Izibalo nokuhlola

Ukuqonda Izidingo Zamakhasimende Akho nge-Predictive Analytics

Kwabaningi ochwepheshe bezokuthengisa nabamaketha, kuwumshikashika oqhubekayo ukuthola noma yimiphi imininingwane engenzeka kudatha ekhona. Umthamo ocindezelayo wedatha engenayo ungase usabise futhi uxake ngokuphelele, futhi ukuzama ukukhipha i-ounce yokugcina yenani, noma ngisho nemininingwane eyinhloko, kuleyo datha kungaba umsebenzi onzima.

Esikhathini esidlule, izinketho bezimbalwa:

  • Qasha ososayensi bedatha. Indlela yokuthola abahlaziyi bedatha abangochwepheshe ukuze bahlaziye idatha futhi babuye nezimpendulo ingabiza futhi idle isikhathi, ihlafune amasonto noma ngisho izinyanga, futhi ngezinye izikhathi isabuyise imiphumela engabazekayo.
  • Thembela emathunjini akho. Umlando ubonise ukusebenza kwaleyo miphumela kungaba nokungabazekayo nakakhulu.
  • Linda futhi ubone ukuthi kwenzekani. Le ndlela esebenzayo ingashiya inhlangano ku-miasma yokuncintisana nawo wonke umuntu othathe indlela efanayo.

Izibalo zokubikezela baye baphula ukwazi okuhlangene kokuthengiswa kwebhizinisi nezingcweti zokumaketha, okubenza bakwazi ukuthuthukisa nokushuna kahle amamodeli wamaphuzu okuhola athuthukisa ukusebenza komkhankaso.

Ukuqagela analytics ubuchwepheshe buye baguqula indlela amabhizinisi aqonda ngayo, ahlola futhi abandakanya amakhasimende awo amanje kanye nalawo alindelekile esebenzisa i-AI nokufunda ngomshini, futhi kuba nenguquko ebalulekile endleleni ochwepheshe bezokuthengisa nabamaketha bahlaziya futhi bakhiphe inani kudatha yabo. Lokhu kuholele ekutheni kube nemithetho ethile analytics ukuthuthukiswa ekwakhiweni nasekusetshenzisweni kwamathuluzi asebenzisa ngempumelelo nangokujulile idatha emayelana namakhasimende ebhizinisi kanye nezidingo zawo.

Ukuqagela analytics iqhubeka yakhela ekufundeni komshini osebenzayo kanye ne-AI, ukuhlanganisa ngokushesha amamodeli aqagelayo enziwe ngokwezifiso. Lawa mamodeli anika amandla amaphuzu okuhola, isizukulwane esisha esiholayo kanye nedatha eholayo ethuthukisiwe ngokusebenzisa ikhasimende elikhona lenhlangano kanye nedatha yethemba nokubikezela ukuthi labo bahola noma amakhasimende bazohlanganyela kanjani - konke ngaphambi kokuthi ukuthengisa nokumaketha kuqale.

Ubuchwepheshe obusha, obufakwe kuzixazululo ezifana I-Microsoft Dynamics 365 futhi I-Salesforce CRM, iletha ikhono lokumodela ukuziphatha kwekhasimende ngamahora ngezinqubo ezisebenziseka kalula ezizenzekelayo futhi ezingadingi ososayensi bedatha. Inika amandla ukuhlolwa okulula kwemiphumela eminingi kanye nolwazi olusengaphambili oluholela okungenzeka kakhulu lokuthenga umkhiqizo wenkampani, ubhalisele incwadi yezindaba yenkampani, noma uguqulele ikhasimende ngezinye izindlela, kanye nokuthi yimiphi imikhondo engeke iphinde ithengwe, kungakhathaliseki ukuthi ikuphi. ukuthi idili limnandi kangakanani.

Lolu lwazi olujulile lokuziphatha lunika abakhangisi amandla okuthuthukisa ukuzizwisa kwekhasimende ngokusebenzisa amandla amamodeli asekelwe emshinini, kanye nezibaluli zedatha yebhizinisi neyomthengi ukuze bathole amamodeli aholayo aqinile, ahlakaniphile, nabikezelayo. Amazinga okuguqulwa angakhuphuka cishe ngamaphesenti angu-250-350, futhi iyunithi ye-oda ngalinye likhuphuke ngamaphesenti angu-50.

Ukubikezela, ukumaketha okusebenzayo kusiza ibhizinisi ukuthi lingagcini ngokuthola Okuningi amakhasimende kodwa kangcono amakhasimende.

Lokhu kuhlaziya okujulile kuholela ekuqondeni okwengeziwe kwamathuba ebhizinisi noma abantu ngabanye okuthenga noma ukuzibandakanya, kuyilapho futhi kunikeza abakhangisi ukufinyelela ekuhlakanipheni okubambekayo okubikezela ukuziphatha kwesikhathi esizayo. Uma amaqembu okuthengisa nawokuthengisa engathola ukuqonda mayelana nokuziphatha kwamakhasimende abo kwamanje nalokho okungaba khona esikhathini esizayo, maningi amathuba okuthi bethule izinsiza nemikhiqizo ezobakhanga. Futhi lokho kusho ukuthengisa nokuthengisa okuphumelelayo, futhi ekugcineni amakhasimende amaningi. UChris Matty, i-CEO kanye nomsunguli we IVersium

Ukuqagela analytics inika amandla amaqembu okuthengisa nawokuthengisa ukuthi akhiphe imininingwane ebalulekile kukhasimende elingokomlando nedatha ye-CRM ukuze adizayine amamodeli aqagelayo.

Ngokwesiko, Ukuphathwa Kobudlelwane Bekhasimende (CRM) bekuyinto engenzi lutho, isasebenza ukuhamba komsebenzi. Okunye okungenziwa wukuchitha imali nesikhathi kososayensi bedatha noma ekuzingeleni, ukusabela kuyindlela engabizi kakhulu. Ukubikezela analytics imizamo yokuguqula i-CRM yokuthengisa nokumaketha ngokunciphisa ubungozi kanye nokuvumela ithimba lezentengiso ukuthi liqhube imikhankaso yokuthengisa ehlakaniphile nemikhankaso yokumaketha.

Ngaphezu kwalokho, ukubikezela analytics inika amandla ukukhiqizwa kwamaphuzu okubikezela okuholayo kuwo womabili amathemba okumaketha e-B2C kanye ne-B2B avumela amaqembu okumaketha nawokuthengisa ukuthi agxile ku-laser kwesokudla amakhasimende ngesikhathi esifanele, ewaqondisa emikhiqizweni efanele namasevisi alungile. Lezi zinhlobo ze analytics vumela abasebenzisi ukuthi bakhiqize futhi bangezelele uhlu olusha, olunokuguqulwa okuphezulu kwethemba okusekelwe kumaphrofayela akhona ekhasimende enhlangano ngokusebenzisa isethi yedatha yobunikazi noma inqolobane yedatha.

Ezinye zezigameko zokusetshenziswa ezivame kakhulu zedatha enkulu analytics bagxile ekuphenduleni umbuzo, Yiliphi ikhasimende okungenzeka lithenge kakhulu? Akumangazi ukuthi lokhu kunyathelwe kahle yi-BI kanye analytics amathuluzi, ngososayensi bedatha abakha ama-algorithms angokwezifiso kumasethi edatha yangaphakathi, futhi kamuva nje, ngamafu okuthengisa ahlinzekwa abahlinzeki abafana ne-Adobe, IBM, Oracle, ne-Salesforce. Onyakeni odlule, umdlali omusha uqhamuke nethuluzi lokuzisiza, ngaphansi kwamakhava, elihlanganisa ukufunda komshini, elisekelwa isethi yedatha yobunikazi enezibaluli ezingaphezu kwesigidi sesigidi. Inkampani [iyi] Versium. Tony Baer, ​​Umhlaziyi Omkhulu ku I-Ovum

Ukuqagela analytics mayelana nokuziphatha kwabathengi inkundla enabantu abaningi, kusho u-Baer. Noma kunjalo, ngokusekelwe ekuqapheleni lokho idatha iyinkosi, unikeza ukuthi izixazululo ezifana nezika-Versium ziyindlela ephoqelelayo ngoba zinikeza ukufinyelela kunqolobane enkulu yedatha yabathengi neyebhizinisi enenkundla ehlanganisa ukufundwa komshini ukusiza abakhangisi babikezele ukuziphatha kwamakhasimende.

Mayelana ne-Versium

IVersium iletha ukubikezela okuzenzakalelayo analytics izixazululo, ezihlinzeka ngobuhlakani bedatha obusebenzisekayo ngokushesha, ngokunembe kakhulu nangengxenye yezindleko zokuqasha amaqembu abizayo esayensi yedatha noma izinhlangano zamasevisi ochwepheshe.

Izixazululo ze-Versium zithuthukisa indawo yokugcina impahla yenkampani ye-LifeData®, equkethe ngaphezu kwe-1 trillion yabathengi kanye nezimfanelo zedatha yebhizinisi. I-LifeData® iqukethe idatha yokuziphatha eku-inthanethi nengaxhunyiwe ku-inthanethi ehlanganisa imininingwane yezithombe zomphakathi, idatha esekelwe ezenzakalweni zesikhathi sangempela, izithakazelo zokuthenga, ulwazi lwezezimali, imisebenzi namakhono, izibalo zabantu nokunye. Lezi zibaluli zifaniswa nedatha yangaphakathi yebhizinisi, futhi zisetshenziswa kumamodeli okufunda emshinini ukuze kuthuthukiswe ukutholwa kwamakhasimende, ukugcinwa kanye nemisebenzi yokuthengisa ethengiswayo futhi edayiswa kakhulu.

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Funda kabanzi mayelana ne-Versium Predict

Douglas Karr

Douglas Karr i-CMO ye VulaINSIGHTS kanye nomsunguli we Martech Zone. UDouglas usize inqwaba yeziqalo eziphumelelayo ze-MarTech, uye wasiza ekukhuthaleni okungaphezu kuka-$5 bil ekuthengeni nasekutshalweni kwe-Martech, futhi uyaqhubeka nokusiza izinkampani ekusebenziseni nasekuzenzeleni amasu azo okuthengisa nokumaketha. UDouglas uyingcweti yokuguqula idijithali eyaziwa emhlabeni wonke kanye nesikhulumi se-MarTech. UDouglas futhi ungumbhali oshicilelwe wencwadi kaDummie kanye nencwadi yobuholi bebhizinisi.

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