Esikhathini samanje sedijithali, ukuncintisana kwezohwebo nge-inthanethi kushubile. Kodwa-ke, ngisho namabhizinisi amancane eCommerce anethuba elibalulekile lokugqama uma azi ukuthi angasetshenziswa kanjani amandla Idatha enkulu. Kodwa bangakwenza kanjani? Lesi sihloko sinikeza ukubuka okuningiliziwe kokuthi izitolo ezincane ze-intanethi zingathola kanjani a inzuzo yokuncintisana usebenzisa ukuhlaziya idatha, ukuthuthukisa amasu kanye nokuhlinzeka ngolwazi lomuntu siqu kumakhasimende akho.
Iyini Idatha Enkulu futhi kungani ibalulekile ku-eCommerce encane?
El Idatha enkulu isho amanani amakhulu edatha, ehlelekile futhi engahlelekile, izinkampani ezingawaqoqa futhi zizihlaziye ukuze zithole imininingwane ebalulekile. Lolu lwazi luyasiza nokwandisa izinqubo, hlela amasevisi y yenza izinqumo ezinolwazi.
Ngomongo wamabhizinisi amancane we-elekthronikhi, Idatha Enkulu inikeza indlela yoku izinga inkundla yokudlala. Nakuba ekuqaleni kungase kubonakale sengathi imidondoshiya efana ne-Amazon noma i-Alibaba kuphela ekwazi ukufinyelela lawa mathuluzi, iqiniso liwukuthi kunezixazululo ezifinyelelekayo zabo bonke osayizi bebhizinisi.
Ihlukaniswa kanjani idatha ye-Big Data?
I-Big Data ihlukaniswa kakhulu ngokuthi:
- Idatha eyakhiwe: Lena idatha ehlelwe kuzinqolobane ezinezinkambu ezichaziwe, njengamagama amakhasimende, amakheli, nomlando wokuthenga.
- Idatha engahlelekile: Kuhlanganisa ulwazi olunjengama-imeyili, okuthunyelwe kwenkundla yezokuxhumana, okuthandwayo namazwana, okungangeni kalula kusizindalwazi esivamile.
Zombili izinhlobo zedatha zibalulekile ekuqondeni amakhasimende, ukuthola amaphethini, kanye nokwandisa amasu okuhweba. Isibonelo, ukuhlaziya umlando wokuthenga (idatha ehleliwe) ehlanganiswe nokusebenzisana kwenkundla yezokuxhumana (idatha engahlelekile) kunganikeza ukuqonda. ukubuka okuphelele kwekhasimende.
Ama-4V weDatha Enkulu
Ukuze uqonde i izinselelo y amathuba yeBig Data, kubalulekile ukuqonda ama-4V ayichazayo:
- Ivolumu: Inani elikhulu ledatha izinkampani ezikhiqiza nsuku zonke.
- Ijubane: Isivinini idatha ekhiqizwa ngaso futhi kufanele sicutshungulwe.
- Okunhlobonhlobo: Ukwehlukahlukana kwamafomethi edatha, ukusuka ezithombeni kuya ezinombolweni nombhalo.
- Inani: Amandla okuguqula idatha ibe imininingwane esebenzisekayo newusizo yebhizinisi.
I-eCommerce encane ingabhekana nayo izinselelo okuhlobene nalawa ma-4V, kodwa ngamathuluzi afanele, kungenzeka ukuguqula lezi zinselele zibe ngamathuba.
Amasu abalulekile okusebenzisa i-Big Data ku-eCommerce encane
Amabhizinisi amancane e-elekthronikhi angasebenzisa uchungechunge lwe amasu Ukwandisa izinzuzo zeDatha Enkulu:
Ukwenza kube ngokwakho umuzwa wamakhasimende
NgeDatha Enkulu, kungenzeka hlaziya ukuziphatha weklayenti ngalinye futhi unikeze ulwazi lomuntu siqu. Isibonelo, isitolo singancoma imikhiqizo ngokusekelwe ekuthengeni kwangaphambilini noma ukusebenzisana komsebenzisi kumanethiwekhi omphakathi. Lelisu aligcini nje ngokukhulisa i ukwaneliseka kwamakhasimende, kodwa futhi ithuthukisa amazinga okuguqulwa.
Amanani ashukumisayo
Ukuhlaziywa kwedatha kuvumela lungisa amanani ngesikhathi sangempela kucatshangelwa izici ezifana nesidingo, ukuncintisana kanye nezintandokazi zesifunda. Lokhu kunikeza a inzuzo yokuncintisana okubalulekile, ikakhulukazi ezimakethe lapho intengo iyisici esibalulekile sesinqumo.
ukuphathwa kwempahla
Idatha Enkulu isiza ukubikezela ukufunwa futhi uthuthukise i-inventory. Lokhu akunciphisi kuphela izindleko, kodwa futhi kuqinisekisa ukuthi imikhiqizo efunwa kakhulu ihlale itholakala kumakhasimende.
Ukuhlonza izitayela zemakethe
Ukuhlaziywa kokuqagela okusekelwe kudatha enkulu kuyavumela lindela izitayela yemakethe. Isibonelo, uma imikhiqizo ethile noma izigaba zithola ukuduma endaweni ethile, ibhizinisi lingakwazi lungisa ngokushesha ukwanelisa leso sidingo.
ukutholwa kokukhwabanisa
Idatha Enkulu ingasetshenziswa bona amaphethini ukuthengiselana okusolisayo futhi kuvimbele ukukhwabanisa, kudala indawo ephephile yakho kokubili inkampani namakhasimende ayo.
Izindaba zempumelelo ekusebenziseni Idatha Enkulu
Amabhizinisi amaningi amancane e-eCommerce abonise ukuthi Idatha Enkulu ingenza umehluko:
- Ibhizinisi lendawo lemfashini lisebenzise izibalo zedatha ukuhlonza ukuthi yimiphi imikhiqizo ebidume kakhulu phakathi kwamasegimenti ahlukene wamakhasimende, lenyusa ukuthengiswa kwayo ngo-40% ezinyangeni eziyisithupha nje.
- Isitolo se-inthanethi samagajethi ezobuchwepheshe sisebenzise amanani aguquguqukayo asekelwe ku-Big Data, elawula ukwenza kahle kakhulu izimbangi ezinkulu ezimakethe zendawo ezithile.
- Umthengisi wokudla okuphilayo ulandelele ukusebenzelana kwenkundla yezokuxhumana futhi walungisa uhlu lwazo ngokufanele, athuthukise ukuphathwa kwesitoko futhi anciphise udoti.
Amathuluzi afinyelelekayo we-eCommerce encane
Kunamathuluzi atholakalayo ukuze ngisho nezitolo ezincane ze-inthanethi zisebenzise i-Big Data. Kusukela ezinkundleni zokuxhumana zamahhala ezifana ne-Google Analytics kuya kuzixazululo ezithuthuke kakhulu njengamathuluzi e-CRM asekelwe kuwo ukuhlakanipha okufakelwayo, ukufinyelela kulobu buchwepheshe akukaze kube lula.
Ukwengeza, izinkampani eziningi zinikeza izinsizakalo zokubonisana ukusiza amabhizinisi amancane asebenzise lezi zixazululo ngendlela efanele.
Ukusebenzisa i-Big Data akuphathelene nobuchwepheshe nje kuphela, kodwa futhi nokuba ne- isu elicacile kanye nokugxila ekutheni idatha ingaxazulula kanjani izinkinga ezithile zebhizinisi.
Endaweni enokuncintisana njengokuhweba nge-elekthronikhi, Idatha Enkulu ayilona nje ithuluzi, kodwa a umehlukanisi oyinhloko lokho kungachaza impumelelo yamabhizinisi amancane. Amathuba ayatholakala, futhi konke ukuchofoza, ukusebenzisana noma ukuthenga kungaba isinyathelo sokuqala esiya esu lokuwina.