qndf i~au ' s o d n s s u n i s ~ C m m s 1 rn iaut js~oJi r iu u?tjvl dmw. din"m (unisu) dmw. nn ' i a i i u%w dm~.di;m ( u ~ i a u ) ~ O u u 5 G ~ w ~ i ~ ~ i u s i u ~ s n u a ~ l ~ u w " G i r w ~ l u l a ~ Big Data

dd 0

Analytics ui~a~u~uni~~unis~mnis~aa~~msiaM'$aya~~da"nwu0iuauu '~1 i~ ia~m"a~idsam~fa sau 6iu r d a t ~ a i u i s o ~ m u i i i u ~ i u a a u ~ n i s d a i i ~ m a i u ~ " ~ w a ~ o ~ ~ ~ m ~ ~ ~ u ~ u ~ ~ n m 1 m u i a u ~ a ~ u u 5 ~ 1 ~ w ~ i m i h & L ~ u ~ L ~ u ? ~ I I ~ ~ ~ ~ ~ " I I ~ ~ I ~ ~ " I Big Data Analytics 3rm"ulan ~ a u ~ ~ u i ~ w u d i u s s u r u l ? rmara?unildnaiuwiaun"d~um"iu Hardware Software uag~inuniwusd~mainsidupi w.fl. 2558 ~ d ~ i l l ~ u ~ ~ d l u ~ n " q ~ d a i 1 9 ~ 6 ~ ~ s ~ i i ~ s ~ l ~ ~ u W . ~ . 2562

nisii~mlulali~ugauidaurifur~aairnsiaM'$ayar~~a"nua~~u3lnn dau lk i sa i~uwugs i i~vaa d

dm. # d ~ u n a ~ u u ~ i u u a a ~ y n (Fact Based) d n s u h u aiuisori io d u ~ ~ a y a l u ~ n u m Plduonclinoa daura3uu~cuniam"iunismaimlM" dmw. a i u i s o a i i ~ l a n i a wiqqsi iouh i7~dautRuriuuas au~cmaupi~naiufiaio.nisus~~n6i~rPia~nEjulXrruur~~a~1aiumim~uiulur~ai~usamrfa h k C i d a u rdudsaiiw~nivmsauaunisw"i~iuniulu ~auii~nisu5~isiu~umaam~~nsauaun1s & ~ a ~ r i n m " p d l ~

Page 11: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

dmn. i i ia~nisb~u Data-Driven Organization Itindiaauvsd (dmn. bgm$a~nsdnis Smart Analytics

with Big Data, 2559)

- I r ~ w u i v i n n ~ ~ e w

"$nnnlih (Biz Data)" ~uiguiniiadr:~vltl oinwadis2ouas cornscore ludo~nis la"~niat i iu8~~1uei iu$~~mart Phone l udsam~~

r r~?p .u i n i uaan$u EU5 oin 5 dsa~nduqlsdlm"ur muuiin c]&rfla i m i d abdu uart?dnqlr ~ud2dbRoun'uuiuu i;d!ainu n.R. 2011 wuji dsa~~~ln~?iaru5nir~aan$u EU5 ii$a"diubniodiu &nu diu Smart Phone biludsaQiynTuRnr8u Touaa 38.8 uaa 23.1 miua'in'u bbaawuii l u dsr~n~lt?dnqw ~ 6 o ~ d i u u ~ i u u a ~ l i n l ~ l C d 1 ~ bn?odiu8dnuoin Facebook i idiu~uuinniinislC~iu oin Twitter ~mu$~di~d?u~~g"b~diu~n~o~iu8dr"luoinba"u~'~1m' soilada~ib~unida"di~~ln Mobile

Browser bbaaoin Mobile App niua"i6u - avligo~u?ni

N

rAouGquiuu n.fi. 2011 i i n i s d s ~ ~ u ~ ~ o a i i ~ ~ ~ i u ~ a u j i o l u n i ~ M ' i i ~ ~ n " i u "OnniAi (Big Data)" b ~ u a n " u n i s u i ~ i s ~ n i s ~ u 5 s s u a i ~ s a ~ a ' i d Mr. Hirofumi Hirano ~uum"?iinisnsansad nisAnwi ?YPUUSJ~U nis%41 ? M U I R I B P ~ $ U ~ ~ L M R ~ U ~ ~ ~ (MEXT) dsabn~d+.~ uarDr.Subra Suresh

?~u~aaa?~l~ t~ 'n~ iu~ i~~n"unaiu~da"uurrda~dm"aunis~~ i~k~ MMi~u'irininui~~ami.u"oqall (Chief

Data Scientist) ~docai~duuiutiiu lddnnifii (Big Data)" uotdsarvln bdu - nis~aiuah~nis?nwinaiudaomfiubbaa~o~n"unisyom ~8nnibi i (Biz Data)"

osaiuisor.u"iuid~ulunis~ilsaoaouyo?m Inuoad~r ' i iu~ .a iy~C~wnlu la~ l~dnnifii (Bin Data). do 3~nsiadaduuuunaflonssu$~mdni ~~oilatn"un'ugnn181ln"ou'i~w"unisd s~u5;lsa?jwq~nssud4i

w d s a~a"ufimuaiciunisirnsiaM'.u"oqanisyo?m~ua~m uonoind "dnnifii (Big Data)" ujgnla~wo2r~sirJ uaallmouP;oKugnniuodi~w"uia9i ~ d u P I u ~ ~ g a i n i s n s a n s ~ ~ n a i u ~ u n ~ ~ b ~ ~ u i 9 Q G a w ? P ~ l a "

w d w r w l h l a s ~gdnmiii (Big Data)" ~un i~~ns ia fuaamsaoaou~un i~bu ioondsa~~~

- nisw'suinis~~u~ni~~aani~mauauodbruu~uwa"u bnnlula8 ~ d n n i f i i (Big Data)"

d~udara?ulGv4au;liuQ~uiaaiuisn~i~~u~n"adi~r~udsa~~5niwou'i~"11igaaim uaaiin~iunrinsh u i n ~ u ~ u s a ~ u a ~ ~ u a a . j ; o ~ d u "6nm161 (Big Data)" d~ulunisms~oaausauunisuud~wd~uQau msirnsiaM'uuu~uw~u(riau~G~<iv~i$ a i u i s o n i m n i s ~ ~ a ~ i l o ~ ~ u ~ g ~ i d o i o ~ w a n ~ a ~ u ~ o s a u u ~ ~ I S ~ ~ U U I R U U B ~ ~ ~ Y L ~ ~ ~ ~ ~ ~ 1 ~ 1 5 0 ~ ~ ~ ~ ~ l ~ l ~ ~ ~ ~ ~ " ~ ~ d ~ ~ l ~ ~ ~ ~ ~ ~ ~ ~ l ~ ~ d ~ l ~ ~ ~ ~ ~ ~ 1

.y 2 d uonoind ?p iann%~ $daiuisorii "6nnidii (Big Data)" ui$muisauunisoubsodiodyn~

(Ins 311) uaanisu<d r~qhsqn~8u (Ins 911) I m u i ~ n s i a M ' ~ q a ~ ~ ~ n o i n n i s d ~ G o n a i u nisRnpio nidlnsdiun' rraanidwam'u"ngauu Social Network b~o~~~~uiaaiuisomounuodbbaabm?uunis~o

Page 12: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

~~~hul6Cuviuviaai sauk w"muinabnis~iiubo~a~~aznszuaunislunisu5~~~q ~~u6iu (w i im i EuFii, 2556)

- &nqw ?~uin&nqdm'naiudin"~n"u (~dnni61 (Big Data)" lusiuz ''I lu 8 aoqanIuInZr~duu

Innn wiou4nss~uyuuin~unYunisw"muids~~~~oin~ayaF1"iuauu~i~ia~~siid~6o~~u~nuniw b%Yudsz~~~~ ~dul4ioindsduatjw<quaq (66nmi61 (Big Data)" nriunisd~~nwB~nC Spotify niuiso ~ ~ u z r i i r w n a ~ m l d G ~ s i ~ ~ l 6 o d i ~ ~ n l o ~~otynnisunsz~uiuq~niw7Sm"11a~(nuuinuiu oii? msio'u

d d v \f?stnis Routes to Diagnosis Imu The National Cancer Intelligence Network nbnuuo~nuoa{dau R u I P ; ~ ~ ~ A.PI. 2006-2013 ~~adiuiSi io5uI' i~ Ynwi unzilo~iiunis~iimuz~~~diw?un~udSnaiu~du~ buF1"iuunmiubynniqdszain3 ~liauciud?uiinaou nisliiuinis uazbayadauqnna doiiuwu {dauunz~i~iaYnail6o~i~w"uviuviaai ~~onmi$n?woinaaunnu City mapper unwwl~n$u~~onis r ~ u n i c d s a u ~ a u ~ o i b ~ i n n i s n u u i n u ~ ~ s o s ~ " a snlrl4ol65u U ~ ~ Q L U O < ~do lG$~6a i~~wunis r~unisdsan~4adqnuaadsz~$nuin~~m ~tw"muioinami<n5wba"n q euauiunis~m'u~nis~dna'i 30

dsz~npl o i f f in% mi rdiIn ~%(~iuflsiu$aIn ~ ~ a z n h ~ y n d i l u i n 11.4 ~IU~IUUIM ijsi iod Z d d v ~Rulm~ri iau~i~l in~~n~iau~umuyuoin 6'beyn1' uo - r@~~ iu~v i i i u (Big Data b$o~nn~~u~u" i iau

boyn. 2559)

- ?as&J

(Y qu6?o'uuazw"muiluqu6ua"mnssuaInaInIa ~~~u"u~~nluInZnniaduazszuuS~nsizsii.u"oya "cnni61 (Big Data)" d i ~ ? u . i i a a i s n u ~ ~ ~ ~ n z n i s d s z ' ~ $ m ~ a " ~ ~ i u B~Buiii P I ~ S I ~ O L S $ U (New York

Stock Exchange: Electromagnetic Compatibility (NYSE: EMC)) ii~wunis~#q;IPu6iCuuazw"mui (R&D) luqu6uimnssuuoay aQ"5nInaInIa (Skolkovo Foundation) lu?ab%~ $JOI$LI~~I~Y?PUUI

I a Q d i r I n s ~ a i i t d u : u g i ~ i a l (cloud infrastructure) u n ~ ~ n n 1 ~ l n Z n i s ~ ~ n s i z 4 b o y n ~ n n i 6 i d h d ad

(Big Data Analytics) di~?uQanisau~w~ (Bioinformatics) ~~aznisdsz~6'mwa"qqiu uon~1inuo~ou~a.1 ~~wudoziauZo{uu~i?wui<u ~Pdauqiu=j~mis sau5~u5~~w"os6u~azui~~b1ua1il~Ynb$u i60 ~i~iiuInsanisiCrilu~wnIuIaZ~~nsiia~~az~wn~uIaZ~u q niuluyuaunInnInlnla quu' R&D uviqlwai aaa Z~du$oa~~o~luqu6ua"mnssuaInaIn~a unzoadszaiuciuiaun"uorii~!na"5mn"uqu6 R&D i n ~ d ~ v U " ~ ~ a s i d u ~ u ~ Z o ~ ~ ~ u m ' ~ ~ m o i a ~ G s " n ImuIq~aa a a i ~ d soqdsz~iuail In~a~il jUs ~az?n~ma< ran~gnfis'n dszsiuya~~?i[~dnlal6a~uiulu.u"omnna~a81n"u

y n ~ ~ n ~ p l n h ~ a t b u a ~ r i n s d l a i u n a t ~ ~ n ' ~ ~ s ~ . r~~un is f jhk~~u~ua"mn~su~donsz~uf i i {dsznsunisahaass~ua"mnssud~)zb~udsz~ua.d'bbri?n~~u~azszuub~~sv~ii~~a~nn b~iwuiavi<n ~ ~ ~ a l ~ l n l n I a i i ~ m ~ l . i i ~ ?wuinsuo~?nr$ulu6iunis?~u~"ii~dszqnm'~~azaii~a~i~~~ama"oud~~aIP;nn~~ w"~uiniaSnuifiiam<uazbwm~u~a~u 5 6iudhriry l6~1,ri inanssuwk~iuunznisdsz~~mwa"a~iu nanifi B~RISRULMR ii?rn$u< ~azb~~~dn~nau?iabmo< ~unlnaI? ~ L ~ U ! ~ ~ L W U ~ ~ ~ F I I ~ ~ ~ ~ " P ~ ~ I ~ ~ " ~ U I

N

kQ~u~~sdnh~iu~iunaian"bbazsz~u?bns7z~.iioyn"~nmi6i (Big Data)" 6iudi-1 7 r iu - iiaa15au~nfi (Bioinformatics) ~ n n l u l a Z n a i a ~ ~ ~ a z s z u u ? r n s i z M ' b o ~ a ~ a

N d v "Onmih (Big Data)" o ~ s a c ~ u n i s ~ n a i 1 u u o u ~ u m ~ n a i ~ a a i ~ u i n 8 u ~ i ~ ~ u ~ o y a ~ i ~ ~ u ~ a u

o d " naiuua.uuinqtBu udCnniu'ouna ~ d a d t n i s ~ m u i u i d S d s z ~ ~ ~ ~ a I P ; n ~ d a u ~ c s i a z s i u o r i i ~ ~ ~ w " o ~ ~

Page 13: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data
Page 14: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

2

3b e

5

4D

@

e 9

S

4e

,a

ten

dl

Per

5"

Sk

2

St

PD

P 2

3 3

9 2

2

dl

2' %D

n

9

0"

y M

3

e

F 5

iiT

2' V

dl

"

L.

2a

ze

<

f

91- 9

e)

SD

r

ee

So

2

5 d

%'

2 5 ,s

c!

3

(11

9D

oD

2 5 2' er

2- 9

P5

0

ee

8 z!

VO,

3

"0

f TI

ae

R g

m

0-

g 0 0 s

-5 2

i 2

-. s 4

s 5

- 9

r:

PI!

3

"m 2

-

Y

= <

2

3

2

2 g

3 gb

dlP ten

39 %1L

Page 15: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

h y a udnri6 i (Big Data)" L ~ U ~ ~ I K ~ ~ U ~ I ~ ~ F ~ Z W " Q ~ I U I ~ I ~ ~ I L Q ~ ~ I U <muinisu9niilGms~n"9~~aiu iiotmsuo.r~saaiau~ui?uu'dnisuind~r niuI~<aiin'nd~a~rjaa~n.iia~adaupl,nna~sa"~~iau

n1n?~nazor6addd~ib~unisb$a1~~nisdsaqnm"b~ "tnni61 (Big Data)" ~uad~nsbdagmui n ? i ~ ~ n ? i ~ b . i i i ~ d ~ n i s d s a ~ n m " b ~ ~ ~ ~ ~ u ~ a f ; "dnhi61 (Big Data)" uaaafida"musssunisiauian"u 6iubaynua;lyna~n'nslGw"ua.dJ"u c~ugoguir a ~ a d 4 1 6 ~ h y a ~ n l ~ m s ~ n " u ~ n a ~ n ' n s dcGmuivinaa pl,nains~iiiinaiui61ubwnfiu~af; "dnri61 (Big Data)" uaan~id~i?udiunaidw"bss"u~nisbwnfiu~af;

N

" O n r i h (Big Data)" ~da lu7 i i~Ann isa~~uJ i6au u a a ~ r i n a s ~ ~ ~ n ~ i a u ~ i u a ~ y u ; a " a ~ w n l u f i a f ; ~ n ~iaudiuuaauinbiiultl ~ i ? u d i u n a i d a ~ ~ ~ a y a ~ ~ t n m i ~ j i i (Big Data)" i ir i iuiuth~udausianis i u q 6au

d a d d i ~ ~ ~ i i o n i n ~ ~ l m " ~ a y a " d n n i h (Big Data). uiur i?~n?saanng~uiu~?an~sab~uu ~$a lA~Arn is r i lm. i iayavadn i~?~ (Open Data) i adsaa iauda~d ~ ~ a ~ f ~ d r a a i a u b u ' i ~ d < a y a

V d v "dnni61 (Big Data)" b$unisl6dsraiauaiuisfl bviadva$aai'5is~al6 nisbilmw u$ayaniaisw (Open Data) n i n ? 2 6 a ~ ) a i i n a i ~ ~ ~ a & u l u q n u n i s ~ d a ' ~ n i ~ ~ ~ r ~ ~ ~ . i i a y a n i s i s (Open Data) oaiilss" k n u d a u h m s ~ o a a u n i s w " i ~ i u n i ~ ? P ~ n ~ i ~ ~ ~ ~ 6 a u 8dnuaad?u~u~muiuluuiunisis~a (Public

PoUcy) b ~ u d ~ u i ~ ~ a a ~ ~ n i ~ v a ~ n a i u ~ 6 u ~ a b ~ a d d ~ ~ u i ~ ? i ~ a i ~ i s ~ ~ a a d s a ~ ~ ~ n i ~ u a d n i n ? ~ 3 d un~~iuna1uipla1ub<11o1~d61~a"~~181~1nmi " a d i ~ b 6 u ~ w u i ~ i ~ m i ' uinvu~nu~n"uwqRn~suuyaQ~~aa

~ d w q G/~siuodrjduXaumi~d~i ~~ i~dCfn in?~nassa%bbaamsa~~n~~uin~unis i ib~udiu~ad " d n r i i i (Big Data)" Ronislrj

ar~5nlvl5dauy nnavaddsaaiau uarJiCay a ~ a ~ d s ~ a i a u ~ u i ~ ~ ~ ~ n i ~ ~ u w i ~ ~ i ~ a ~ uaa6ac d d ~ u n s a ~ ~ a y a d ~ u ~ ~ n a d 3 a ~ " b u n a i u ~ s a u n s a ~ v a ~ n i n ~ a n " t l u ~ ~ u n i s d a l d ~ a u uas~wn~tlunis2i.r

uimsm4u~B~ila~~unisar~r~aiu~6udaum"alu~ayadaupl,nna unrnaiudnam6uvacCya bards v d el N

srpl, i i .r~w~ciidva;l~wbnua.iia~~u "Onmi61 (Big Data)" lG)ai i i i jn?iu~~oul~nas3ng~uiu~daai~ u u ~ w i ~ ~ u n i s ~ u ~ s a ~ n a i u ~ 6 u a a u m " a ~ ~ a a n a i ~ & u n ~ d a a m ~ u v a ~ ~ a y a n s ~ "dnnidii (Biz Data)"

~6unis~awia6au

Page 16: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

w n d @lo?l6%1~1yun~d "National big data pilot zone" dausnuoaiiu. (2559). Juh 18

wqfliniuu 2559 01n http://www.thaibizchina.com/thaibizchina/th/china-economic-

business/result.php?SECTION - 10=458&1D= 16491

N f i s oipld%fln'6. (2558). ~h2uufi Big Data h w o d i o a "Open Data" 678. Ju6u 18

~qfl?niuu 2559 olf l http://thaipublica.org/2015/09/settakid-13/

suaiR ~ U U U ~ . (2558). n~fpIb Big Data d i r i u d s r ~ ~ l w v . guh 18 wqfliniuu 2559 oin https://thanachart.or@O 15/01/25/%EO%B8%81%EO%B8%A5%EO%B8%A2%EO%B8%

B 8 % E O % B 8 % 9 7 % E O % B 8 % 9 8 % E O % B 9 % 8 C - b i ~ B 8 % M % E O % B 8 % B 3 % E O %

B8%AB%EO%B8%A3%EO%B8%B1%EO%B8%9A%EO%B8%9B%EO%B8%A3%EO%B8%BO

%EO %B9%80%EO%B8%97%EO%B8%A8%EO%B9%84%EO%B8%97/

. (2559). Big Data rivms2djiu~uni~i~b~ar~~ilairn55u~u q. iu6u 18 wqnaniuu 2559 o i n https://thanachart.org/2O16/06/1 l/big-data- %EO% B8%81%EO%B 8%Bl%E

0%B8%9A%E0%B8%81%E0%B8%B2%EO%B8%A3%EO%B9%83%EO%B8%8A%EO%

B9%89%EO%B8%87%EO%B8%B2%EO%B8%99%EO%B9%83%EO%B8%99%E 0%B8

%AO%EO%B8%B2%EO%B8%84%EO%B8%A3%EO%B8%Bl%EO%B8 %900hEO%B9%81/

d n ~ . L~61ik~R5ani5 Smart Analytics with Big Data. (2559). Juh 18 wqfl?niuu 2559 oin http://www.pttplc.com/th/Media-Center/News/Business/Pages/news-2016-04-01.aspx

i lua6ai isod?muqiGau'. (2556). uu~n ian i~~u f i~oado~a lu Big Data: ilnaidrrbfiucr?iu~au d?~Pi? U E I Y R ~ I U ~ ~ ~ ~ ~ ~ D I I ~ U P I O ~ ~ O ~ ~ ~ . (5wuiiiwuS~~iG~4~1). U M I % ~ U I ~ ~ ~ ~ ~ L ~ W , iii~1ia~s~~iGm4rn. Juh 18 wq~[?niuu 2559 oin http://dspace. bu.ac.th/bitstream/123456789/1099/1/piyapas.rojr.pdf

d5~bMdM8~1 Big Data Zddd.rzluariorl5~~dasJ"ia? u~gaiu?ibvojifl?r ywiq h. (2559)

iiu6u 18 wqpl?niuu 2559 oin https://thainetizen.ors/2016/04/big-data-in-action-seminar/

wiini hi?. (2556). do~auuin lm~r iuna iuw" iwiu Big Data: Big Chalenge. Ju6u 18

wqmtniuu 2559 oin http://www.bu.ac.th/knowledgecenter/executive ~ournaVjanmarl3/pdf/aw03.pdf

h r i n ~ i u d d ~ n ~ i ~ i u i w u i ~ i a m ~ r ~ a a ~ w ~ 1 u ' 5 a ~ dsa~iilniuron5~ssia~rn N n7~2n8aGu (Office o f

Science and Technology - OSTC). (2556). uwuiwm-r Big Data ~nnisd~~ds~uunisi i~iuJguia The Business of Federal Technology, % ~ h 18 Wb)fl?niu~ 2559 oln http://ostc.thaiembdc.org/l3th/blog/archives/l487

iiiGnciu?suiairdnwsaGna". dl (2558). EGA JrnRuii Big Data ni~rgdausn %CInh$a nirono5n.iuniaMm L ~ U ~ ~ U U U V . i/u(iU 18 ~qfl?iniuu 2559 oin https://www.ega.or.th/th/contenV9l3/11491/

. (2559). b.iudaiauwr~$~ Big Data. gu6u 18 wqfl?nluu 2559 ein http://thaipublica.org/2O 16/07/big-data-napaV

Page 17: Big Data ในภาครัฐ - National Assembly of ...library2.parliament.go.th/ejournal/content_af/2559/dec2559-4.pdf · Big Data))' 2' 2559) (Big Data)" Big Data Big Data

qiio $uiin:. (2559). nis~#i$anqnlwriua9$n~a 'gdnmibii'~. 8u6u 18 w q ~ i n i u u 2559 o l n

http://www.bu.ac.th/knowledgecenter/executive ournaVjan - mar - 13/pdf/aw04.pdf

h s ? u nuniqnd. (2557). 1 n 3 9 n i r i l n w ~ i u ~ u t ; l u Big Data Governance and Big Analytic.

tl.4 Ludwigshafen University of Applied Sciences do;l Ludwigshafen d=i%~fifl~$~6

niaismQruosriu. i iuh 18 W~R%IUU 2559 o i n

http:Nli barts.stou.ac.th/UploadedFile/%EO%B8%A3%EO%B8%B2%EO%B8%A2%EO%B

8%87%E0%B8%B2%E0%B8%99Big%2OData%2OAnal~ic%EO%B8%89%EO%B8%9A%EO

%B8%B1%E0%B8%9A%EO%B8%M%EO%B8%A1%EO%B8%9A%EO%B8%B9%EO%B8%

A3%EO%B8%93%EO%B9%8C.pdf N

i a i q n f ~u13rw;ld. (2557). dnnisii u a a u w ~ $ n ~ a d w ~ u o ~ r o p ~ n r ~ ~ ~ a q ~ i i o . Bu6u 18 w q ~ i n i u u

255981n http://www.tpa.or.th/tpanews/upload/mag - contenV87/ContentFilel741.pdf

Z L & J ~ ~ L ~ ~ U ~ L % I ~ ~ ~ R&D i l ' ~ ~ i d o d ~ ~ a ~ ~ m ' ~ ~ ~ ~ d n n ~ b i ~ l ~ i a ~ i i ~ 2012. (2555). ii~61.1 18

wqwGn~uu 2559 q i n https://www.blognone.com/node/30181

171o~~iio?~u1a1ni~~~Burdu0~)~w"i~n~nm"1. (2559). auiuq.iiio. iiu6u 18 w q ~ I n i u u

2559 o m http://www.siamturakij.com/main/news - content.php?nt=4&nid=7104

Big Data ~dn lan luw l j i ~ac l#nap . (2559). 3uh 18 wqfi$muu 2559 o in

http://www.cu-tcdc.com/biy-data-when-data- kes-the-world-go-round/?lang=TH

EGA dxnifluwu C i i Big Data nin?podvlU. zu6u 18 wqwinluu 2559 o ln

https://www.ega.or.th/th/contenV913/4192/