Ayikho imboni eyodwa lapho ukuhlolwa kwemibiko ye-BI kubaluleke kakhulu kunezinye. KONKE izimboni zingazuza ekuhlolweni kwe-BI, noma kunjalo kunezinhlobo ezithile zezinhlangano eziqaphela ukubaluleka kokuhlolwa ngaphezu kwezinye.
Kokuhlangenwe nakho kwethu, izinhlangano ezinokugxila kweBusiness Analytics ezivuthiwe futhi eziqondayo izinzuzo ze-Continuous Integration ziyaqonda ukubaluleka kokuhlolwa futhi zabelana ngezimfanelo ezilandelayo:
- Phakathi nezinkampani ezinkulu ezine-BICC noma iBusiness Analytics Center of Excellence futhi edinga ukuphoqelela amazinga abawathuthukisile kusisekelo esikhulu sabasebenzisi.
- Izinkampani ezincane ngezinsizakusebenza ezilinganiselwe neqembu elincane le-IT / BI / Cognos Admin. Kulezi zinkampani, ukuhlolwa okusebenzayo kanye nokwaziswa kungaba isethi yesibili yamehlo ukubanika umlenze emncintiswaneni.
- Izinkampani ezinesiko lokuhlola. Ngamanye amagama, ezinye izinhlangano zinezinqubo ezithuthukiswe kahle zokuphathwa kwamaphrojekthi ezidinga ukuhlolwa njengengxenye esemqoka yawo wonke amaphrojekthi njengoba kuchazwe ngamazinga eHhovisi Lokuphathwa Kwephrojekthi. Lezi zinkampani zenza isabelomali isikhathi kanye namadola okuhlolwa.
- Imboni yezokukhiqiza inomlando omude wokuhlola futhi iyaqonda ukubaluleka kwayo. Ukubuyela emuva eminyakeni engama-30 noma engama-40 manje, sebethuthukise izivivinyo zayo yonke into kusuka ezintweni ezingavuthiwe ukuqeda imikhiqizo.
- Inhlangano ezinakho ukuzimela, Zenzele zona. Lezi zinkampani, yize kungezona izinkampani ezithuthukisa ama-software, zinomlando wokwakha isoftware yazo, ukuhlanganisa ama-Cognos kumasango wangokwezifiso, njll. Bayazi futhi baqonde iSystem Development Life Cycle nokubaluleka kokuhlolwa.
- Noma iyiphi inkampani esebenza ne-Big Data. Imvamisa, lezi zinkampani zivuthwe ngokwengeziwe emkhakheni wokuvuthwa kweBusiness Analytics. Ukuhlolwa kwemibiko nokuphathwa kwemvelo ye-BI akusakwazi ukuphathwa ngesandla.
- Noma ikuphi ukusetshenziswa okukhulu kwe-Cognos ngamaseva amabili noma ngaphezulu ezindaweni eziningiUkuthuthukiswa, Ukuhlolwa, Ukusebenza, Ukukhiqizwa, Ukubuyiselwa Kwezinhlekelele Zokukhiqiza. Qaphela ukuthi kunezindawo ezimbili ezinikezelwe ukuhlolwa nokusebenza. I-ecosystem efana nalena ingaba kalula namaseva ayi-10 kuye kwangama-30 okumele agcinwe evunyelaniswa.
- Noma iyiphi inhlangano ecubungula ukuthuthukiswa kwe-Cognos idinga ukwakha ukuhlolwa kwe-regression kuhlelo lwayo lokuthuthukisa. Kubalulekile ukunquma ukuthi okuqukethwe kwe-BI kusebenza kahle ngaphambi kokuthuthela enguqulweni entsha yeCognos. Ngokuhlolwa okukhona unganquma ukuthi okuqukethwe kuyasebenza yini, uma kukhona ukuwohloka kokusebenza nokuthi imiphumela isebenza yini.
- Noma iyiphi inhlangano enethimba lentuthuko elisatshalalisiwe yabathuthukisi abaningi ezindaweni ezahlukahlukene emhlabeni jikelele. Ukuqinisekisa ukuthi abathuthukisi balandela izindinganiso zebhizinisi nezenzo ezinhle kakhulu kungaba yinselelo. Lapho abathuthukisi bemibiko ezindaweni zesikhathi ezi-3 noma ezi-4 besebenzisana kuphrojekthi, ukuhlangana kuba inselele enkulu kangako. Ukuhlola kuba nzima.
- Noma yiliphi ibhizinisi eliphethwe kahle kufanele liqiniseke ukuthi izinombolo elizisebenzisayo ukwenza izinqumo zinembile. Izinqumo ezihlakaniphile zisekelwe ekuhlaziyweni okunembile, okuthembekile nokufika ngesikhathi kwedatha. Ukuhlola kuqinisekisa ukunemba kwedatha. Ukuhlolwa okuzenzakalelayo kuqinisekisa ukuthi lokhu kuqinisekisa kufika ngesikhathi. Noma yimuphi umkhakha olawulwa kakhulu, onengamele uhulumeni, noma osengcupheni yocwaningomabhuku kufanele ahloniphe isici sokuqinisekisa sokuhlolwa.
Uma ungathanda ukufunda okwengeziwe ngenani lokuhlola imvelo yakho ye-BI nokuhlanganiswa okuqhubekayo, bukela i-webinar ekuhlolweni nasekuthuthukiseni ukusebenza kwe-Cognos.
{{cta(‘931c0e85-79be-4abb-927b-3b24ea179c2f’)}}
