Algorithm bayan kiɗa

Matsar, American Idol.

Babban babban nasara na gaba a cikin masana'antar kiɗa ba za a gano shi ba a cikin manyan gasa na gwaninta. Madadin haka, za a gano shi a cikin saitin bayanai ta hanyar hadaddun algorithms da aka ƙera don fallasa amfani da yanayin kasuwanci.

A zahiri, wannan hanyar tana bushewa kuma ba ta da motsin rai fiye da sukar Simon Cowell, amma a zahiri ita ce babbar hanyar da jama'a ke zaɓar "babban abu na gaba." A duk lokacin da jama'a suka danna hanyoyin haɗin yanar gizo na YouTube, suna buga hotunan kide-kide akan Twitter, ko tattaunawa game da makada akan Facebook, suna ba da gudummawa ga tarin bayanai da ake kira manyan bayanai. Kalmar tana nufin tarin saitin bayanai waɗanda suke da girma kuma sun ƙunshi hadaddun alaƙa. Yi tunani game da tsarin hanyoyin sadarwar kafofin watsa labarun. Sun ƙunshi miliyoyin bayanan bayanan masu amfani waɗanda ke haɗe tare ta hanyar abota, 'likes', membobin rukuni, da sauransu. Mahimmanci, manyan bayanai suna madubi tsarin waɗannan dandamali.

A cikin masana'antar kiɗa, manyan bayanai ana samun ta ayyuka kamar siyar da kan layi, zazzagewa, da sadarwar da ake gudanarwa ta aikace-aikace ko mahallin kafofin watsa labarun. Ma'aunin da aka auna sun haɗa da "yawan lokutan da ake kunna waƙa ko tsallake-tsallake, da kuma matakin jan hankalin da suke samu a shafukan sada zumunta dangane da ayyuka kamar son Facebook da tweets." Kayan aikin nazari suna tantance ɗaukacin shaharar shafukan fan da yin rijistar maganganu masu kyau ko mara kyau game da masu fasaha. Tare, wannan bayanin yana gano abubuwan da ke faruwa a halin yanzu, yana kimanta bugun dijital na masu fasaha, kuma yana haifar da siyarwa ta hanyar guda ɗaya, kayayyaki, tikitin kide kide, har ma da biyan kuɗin sabis na yawo na kiɗa.

Dangane da gano sabbin hazaka, manyan bayanai suna taka muhimmiyar rawa wajen samar da sha'awa a manyan alamun rikodin. A yawancin lokuta, kamfanoni suna ƙididdige ra'ayoyin shafi na mai zane, 'masoya', da mabiya. Bayan haka, ana iya kwatanta lambobi cikin sauƙi da sauran masu fasaha a cikin nau'in iri ɗaya. Da zarar wani aiki ya samar da dubu ɗari tare da masu bi Facebook ko Twitter, manajojin gwaninta suna lura kuma su fara ɗaukar sha'awa a cikin masana'antar kiɗa da kanta.

Babban bayanai suna zaɓar babban babban 40 na gaba

Ikon gano abubuwan da ke faruwa a halin yanzu da tsinkayar megastar na gaba ya zo tare da manyan ladan kuɗi ga duk wanda ke da hannu. Misali, masana kimiyyar bayanai sun yi nazarin tasirin kafofin watsa labarun akan albam na iTunes da bin diddigin tallace-tallace ta hanyar kwatanta ma'auni da kuɗin shiga na ɗayan. Sun kammala cewa ayyukan kafofin watsa labarun yana da alaƙa da haɓakar kundi da tallace-tallacen waƙa. Ƙari na musamman, ra'ayoyin YouTube suna da tasiri mafi girma akan tallace-tallace; wani binciken da ya haifar da lakabin rikodin da yawa don loda manyan bidiyon kiɗan kasafin kuɗi a kan dandamali don haɓaka marasa aure. Kafin kashe miliyoyin mutane kan samar da bidiyo, ana amfani da bincike don gano waɗanne waƙa ne da alama za su yi fice bisa ayyukan kan layi na masu sauraro. Daidaiton waɗannan tsinkaya yana da alaƙa da ingancin babban bincike na bayanai.

'Yan kasuwa a cikin masana'antar kiɗa yanzu suna gwaji tare da sababbin hanyoyin haɓaka algorithms waɗanda ke girbi bayanai tare da inganci da daidaito. Ɗaya daga cikin fitattun misalan shine haɗin gwiwa tsakanin EMI Music da Data Science London mai suna The EMI Million Interview Dataset. An kwatanta shi a matsayin "ɗaya daga cikin mafi arziƙi kuma mafi girma na bayanan yabo na kiɗa da aka taɓa samarwa - ƙaƙƙarfan, na musamman, mai wadata, ingantaccen tsarin bayanai da aka haɗa daga bincike na duniya wanda ya ƙunshi buƙatu, halaye, halaye, sabawa, da kuma jin daɗin kiɗan kamar yadda aka bayyana ta Fans na kiɗa."

David Boyle, Babban Mataimakin Shugaban Kasa na Insight a EMI Music, ya bayyana, "(Yana) ya ƙunshi tambayoyi miliyan guda da ke ba da labarin batutuwa kamar matakin sha'awar wani nau'in kiɗa da ƙaramin nau'in, hanyoyin da aka fi so don gano kiɗa, masu fasahar kiɗan da aka fi so, tunani game da satar kiɗa, kiɗan kiɗa, tsarin kiɗan, da ƙididdigar yawan jama'a."

Manufar aikin shine a saki wannan tarin bayanai ga jama'a da kuma inganta ingancin kasuwanci a cikin masana'antar kiɗa.

"Mun sami babban nasara ta amfani da bayanai don taimaka mana da masu fasaharmu su fahimci masu amfani, kuma muna farin cikin raba wasu bayananmu don taimakawa wasu suyi haka," in ji Boyle.

A cikin 2012, EMI Music and Data Science London ta ɗauki aikin mataki ɗaya gaba ta hanyar ɗaukar nauyin Kimiyyar Bayanan Kiɗa na Hackathon. EMC, jagoran duniya a kimiyyar bayanai da manyan hanyoyin magance bayanai, ya shiga harkar kuma ya samar da kayan aikin IT. A cikin tsawon sa'o'i 24, masana kimiyyar bayanai 175 sun ɓullo da dabaru 1,300 da algorithms don amsa tambayar: "Shin za ku iya hasashen idan mai sauraro zai so sabuwar waƙa?" Sakamakon ya nuna ikon haɗin kai kuma mahalarta sun samar da dabaru waɗanda aka bayyana a matsayin aji na duniya.

"Bayanan da aka bayyana a cikin wannan hackathon suna nuna ƙarfi da yuwuwar da Big Data ke riƙe - duka don ganowar hankali da kuma ƙimar kasuwancin haɓaka ga ƙungiyoyi na kowane nau'in," in ji Chris Roche, Daraktan Yanki na EMC Greenplum.

Amma ta yaya kuke biyan masu fasaha?

Bayan masana’antar ta tantance waka ta yi tasiri tare da fitar da ita a matsayin guda daya, ta yaya ake kirga kudaden sarauta a lokacin da ake kunna wakar a shafukan sada zumunta ko kuma masu yawo? A yanzu, "tambayoyin rikodin kowane girma suna fuskantar matsalar haɓakar samun daidaita bayanan da aka samu daga kamfanonin yawo kamar Spotify, Deezer, da YouTube, amma suna da ƙarancin mutane fiye da kowane lokaci don yin hakan."

Ɗaya daga cikin ƙalubale na tsakiya daga hangen nesa na sarrafa bayanai shine yawancin tsarin sarrafa bayanai ba a ɓullo da su ba don sarrafa saitunan bayanai masu girma da rikitarwa kamar manyan bayanai. Misali, girman fayilolin bayanan dijital da masu rarraba kiɗa ke samarwa sun wuce abin da shirye-shirye kamar Excel ke iya ɗauka. Wannan yana haifar da matsaloli gami da ɓacewar bayanai da alamun fayil waɗanda basu dace da software na lissafin kuɗi ba.

A mafi yawan lokuta, duk waɗannan batutuwa ana warware su ta hanyar lissafin kuɗi, suna ƙara ƙarin lokaci da aiki zuwa nauyin aiki mai nauyi. A yawancin lokuta, an ɗaure kaso mai yawa na abin da ke kan alamar a cikin sashen lissafin kuɗi.

Don magance waɗannan batutuwa, 'yan kasuwa suna haɓaka dandamalin bayanan sirri na kasuwanci waɗanda ke da ikon tsarawa da kuma nazarin manyan bayanai. Ɗaya daga cikin mafi kyawun misalan shine kamfanin Rebeat na Austriya, wanda ya bayyana ayyukansu a matsayin " lissafin sarauta tare da dannawa uku." An kafa shi a cikin 2006, ya girma cikin sauri zuwa manyan masu rarraba dijital na Turai kuma yana ba da damar yin amfani da sabis na dijital 300 a duk duniya. Mahimmanci, Rebeat yana daidaita ayyukan lissafin kuɗi kuma yana sarrafa ayyukan baya, kamar daidaitattun filayen bayanai a cikin software na lissafin kuɗi, don haka sashen lissafin kuɗi yana da 'yanci don sarrafa kasafin kuɗi. Har ila yau, suna samar da abubuwan more rayuwa don gudanar da biyan kuɗin sarauta daidai da yarjejeniyar kwangila, yarjejeniya kai tsaye tare da shagunan kiɗa na dijital, suna samar da zane-zane don bin diddigin tallace-tallace, kuma mafi mahimmanci, fitar da bayanai cikin fayilolin CSV.

Tabbas, sabis ɗin yana zuwa tare da farashi. Forbes ya ba da rahoton cewa alamun rikodin dole ne su yi amfani da Rebeat a matsayin mai rarrabawa don su sami damar samun damar bayanan kamfani, wanda ke biyan hukumar tallace-tallace 15% da ƙayyadaddun kuɗin $ 649 kowace shekara. Ƙididdiga sun nuna, duk da haka, cewa a mafi yawan lokuta alamar lissafin lissafin lakabi yakan kashe kuɗi mai yawa, wanda ke nufin cewa shiga tare da Rebeat zai iya zama mai tanadin kuɗi.