{"id":85951,"date":"2020-06-20T13:42:24","date_gmt":"2020-06-20T11:42:24","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/avito-analytics-meetup"},"modified":"2020-06-20T13:42:24","modified_gmt":"2020-06-20T11:42:24","slug":"avito-analytics-meetup","status":"publish","type":"post","link":"https:\/\/prohoster.info\/da\/blog\/administrirovanie\/avito-analytics-meetup","title":{"rendered":"Avito Analytics meetup","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Hej, Habr! Den 30. juni kl. 18:00 Moskvatid vil vi afholde et online meetup for analytikere. Talere vil diskutere regionale A\/B-tests, styring af produktvisning i webshops, forudsigelse af profit fra nye funktioner og data science i varelevering. <\/p>\n<p><\/p>\n<p>Under klippet, som altid, er der noter fra pr\u00e6sentationerne og alle n\u00f8dvendige links. <\/p>\n<p><\/p>\n<p><img decoding=\"async\" alt=\"Avito Analytics meetup\" src=\"\/wp-content\/uploads\/2020\/06\/430fb103ec48c5e6f87ab0b5cfe56ffb.png\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p><noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2 id=\"doklady\">Presentationer<\/h2>\n<p><\/p>\n<h3 id=\"regionalnye-ab-testy-zachem-nuzhny-i-kak-ustroenynbsp-igor-krasovskiy-avito\">Regionale A\/B-tests. Hvorfor de er n\u00f8dvendige og hvordan de fungerer \u2014 Igor Krasovsky, Avito<\/h3>\n<p><\/p>\n<p><img decoding=\"async\" alt=\"Avito Analytics meetup\" src=\"\/wp-content\/uploads\/2020\/06\/da340fd416c1b896bbcc1fe6da8f1a6e.png\" style=\"display:block;margin: 0 auto;\" \/> <\/p>\n<p><\/p>\n<blockquote><p>Hvad g\u00f8r man, hvis testgruppen i A\/B-testen er helt uklar, og p\u00e5virkningen p\u00e5 brugeren sker offline, for eksempel via regional tv-reklame? Hvordan kan man skabe en kontrolgruppe til en sk\u00e6vvredet test? Hvordan m\u00e5ler man effekten og adskiller den fra tilf\u00e6ldige fejl? Jeg vil fort\u00e6lle, hvordan vi svarede p\u00e5 disse sp\u00f8rgsm\u00e5l i Avito og hvilke problemer vi st\u00f8dte p\u00e5.<\/p>\n<p>Om taleren: I Avito i lidt over 2 \u00e5r, f\u00f8r det arbejdede jeg inden for eCommerce og IT-konsulentvirksomhed. Jeg arbejder nu i Core Analytics-teamet, der ansvarer for omr\u00e5der som Data Management, Strategic Analytics, Core Analytics Platform og Key Account Analytics.<\/p><\/blockquote>\n<p><br clear=\"left\">\n <\/p>\n<p><\/p>\n<h3 id=\"luchshie-data-produkty-rozhdayutsya-vnbsppolyahnbsp-marina-kalabina-lerua-merlen\">De bedste data-produkter findes i felten \u2014 Marina Kalabina, Leroy Merlin<\/h3>\n<p><\/p>\n<p><img decoding=\"async\" alt=\"Avito Analytics meetup\" src=\"\/wp-content\/uploads\/2020\/06\/63409b99367c75e18573b192c73034ea.png\" style=\"display:block;margin: 0 auto;\" \/> <\/p>\n<p><\/p>\n<blockquote><p>St\u00f8rstedelen af vores onlinebestillinger samles fra butikkernes salgsgulve og ikke fra lagrene. Dette f\u00f8rer til fejl mellem hvad der vises p\u00e5 hjemmesiden, og hvad vi faktisk kan samle. <\/p>\n<p>P\u00e5 grund af den h\u00f8je oms\u00e6tningshastighed af varer i butikkerne og kompleksiteten i styringssystemerne opst\u00e5r der fejl, som kan opdages automatisk. Baseret p\u00e5 vores viden om systemerne og ved hj\u00e6lp af social engineering foreslog vi en l\u00f8sning, der automatisk kunne identificere problematiske varer og justere deres lager f\u00f8r offentligg\u00f8relse p\u00e5 hjemmesiden.<\/p>\n<p>Om taleren: 9 \u00e5rs erfaring i Leroy Merlin. F\u00f8rst \u00e5bnede jeg butikker, s\u00e5 arbejdede jeg i dem, og nu organiserer jeg varelagrene. Jeg har samlet et team og lanceret et data-produkt p\u00e5 6 uger.<\/p><\/blockquote>\n<p><br clear=\"left\">\n <\/p>\n<p><\/p>\n<h3 id=\"model-rostanbsp-predskazyvaem-profit-ot-fich-dlya-prioritizaciinbsp-pavel-mihaylov-ostrovokru\">V\u00e6kstmodellen \u2014 forudser profit fra funktioner til prioritering \u2014 Pavel Mikhailov, Ostrovok.ru<\/h3>\n<p><\/p>\n<p><img decoding=\"async\" alt=\"Avito Analytics meetup\" src=\"\/wp-content\/uploads\/2020\/06\/6925132c2640779cfec02df7b5f45205.png\" style=\"display:block;margin: 0 auto;\" \/> <\/p>\n<p><\/p>\n<blockquote>\n<ul>\n<li>Vi bygger en v\u00e6kstmodel \u2014 et framework baseret p\u00e5 kohorter og n\u00f8glemetrikker, der modellerer indt\u00e6gten p\u00e5 mellemlang sigt.<\/li>\n<li>Vi konverterer produkt- og forretningsmetrikker til penge ved hj\u00e6lp af modellen.<\/li>\n<li>Vi vurderer den potentielle profit fra funktioner gennem eksempler.<\/li>\n<\/ul>\n<p>Om foredragsholderen: Head of growth i Emerging Travel Group (Ostrovok.ru) med en analytisk baggrund. Jeg genererer, udvikler og tester v\u00e6ksthypoteser.<\/p><\/blockquote>\n<p><br clear=\"left\">\n <\/p>\n<p><\/p>\n<h3 id=\"kak-data-science-avito-dostavke-pomogalnbsp-dima-sergeev-avito\">Hvordan data science hjalp Avito Delivery - Dima Sergeev, Avito<\/h3>\n<p><\/p>\n<p><img decoding=\"async\" alt=\"Avito Analytics meetup\" src=\"\/wp-content\/uploads\/2020\/06\/90c948986ce52a12839123721d1ee0c4.png\" style=\"display:block;margin: 0 auto;\" \/> <\/p>\n<p><\/p>\n<blockquote><p>\u2026 Eller historien om, hvordan man stopper med at tilbyde brugerne at k\u00f8be \"Kabin Kamaz\" med levering. P\u00e5 Avito er der allerede over 60 millioner varer. For ikke alle af dem er det let at afg\u00f8re, om s\u00e6lgeren kan l\u00e6gge dem i en kasse med m\u00e5lene 120\u00d780\u00d750 og sende dem til k\u00f8beren i en anden by.<\/p>\n<p>Nogle gange laver vi s\u00e5danne fejl: vi tilbyder levering der, hvor det p\u00e5 forh\u00e5nd ikke burde v\u00e6re muligt, og omvendt. Jeg vil fort\u00e6lle lidt om, hvordan vi h\u00e5ndterer dette problem, og hvilke resultater vi har opn\u00e5et.<\/p>\n<p>Om foredragsholderen: Det sidste \u00e5r har jeg arbejdet med analytik i Avito Delivery. F\u00f8r det har jeg i tre \u00e5r arbejdet med analytik i OZON.<\/p><\/blockquote>\n<p><br clear=\"left\">\n <\/p>\n<p><\/p>\n<p>Stil sp\u00f8rgsm\u00e5l i chatten under transmissionen - de mest interessante vil vi besvare i sendefladen. Efter hver pr\u00e6sentation vil der v\u00e6re mulighed for at tale med foredragsholderen.<\/p>\n<p><\/p>\n<h2 id=\"paroli-i-yavki\">Brugernavne og adgangskoder<\/h2>\n<p><\/p>\n<p>Overs\u00e6ttelse <noindex><a rel=\"nofollow\" href=\"https:\/\/bit.ly\/2Y9vadw\">p\u00e5 vores YouTube-kanal<\/a><\/noindex> starter tirsdag den 30. juni kl. 18:00. Vi planl\u00e6gger at afslutte omkring 20:40. Under transmissionen kan du straks trykke p\u00e5 knappen \"p\u00e5mind mig\", s\u00e5 du ikke g\u00e5r glip af noget. <\/p>\n<p><\/p>\n<p>Hvis du \u00f8nsker at modtage en p\u00e5mindelse med et link til transmissionen via e-mail, kan du <noindex><a rel=\"nofollow\" href=\"https:\/\/avitotech.timepad.ru\/event\/1338890\/?utm_refcode=acb15c7ca59bda87df99188b277eb8797cd23089#register\">registrere dig p\u00e5 timepad<\/a><\/noindex>.<\/p>\n<p><\/p>\n<p>Vi ses online!<\/p>\n<p>Kilde: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/avito\/blog\/507202\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u0438\u0432\u0435\u0442, \u0425\u0430\u0431\u0440! 30 \u0438\u044e\u043d\u044f \u0432&nbsp;18:00 \u043f\u043e&nbsp;\u041c\u043e\u0441\u043a\u0432\u0435 \u043c\u044b \u043f\u0440\u043e\u0432\u0435\u0434\u0451\u043c \u043e\u043d\u043b\u0430\u0439\u043d-\u043c\u0438\u0442\u0430\u043f \u0434\u043b\u044f&nbsp;\u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u043e\u0432. \u0421\u043f\u0438\u043a\u0435\u0440\u044b \u0440\u0430\u0441\u0441\u043a\u0430\u0436\u0443\u0442 \u043f\u0440\u043e&nbsp;\u0440\u0435\u0433\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0435 A\/B-\u0442\u0435\u0441\u0442\u044b, \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0432\u044b\u0434\u0430\u0447\u0435\u0439 \u0442\u043e\u0432\u0430\u0440\u043e\u0432 \u0432&nbsp;\u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442-\u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0435, \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0444\u0438\u0442\u0430 \u043e\u0442&nbsp;\u043d\u043e\u0432\u044b\u0445 \u0444\u0438\u0447\u0435\u0439 \u0438 data science \u0432&nbsp;\u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0435 \u0442\u043e\u0432\u0430\u0440\u043e\u0432. \u041f\u043e\u0434&nbsp;\u043a\u0430\u0442\u043e\u043c, \u043a\u0430\u043a \u0438 \u0432\u0441\u0435\u0433\u0434\u0430, \u0442\u0435\u0437\u0438\u0441\u044b \u0434\u043e\u043a\u043b\u0430\u0434\u043e\u0432 \u0438 \u0432\u0441\u0435 \u043d\u0443\u0436\u043d\u044b\u0435 \u0441\u0441\u044b\u043b\u043a\u0438. \u0414\u043e\u043a\u043b\u0430\u0434\u044b \u0420\u0435\u0433\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0435 A\/B-\u0442\u0435\u0441\u0442\u044b. \u0417\u0430\u0447\u0435\u043c \u043d\u0443\u0436\u043d\u044b \u0438 \u043a\u0430\u043a \u0443\u0441\u0442\u0440\u043e\u0435\u043d\u044b&nbsp;\u2014 \u0418\u0433\u043e\u0440\u044c \u041a\u0440\u0430\u0441\u043e\u0432\u0441\u043a\u0438\u0439, \u0410\u0432\u0438\u0442\u043e \u0427\u0442\u043e \u0434\u0435\u043b\u0430\u0442\u044c, \u0435\u0441\u043b\u0438 \u0442\u0435\u0441\u0442\u043e\u0432\u0430\u044f \u0433\u0440\u0443\u043f\u043f\u0430 \u0432&nbsp;A\/B-\u0442\u0435\u0441\u0442\u0435 \u0442\u043e\u0447\u043d\u043e [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":85952,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-85951","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041f\u0440\u0438\u0432\u0435\u0442, \u0425\u0430\u0431\u0440! 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