Ukuqonda Izidingo Zamakhasimende Akho nge-Predictive Analytics

Ukuqagela Ukuhlaziya

Kwabaningi ochwepheshe bezentengiso nabezokumaketha, kuwumzabalazo oqhubekayo wokuthola noma yikuphi ukuqonda okwenzekayo kusuka kudatha ekhona. Umthamo ochotshozayo wemininingwane engenayo ungasabisa futhi uqine ngokuphelele, futhi uzame ukukhipha i-ounce yokugcina yenani, noma ngisho nokuqonda okubalulekile, kuleyo datha kungaba ngumsebenzi owesabekayo.

Esikhathini esedlule, izinketho bezimbalwa:

  • Qasha ososayensi bemininingwane. Indlela yokuthola abahlaziyi bemininingwane yobuchwepheshe ukuthi bahlaziye idatha babuye nezimpendulo kungabiza futhi kudle isikhathi, ukuhlafuna amasonto noma izinyanga, futhi kwesinye isikhathi kubuyise imiphumela engabazisayo.
  • Thembela emathunjini akho. Umlando ukhombisile ukusebenza ngempumelelo kwaleyo miphumela kungasolisa ngokwedlulele.
  • Linda ubone ukuthi kwenzekani. Le ndlela esebenzayo ingashiya inhlangano ku-miasma yokuncintisana nawo wonke umuntu othathe indlela efanayo.

Izibalo zokubikezela kuqhekeze ukuqonda okuhlangene kokuthengiswa kwamabhizinisi kanye nabachwepheshe bezentengiso, okubenza bakwazi ukuthuthukisa futhi balungise kahle amamodeli wokufaka amagoli aqinisa ukusebenza komkhankaso.

Ukuqagela analytics ubuchwepheshe buguqule indlela amabhizinisi aqonda ngayo, ahlola futhi ahlanganyele ngayo amaklayenti abo amanje nabazosebenzisa i-AI nokufunda ngomshini, futhi kwenziwa inguquko ephawulekayo yokuthi abathengisi nabathengisi bezentengiso bahlaziya kanjani futhi bakhiphe inani kusuka kudatha yabo. Lokhu kuye kwaholela ekuchazweni okuqhubekayo analytics ukuthuthuka ekwakhiweni nasekusetshenzisweni kwamathuluzi asebenzisa idatha ngempumelelo nangaphezulu ngokujulile mayelana namakhasimende ebhizinisi nezidingo zawo.

Ukuqagela analytics ukuqhubeka kwakhela ekufundeni komshini wokusebenzisa kanye ne-AI, ukuhlanganisa ngokushesha amamodeli wokuqagela abekiselwe. Lezi zinhlobo zinika amandla ukuhola kokuhola, isizukulwane esisha sokuhola kanye nemininingwane yokuhola ethuthukisiwe ngokusebenzisa idatha yamakhasimende ekhona kanye nedatha yokulindela nokubikezela ukuthi labo abaholayo noma amakhasimende bazobandakanya kanjani - konke ngaphambi kokuba umsebenzi wokuthengisa nowokumaketha ungaqali.

Ubuchwepheshe obusha, obushumekwe kuzixazululo ezinjenge I-Microsoft Dynamics 365 futhi I-Salesforce CRM, iletha ikhono lokumodela indlela yokuziphatha kwamakhasimende ngamahora ngezinqubo ezisebenziseka kalula ezizenzakalelayo futhi ezingadingi ososayensi bedatha. Inika amandla ukuhlolwa okulula kwemiphumela eminingi nokwaziswa kusengaphambili okuholela ekutheni kuthengwe umkhiqizo wenkampani, ubhalisele incwadi yezindaba yenkampani, noma uguqulele ikhasimende ngezinye izindlela, nokuthi yikuphi ukuhola okungenzeka kungalokothi kuthenge, akunandaba idiliwe limnandi kangakanani.

Lolu lwazi olujulile lokuziphatha lunika amandla abathengisi ukuthi basebenzise isipiliyoni samakhasimende ngokusebenzisa amandla amamodeli asuselwa ekufundeni komshini, futhi zombili izimfanelo zedatha yebhizinisi neyomthengi ukuthola amamodeli wokuhola wokuqina, wokuqonda, nowokubikezela. Izinga lokuguqulwa lingakhuphuka ngamaphesenti angama-250-350, futhi amanani we-unit ngayinye amanani akhuphuke ngamaphesenti angama-50.

Ukuqagela, ukumaketha okusebenzayo kusiza ibhizinisi ukuthi lingazuzi nje kuphela Okuningi amakhasimende kodwa kangcono amakhasimende.

Lokhu kuhlaziywa okujulile kuholela ekuqondeni okukhulu kwebhizinisi noma ngamathuba abantu okuthenga noma okubandakanya, ngenkathi futhi kunikeza abathengisi ithuba lokuthola ubuhlakani obusebenzayo obugcina bubikezela isimilo esizayo. Uma amaqembu okuthengisa nokumaketha engathola ukuqonda ngokuziphatha kwamanje nokwenzeka esikhathini esizayo kwamakhasimende abo, maningi amathuba okuthi bathule izinsizakalo nemikhiqizo ezobakhanga. Futhi lokho kusho ukuthengisa nokusebenza kahle kakhulu, futhi ekugcineni amakhasimende amaningi. UChris Matty, oyi-CEO nomsunguli we IVersium

Ukuqagela analytics inika amandla amaqembu okuthengisa nokumaketha ukukhipha imininingwane ebalulekile kumininingwane yamakhasimende angokomlando ne-CRM ukuklama amamodeli wokuqagela.

Ngokwesiko, Ukuphathwa Kobudlelwano Namakhasimende (i-CRM) bekuyinto engenzi lutho, isasebenza ukuhamba komsebenzi. Ngokunye ukusebenzisa imali nesikhathi kusosayensi bedatha noma ekuzingeleni, ukusebenza ngendlela elula kuyindlela encane eyingozi. Ukuqagela analytics imizamo yokuguqula i-CRM yokuthengisa nokumaketha ngokunciphisa ubungozi nokuvumela ithimba lezokumaketha ukuthi liqhube imikhankaso yokuthengisa nokumaketha ngokukhalipha.

Ngaphezu kwalokho, ukubikezela analytics inika amandla ukukhiqizwa kwamanani wokuhola wokuqagela womabili amathemba wokumaketha we-B2C ne-B2B anika amandla amaqembu wokumaketha nokuthengisa ukuthi agxile ku-laser kwesokudla amakhasimende ngesikhathi esifanele, ebaqondisa kumikhiqizo efanele nezinsizakalo ezilungile. Lezi zinhlobo ze analytics vumela abasebenzisi ukuthi bakhiqize futhi bengeze uhlu olusha, lokuguqulwa okuphezulu okususelwa kumaphrofayli akhona wamakhasimende enhlangano ngokusebenzisa isethi yedatha yokuphathelene noma indawo yokugcina idatha.

Amanye amacala wokusetshenziswa ajwayelekile wedatha enkulu analytics ugxile ekuphenduleni umbuzo, Yini ikhasimende elithenga kakhulu? Akumangalisi ukuthi lokhu kugandwe kahle yi-BI futhi analytics amathuluzi, ngososayensi bedatha abathuthukisa ama-algorithms wesiko kumasethi wedatha angaphakathi, futhi muva nje, ngamafu wokumaketha ahlinzekwa abahlinzeki abanjengo-Adobe, IBM, Oracle, ne-Salesforce. Ngonyaka odlule, umdlali omusha uqhamuke nethuluzi lokuzenzela ukuthi, ngaphansi kwamakhava, asebenzise imishini yokufunda, exhaswa yidatha yokuphathelene enezimpawu ezingaphezu kwesigidi esisodwa. Inkampani [yi] Versium. Tony Baer, ​​Umphenyi Omkhulu ku I-Ovum

Ukuqagela analytics ekuziphatheni kwabathengi kuyinsimu enabantu abaningi, kusho uBaer. Noma kunjalo, ngokususelwa ekuboneni lokho idatha iyinkosi, unikeza ukuthi izixazululo ezinjenge-Versium zingenye indlela ephoqelela ngoba zinikeza ukufinyelela enqolobaneni enkulu yedatha yabathengi neyebhizinisi ngeplatifomu efaka ukufunda komshini ukusiza abathengisi ukubikezela indlela yokuziphatha kwamakhasimende.

Mayelana neVersium

IVersium iletha ukubikezela okuzenzakalelayo analytics izixazululo, ezinikeza ukuhlakanipha kwedatha okusebenzayo ngokushesha, ngokunembile nangaphansi kwezindleko zokuqasha amaqembu abizayo esayensi yedatha noma izinhlangano zezinsizakalo zobungcweti.

Izixazululo zikaVersium ziphakamisa indawo yokugcina izinto eningi yeLifeData®, equkethe ngaphezu kwezinkulungwane ezi-1 trillion izimfanelo zomthengi nedatha yebhizinisi. I-LifeData® iqukethe imininingwane yokuziphatha eku-inthanethi nokungaxhunyiwe ku-inthanethi kubandakanya imininingwane yezithombe zenhlalo, idatha yesikhathi sangempela, intshisekelo yokuthenga, imininingwane yezimali, imisebenzi namakhono, ukubalwa kwabantu nokuningi. Lezi zimfanelo zifaniswa nedatha yangaphakathi yebhizinisi, futhi isetshenziselwa amamodeli wokufunda womshini ukuthuthukisa ukutholwa kwamakhasimende, ukugcinwa kanye nokuthengiswa okuthengiswayo kanye nemisebenzi yokuthengisa ye-upsell.

Funda kabanzi Ngokuqagela kweVersium

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