Ungayithola kanjani inzuzo yokuncintisana kwi-eCommerce encane ene-Big Data

Ungayithola kanjani inzuzo yokuncintisana kwi-eCommerce encane ene-Big Data

Ukuhlaziywa kwedatha enikezwe yi Idatha enkulu futhi ukusetshenziswa kwabo kunganikela abathengisi emkhakheni we-eCommerce okubalulekile inzuzo yokuncintisana. Idatha enkulu igama elisetshenzisiwe amasethi wedatha ahlelekile futhi angahlelwanga makhulu kangangokuba kunzima ukuwasebenzisa kusetshenziswa amasiko wedatha namasu wesoftware. Yize ekuqaleni kungabonakala sengathi ukusetshenziswa kwe-Big Data kutholakala kuphela kubathengisi abakhulu, empeleni yonke i-eCommerce ingazuza, noma ngabe incane kangakanani.

I-Los idatha ehlelekile ye-Big Data yizinkambu ezihleliwe ngaphakathi kwe-database, isibonelo, imininingwane yomuntu siqu yamakhasimende noma umlando wabo wokuthenga. idatha engakhiwe bakhuluma nge-imeyili, amavoti, ama-tweets, "ukuthanda" noma "amasheya" ezinkundleni zokuxhumana. Ayikho le datha engahleliwe ehlala ku-database engaguquki engatholwa ngabathengisi; kodwa-ke, zilithuluzi eliwusizo kakhulu lezinkampani.

Abahwebi bangasebenzisa imiqulu emikhulu yedatha ezimeni eziningi ezahlukahlukene. Lokhu kungabandakanya ukuqhathanisa ithrafikhi etholwa ngumkhiqizo othile kumthamo wokuthengisa walowo mkhiqizo. Uma umkhiqizo uvakashelwa kaningi kepha ukuthengiswa okumbalwa, ukuhlaziywa kwedatha etholakalayo kunganikeza incazelo eholela ekuguqulweni kwesu noma ukutholwa kolunye uhlobo lwephutha.

Ama-4V weDatha Enkulu

I-Los izinselelo ehambisana ne-Big Data ifingqiwe kulokho okubizwe ngama-4V's: ivolumu, isivinini, okuhlukahlukene nenani.

  • Inselelo ye ivolumu Kukhona ngoba izinkampani eziningi zikhiqiza idatha eningi kakhulu kunezinhlelo zazo ezikwazi ukuyiphatha.
  • Inselelo ye-  velocity Kuyinselele lapho ukuhlaziywa kwedatha noma isitoreji kuhamba kancane kunokukhiqizwa kwaso (ngokwesibonelo, uma ngaphandle kwesitolo esiku-inthanethi unenani elikhulu lokuthengiselana ngasikhathi sinye).
  • Inselelo ye- okuhlukahlukene Itholakala ngenxa yesidingo sokucubungula izinhlobo ezahlukahlukene zedatha ukukhiqiza imininingwane oyifunayo (idatha yezokuxhumana, izingcingo zamakhasimende, ukuvakashela idatha, isilinganiso sokuthenga, njll.)
  • Inselelo ye ubuqhawe  Imayelana nokuthi senza kanjani imininingwane idatha enikezayo ibaluleke, ngoba kuphela ngokubuza imibuzo efanele lapho sizothola izimpendulo ezilusizo.

I-eCommerce encane ingayisebenzisa kanjani i-Big Data

Abathengisi abaningi bakholelwa ukuthi izibalo ezinkulu zedatha zitholakala kuphela ezinkampanini ezinkulu. Noma kunjalo, ukuhlaziywa kwedatha kakhulu futhi kubalulekile kumabhizinisi amancane amadivayisi kagesi futhi kubalulekile uku ukuncintisana nabakhulu kunabo bonke, ikakhulukazi labo abangaxhumana namakhasimende abo ngesikhathi sangempela.

para sebenzisa ukusetshenziswa kweBig DataAbathengisi abancane kufanele bazisebenzisele ukwenza ngezifiso izenzo, ukudala amanani aguqukayo, ukunikela ngamakhasimende angcono, ukuphatha ukukhwabanisa, ukubika ngokutholakala kwangempela komkhiqizo nesimo sokuthengiwe okwenziwe, nokwenza izibikezelo ngekusasa.

Ukwenza kube ngokwakho

Wonke umthengi une- indlela ehlukile yokuthenga. Idatha yesikhathi sangempela kufanele isebenze ukukunikeza umuzwa owenziwe waba ngowakho okhomba okuqukethwe kanye namaphromoshini, kufaka phakathi ukuvuza amakhasimende athembeke kakhulu futhi abuyayo.

Amanani ashukumisayo

Ukufeza lokhu ukufeza i- inzuzo enkulu lapho uncintisana nentengo emakethe. Kubo kuyadingeka ukuthi babheke inani lomncintiswano, ivolumu yokuthengisa, izintandokazi zamakhasimende ngokusho kwesifunda, njll.

Isevisi yamakhasimende

Ukuhlinzekelwa kwamakhasimende okuhle kakhulu ngezigaba zonke kubalulekile ekuphumeleleni kwe-eCommerce. I- ukusebenzisana yamakhasimende ngokusebenzisa amafomu okuxhumana noma ukuphawula kumanethiwekhi omphakathi kungasetshenziselwa ukwenza ngcono insizakalo enikezwa lowo mthengi ofanayo. Isixazululo sizoshesha futhi umthengi azizwe ehlinzekwa kangcono.

Ukuphathwa kwenkohliso

Ngenxa ye-Big Data kungenzeka ukuthi kutholakale ukukhwabanisa ngaphambi kwesikhathi, noma ngesikhathi sangempela. Ingqalasizinda edingekayo kulokhu izokwenza leso sitolo esiku-inthanethi sibe yi- indawo ephephile ukuthuthukiswa kwebhizinisi kanye kuzothuthukisa inzuzo yakho.

Ukubonakala kwedatha yomkhiqizo nesimo sokuthenga

Amakhasimende abheke phambili ekwazisweni nge ukutholakala umkhiqizo uqobo noma kuzofanele ulinde futhi, uma kunjalo, isikhathi esingakanani. Ngaphezu kwalokho, kubalulekile ukugcina iklayenti linolwazi nge-eisimo sokuthenga kwakho, ukuze ukwazi njalo ukuthi imikhiqizo yakho ikuphi futhi uqiniseke ukuthi ilawulwa.

Izibikezelo zesikhathi esizayo

Kubalulekile ukuthi ibhizinisi likwazi ukubikezela ukuthengiswa kwalo ngangokunokwenzeka ukuze libe kufakiwe futhi ngilungiselele uku Izinga lezimpahla.

Iziphetho

Kungabonakala njengomsebenzi owesabekayo, kepha intuthuko kwezobuchwepheshe kanye nomncintiswano omkhulu osungulwe phakathi kwabahlinzeki bezixazululo ze-e-commerce nezentengiso kusho ukuthi lezi zinselelo zingabhekana ne-eCommerce encane. Okusemqoka ukuthi ungalulazi ibhizinisi elincane ngoba liku-inthanethi, kepha uthathe ngokunenzuzo ubukhulu bayo obuncane ukugqama lapho ama-greats anzima khona kakhulu. Kepha ngalokhu kufanele ungene kumdlalo omkhulu kakhulu futhi usebenzise izikhali zabo.

Imininingwane engaphezulu - Izindlela zokusebenzisa nokwenza ngcono i-eCommerce ngo-2014


Shiya umbono wakho

Ikheli lakho le ngeke ishicilelwe. Ezidingekayo ibhalwe nge *

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  1. Ubhekele imininingwane: Miguel Ángel Gatón
  2. Inhloso yedatha: Lawula Ugaxekile, ukuphathwa kwamazwana.
  3. Ukusemthethweni: Imvume yakho
  4. Ukuxhumana kwemininingwane: Imininingwane ngeke idluliselwe kubantu besithathu ngaphandle kwesibopho esisemthethweni.
  5. Isitoreji sedatha: Idatabase ebanjwe yi-Occentus Networks (EU)
  6. Amalungelo: Nganoma yisiphi isikhathi ungakhawulela, uthole futhi ususe imininingwane yakho.