Ta yaya Babban Nazarin Bayanai Ya Zama Mai Mahimmanci ga DSPs

Big Data

Babban bayanai analytics ya kasance ginshiƙi ga ingantaccen tsarin kasuwanci da adtech shekaru da yawa yanzu. Tare da ƙididdigar don tallafawa ra'ayin babban tasirin nazarin bayanai, hanya ce mai sauƙi don ba da shawara tsakanin kamfanin ku, kuma mai yiwuwa zai ma sa ku da kyau don kasancewar ku wanda ya ba da shawarar.

Babban bayanai analytics yana bincika manyan ɗakunan bayanai (kamar yadda sunan na iya nunawa) kuma yana bawa masu bincike damar amfani da wannan bayanan don nemo alamu, yanayin kasuwa da fifikon alƙaluma da halayen mai amfani. Hakanan zaku sanya wannan bayanan cikin aiki ta hanyar ƙyale shi ya jagoranci zaɓin kasuwancin da aka sanar. Yana ɗaukar manyan bayanai da tattara su zuwa ƙananan, yanke shawara na ainihin lokacin wanda ya nuna cewa yana da fa'ida ga kowane irin kasuwanci a duniya.

Tsarin Neman-Gefe (DSPs), yi imani da shi ko a'a, sarrafa don samun fa'idodi masu yawa daga haɓakar manyan bayanai analytics, kuma ga dalilin da ya sa:

Yanke Shawarwari Sanarwa

DSP hanya ce don hanzarta aiwatar da siyan sararin talla kuma cikin dacewar hanyar sadarwa ɗaya.
A matsayin wani ɓangare na sarkar buƙatu a cikin wadata da bukata sake zagayowar tattalin arziƙi - DSPs suna cin gajiyar damar da manyan bayanai suka gabatar analytics ta hanyar cin gajiyar bayanan da suke samu.

A cikin sharuɗɗan layman, DSPs na iya tarawa cikin hanzari, gabaɗaya kasuwar damar talla a kan hanyar sadarwa ɗaya. Wannan yana bawa hukuma ko ƙungiyar talla damar yanke shawarar inda zasu sayi sararin talla don kamfen ɗin su na gaba. Manyan layi DSPs suna amfani da algorithms na musamman a cikin batun milliseconds don bawa masu tallatawa damar nemo matakan ƙasa.

Gaba na gaba analytics injuna kamar SQream da nufin sauƙaƙe aikin ta ƙarfin haɓakawa da analytics sarrafawa ta hanya mai ban mamaki, ƙyale masana kimiyyar bayanai da manazarta su tattara bayanai masu dacewa cikin sauri-wuri a cikin manyan ɗakunan bayanai masu yawa. Irin waɗannan injina suna rage latar tambayar mai rikitarwa akan manyan rumbun adana bayanai, wanda ke baiwa Masana Kimiyyar Bayanai damar haɓakawa, gano samfuran bayanai cikin sauri kuma sanya samfuran cikin sauri. Lokacin da samfurin ya fi kyau, dacewa ta fi kyau ga mai amfani, farashin ƙimar ya fi girma, kuma ƙimar da ta fi haka tana ƙaruwa gwargwado / nasara.

Inganta Riba

Dukkanin manufar talla ita ce kara darajar kamfanin ku ta hanyar kara tallace-tallace kuma wannan shine daidai yadda girman bayanai analytics yi aiki tare tare da DSPs. Ta hanyar haɗuwa da kyau ta hanyar manyan hanyoyin bayanai, kuna ƙyale inganta tallan don a tashi. Kuma a wannan yanayin, ba kawai kuna jefa abubuwa ne a bango kuna jira don ganin abin da sandunansu ba, a zahiri kuna yanke shawara ne da bayanai don tallafawa hakan.

Yana buƙatar cikakkun ƙwarewar ilimin nazari don wadatarwa ta hanyar tarin bayanai da fasaha. Wasu lokuta, ƙananan bayanan da kuke buƙatar yin dabarun kasuwancin ku mafi kyau shine allura a cikin ciyawa. Ta hanyar amfani da sabis na DSP, ƙungiyoyin talla da / ko hukumomi suna iya saka kansu cikin mafi kyawun damar, suna ba da garantin mafi kyawun dawowa kan saka hannun jari tare da biyan dinari a kan dala don siyan wurin talla. DSPs suna girbe fa'idodi masu yawa ta hanyar sanya manyan bayanai da aka sanya a cikin algorithms ɗinta, suna mai da shi matsayin siyarwa bisa ƙididdiga ga abokan ciniki masu zuwa.

Yi Amfani da Lambobi cikakke

Babban nazarin bayanai hanya ce mai wahala don kewayawa da kanta. Tare da fitowarta da kuma dacewar sabonta a fagen tallan, DSPs suna iya cin gajiyar wannan bayanan ta hanyar tattara su cikin algorithms ɗinta. Ta hanyar samun tarin bayanai da yawa don zama, DSPs yanzu sun fi dacewa a nan kuma yanzu ta hanyar tattara bayanai masu yawa da kuma watsasu zuwa hanyoyin da suka dace don talla da hukumomin talla.

Misali, manyan bayanai zasu ba da lambobi don ƙungiyar alƙaluma, kuma DSPs zasu tattara shi ta hanyar da ta dace. Ta hanyar nazarin bayanan sauran dandamali suna tattarawa, babban bayanai analytics yana bamu damar yin tambayoyi, da samun bayanai masu ma'ana. Masu tallata Buƙatar-Gefe (DSAs) za su yi amfani da wannan, sannan su samar wa kamfanoni hanyoyin da suka dace don sanya tallace-tallace. DSPs ya kasance ɗayan manyan masu ba da gudummawa ga abin da babban bayanan bayanai ke bayarwa.

Yana da wahala a tantance wanda yafi fa'ida daga ragowar sakamakon babban bayanai analytics. Tun daga lokacin da aka shigar dashi cikin kasuwancin duniya gabaɗaya, munga masu taimako da yawa, amma babu mai bayyani kamar waɗanda suke amfani da DSPs. Ta hanyar amfani da ilimin da aka samu ta hanyar manyan bayanai analytics, DSPs sun zama mafi kyawun samfura don sassan kasuwanci da sassan talla.

Takeaways

  1. Duk manufar talla ita ce haɓaka darajar kamfanin ku ta ƙara tallace-tallace kuma wannan shine daidai yadda girman bayanai analytics yi aiki tare tare da DSPs.
  2. Ta hanyar amfani da sabis na DSP, ƙungiyoyin talla suna iya saka kansu cikin mafi kyawun damar, suna ba da tabbacin mafi kyau dawo kan zuba jari tare da biyan dinari a kan dala don siyan sararin talla
Ba tare da wata shakka ba, DSPs suna ba da dama mafi kyau don haɓaka ROI akan tallace-tallace.

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