{"id":19787,"date":"2024-02-29T15:24:05","date_gmt":"2024-02-29T13:24:05","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=19787\/"},"modified":"2024-02-29T15:24:05","modified_gmt":"2024-02-29T13:24:05","slug":"analytics-news-februar-2024","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-februar-2024\/","title":{"rendered":"Matomo, GA4 a YouTube Analytics s novinkami, o ktor\u00fdch mus\u00edte vedie\u0165"},"content":{"rendered":"

Matomo predstavil konektor pre Looker Studio<\/h2>\n

Analytick\u00fd n\u00e1stroj Matomo sa stavia do role priameho konkurenta Google Analytics 4<\/a>. \u010c\u00edm viac u\u017e\u00edvate\u013eov n\u00e1stroj pou\u017e\u00edva, t\u00fdm silnej\u0161\u00ed tlak je aj na v\u00fdvoj \u010fal\u0161\u00edch funkci\u00ed, slu\u017eieb a mo\u017enosti integr\u00e1cie s ostatn\u00fdmi n\u00e1strojmi. Najnov\u0161ie Matomo, mo\u017eno trochu prekvapivo, predstavil konektor pre Looker Studio<\/a>.<\/p>\n

\"\"<\/p>\n

Matomo je zn\u00e1me najm\u00e4 svojim bezprecedentn\u00fdm d\u00f4razom na bezpe\u010dnos\u0165 u\u017e\u00edvate\u013esk\u00fdch d\u00e1t, tak\u017ee si neodpustil pozn\u00e1mku o tom, \u017ee Looker Studio be\u017e\u00ed na serveroch Googlu. M\u00f4\u017eete v\u0161ak by\u0165 bez ob\u00e1v – Looker Studio \u017eiadne d\u00e1ta neuklad\u00e1 a po odpojen\u00ed konektora ostan\u00fa reporty „slep\u00e9“. Ka\u017edop\u00e1dne, ak pou\u017e\u00edvate ako v\u00e1\u0161 hlavn\u00fd (\u010di ved\u013eaj\u0161\u00ed) analytick\u00fd n\u00e1stroj pr\u00e1ve Matomo, konektor pre Looker Studio sa v\u00e1m ur\u010dite bude hodi\u0165.<\/p>\n

Viac na: Matomo Help<\/a><\/p>\n

Transfer d\u00e1t z Facebooku do BigQuery<\/h2>\n

Pri konektoroch e\u0161te ostaneme, aj ke\u010f tento kr\u00e1t trochu z in\u00e9ho s\u00fadka (teda cloudu). Ak ste doteraz chceli importova\u0165 d\u00e1ta z Facebook Ads do BigQuery<\/strong>, pravdepodobne ste boli odk\u00e1zan\u00ed na platen\u00e9 slu\u017eby tret\u00edch str\u00e1n, ako napr\u00edklad Supermetrics. Odteraz m\u00e1te k dispoz\u00edcii slu\u017ebu BigQuery Data Transfer, ktor\u00fd v\u00e1m prenos tak\u00fdchto d\u00e1t umo\u017en\u00ed aj bez drah\u00fdch konektorov.<\/p>\n

Google poskytuje k slu\u017ebe aj kompletn\u00fd n\u00e1vod, tak\u017ee s rozbehan\u00edm prenosu ur\u010dite nebudete ma\u0165 probl\u00e9my. \u0160trukt\u00fara d\u00e1t je pevne dan\u00e1 Facebookom a slu\u017eba m\u00e1 svoje obmedzenia, ale mysl\u00edme si, \u017ee je to aj tak obrovsk\u00fd krok, ktor\u00fd posunie mo\u017enosti Google Cloudu e\u0161te vy\u0161\u0161ie.<\/p>\n

Viac na: Google Cloud documentation<\/a><\/p>\n

Ktor\u00e9 vide\u00e1 v\u00e1m zar\u00e1baj\u00fa najviac? YouTube Analytics je tu s nov\u00fdmi preh\u013eadmi<\/h2>\n

\u010eal\u0161ia novinka pote\u0161\u00ed najm\u00e4 autorov video obsahu, a to najm\u00e4 form\u00e1tov Shorts, Videos on Demand (VOD) a Lives<\/strong>. Pri t\u00fdchto form\u00e1toch ste si doteraz mohli pozrie\u0165 len o\u010dak\u00e1van\u00fd pr\u00edjem za posledn\u00fdch 28 dn\u00ed. Po novom budete ma\u0165 k dispoz\u00edci\u00ed aj podrobnej\u0161ie d\u00e1ta o tom, ktor\u00e9 video v\u00e1m ko\u013eko zarobilo.<\/p>\n

Ak tieto form\u00e1ty videa vyu\u017e\u00edvate, detailn\u00e9 \u00fadaje v\u00e1m ur\u010dite pom\u00f4\u017eu robi\u0165 informovan\u00e9 data-driven rozhodnutia, v\u010faka ktor\u00fdm budete m\u00f4c\u0165 efekt\u00edvnej\u0161ie optimalizova\u0165 svoje komunika\u010dn\u00e9 strat\u00e9gie a zv\u00fd\u0161i\u0165 si tak zisk.<\/p>\n

Viac na: Search Engine Land<\/a><\/p>\n

Nov\u00fd typ automatick\u00e9ho Insight v Google Analytics 4<\/h2>\n

Ako sme u\u017e viackr\u00e1t p\u00edsali, sekcia Insight v Google Analytics 4 poskytuje pou\u017e\u00edvate\u013eom kopec zauj\u00edmav\u00fdch i d\u00f4le\u017eit\u00fdch inform\u00e1ci\u00ed, ktor\u00e9 AI vy\u010d\u00edtalo z va\u0161ich d\u00e1t. Nov\u00fdm typom tak\u00fdchto notifik\u00e1ci\u00ed je zmena trendu<\/strong>.<\/p>\n

\"google<\/p>\n

Tento insight hovor\u00ed o tom, \u017ee sledovan\u00e1 metrika v \u010dase rastie (alebo kles\u00e1). Podobne funguje aj detekcia anom\u00e1li\u00ed, av\u0161ak s t\u00fdm rozdielom, \u017ee detekcia anom\u00e1li\u00ed zv\u00fdraz\u0148uje n\u00e1hle skoky alebo poklesy v d\u00e1tach, zatia\u013e \u010do detekcia zmeny trendu zv\u00fdraz\u0148uje jemnej\u0161ie zmeny po\u010das dlh\u0161ieho \u010dasov\u00e9ho obdobia.<\/p>\n

Viac na: Google Support<\/a><\/p>\n

Nov\u00fd podcast o analytike! Prv\u00e1 \u010das\u0165 DATABASED je vonku!<\/h2>\n

To najlep\u0161ie som si nechal nakoniec. Pred p\u00e1r rokmi koloval tak\u00fd vtip, \u017ee v roku 2024 nebude v\u00e4\u010d\u0161inu povrchu Zeme pokr\u00fdva\u0165 voda, ale podcasty. Tak aby to bola pravda, prid\u00e1vame do mora podcastov jednu kvapku aj my v DASE.<\/p>\n

\"DATABASED<\/a><\/p>\n

A o \u010dom bude nov\u00fd podcast DATABASED<\/a>? Te\u0161i\u0165 sa m\u00f4\u017eete na r\u00f4znych zauj\u00edmav\u00fdch host\u00ed, marketingov\u00fdch \u0161pecialistov, ale aj majite\u013eov firiem, ktor\u00fdm pojem data-driven nie je cudz\u00ed. Vstrebate\u013enou formou sa dozviete sa o novink\u00e1ch v analytike, o aktu\u00e1lnych trendoch, ale vypo\u010dujete si aj mno\u017estvo zauj\u00edmav\u00fdch case studies a skuto\u010dn\u00fdch pr\u00edbehov o tom, ako sa daj\u00fa analytick\u00e9 d\u00e1ta vyu\u017ei\u0165 praxi. Pr\u00edjemn\u00e9 po\u010d\u00favanie!<\/p>\n

Viac na: Spotify DATABASED<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Matomo predstavil konektor pre Looker Studio Analytick\u00fd n\u00e1stroj Matomo sa stavia do role priameho konkurenta Google Analytics 4….<\/p>\n","protected":false},"author":70,"featured_media":19760,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[798,957],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/19787"}],"collection":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/users\/70"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=19787"}],"version-history":[{"count":7,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/19787\/revisions"}],"predecessor-version":[{"id":19797,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/19787\/revisions\/19797"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/19760"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=19787"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=19787"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=19787"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}