Amasistimu Wokuphatha Isizindalwazi nama-DBMS

Ukuze uqonde izinhlelo zolwazi ezisetshenziswa enhlanganweni, izindaba ezimbili kufanele zinakwe:

• umlando wobuchwepheshe, ngoba uma inkampani yazalwa cishe eminyakeni engamashumi amathathu edlule, ubuchwepheshe ezobusebenzisa buyothonywa kakhulu umlando;
• umlando wezinkampani, ngoba ezinkampanini eziningi umlando awukona umugqa, kodwa ungaphansi kokuhlanganiswa, ama-spin-offs, ukuthengwa, ngakho-ke uhlelo lwazo lolwazi luzoshintsha nazo.

Ukuvela kwenkampani kubalulekile kulabo abathuthukisa amasistimu olwazi: amasistimu olwazi ayizinhlangano eziguqukayo futhi kwesinye isikhathi angaphansi kweminqamulajuqu eqinile.

Ukwakha uhlelo lolwazi lwenkampani, okokuqala kudingekile ukuqonda ukuthi ziyini izidingo zezinhlangano. Isinyathelo sokuqala ukuhumusha izidingo zenkampani futhi ufunde ukuqonda izinkinga, uzama ukuqonda ukuthi isebenza kanjani. Eqinisweni, namuhla izinhlangano azisakwazi ukusho ezikudingayo ngaphandle kokucabanga ngesixazululo ezingathanda (ngokwesibonelo, aziceli ukuthi "zikwazi ukuphatha izinto", kodwa zicela "i-a. database okokusebenza). Ngakho-ke kuwumsebenzi wethu ukwazi ukuthi zichazwa kanjani lezi zidingo: inkampani ngayinye inezinjongo nezizathu ezahlukene, ngakho-ke sidinga ukwakha amasistimu asabela kuzo zonke izidingo.

Ngakho-ke inkinga yokuqala ihlanganisa ukukwazi:

• thola lonke ulwazi olungase lube khona, njengoba kungenakwenzeka ukulufinyelela lonke, njengoba kungekho muntu enkampanini owazi zonke izingxenye zesistimu akuphethe,
• ukwazi ukweluleka inkampani ekukhetheni okumele kwenziwe, ukulalela izidingo zayo.

Khona-ke sifuna ukuhlukanisa izici ezintathu zezinhlelo, ukuhlaziya amazinga okuhlanganiswa phakathi kwalawa maqiniso, ukukhomba amaphuzu okuqina, izinkinga ezivelayo (bazosibonisa lapho imibuzo ezoguqula amaphuzu okuqina abe yizinkinga izovela khona. ).

Uma kubhekwa ukuqina okubhekene nezinkinga, umbuzo awusekho lowo wokuhlanganisa a idatha X nge idatha Y, kodwa iwukuchaza amathuba okuhlanganiswa. Izindleko zokuhlanganisa kumele zehliswe, zikwazi ukuvumela inhlangano ukuthi iguqule kakhulu ukwakheka kwayo.

Enye inkinga okufanele ubhekane nayo lapho ubeka khona izinsizakalo: kungenzeka ukuhlomisa inkampani nge-imeyili, kodwa uma kukhona uhlelo lokuphatha amakhasimende, isibonelo, singahlanganisa i-imeyili nalolu hlelo. Eqinisweni, izinhlelo eziningi zokuphatha imibhalo namuhla zihlanganisa ubuchwepheshe obufana ne-imeyili.

Inkinga yokuhlanganisa iyavela futhi kule ndawo: lapho sisondela kakhulu ku-groupware, kuba nezinkinga zokuhlanganisa eziphathelene namathuluzi asetshenziswayo kanye nemikhakha yawo yokusetshenziswa.

Per ragionare meglio, faremo un quadro di quello che c’è in Italia, ngezizathu ezimbili:

• cishe sizozithola sihlaziya izinhlangano zase-Italy;
• Izinkampani zase-Italy zinezici ezihlukile.

admin CEO

👍I-Ejensi Yewebhu Ye-inthanethi | Uchwepheshe we-Web Agency ku-Digital Marketing kanye ne-SEO. I-Web Agency Online iyi-Web Agency. Okwe-Agenzia Web Online impumelelo ekuguquleni kwedijithali isekelwe ezisekelweni ze-Iron SEO inguqulo 3. Okukhethekile: Ukuhlanganiswa Kwesistimu, Ukuhlanganiswa Kwesicelo Sebhizinisi, I-Service Oriented Architecture, Cloud Computing, Indawo yokugcina idatha, ubuhlakani bebhizinisi, Idatha Enkulu, izingosi, ama-intranethi, Isicelo Sewebhu Ukuklama nokuphathwa kolwazi olugciniwe oluhlobene nolunezinhlangothi eziningi Ukudizayina izixhumanisi zemidiya yedijithali: ukusebenziseka kanye Nezithombe. I-Online Web Agency inikeza izinkampani lezi zinsizakalo ezilandelayo: -SEO ku-Google, Amazon, Bing, Yandex; -Web Analytics: Google Analytics, Google Tag Manager, Yandex Metrica; -Ukuguqulwa komsebenzisi: I-Google Analytics, i-Microsoft Clarity, i-Yandex Metrica; -SEM kuGoogle, Bing, Amazon Ads; -Social Media Marketing (Facebook, Linkedin, Youtube, Instagram).

Bona I-Bio Egcwele

Digital Marketing Database I-DBMS Indawo Yokugcina imininingwane Isayensi Yedata Ukukhangisa ku-inthanethi Ukwaziswa kwesimanje I-Web Agency Isikhungo Sokukhangisa Marketing