{"id":20421,"date":"2024-11-29T13:44:35","date_gmt":"2024-11-29T11:44:35","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=20421\/"},"modified":"2024-11-29T13:44:35","modified_gmt":"2024-11-29T11:44:35","slug":"analytics-news-november-2024","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-november-2024\/","title":{"rendered":"Novembrov\u00e9 NEWS aj nov\u00fd podcast DATABASED"},"content":{"rendered":"

Odpor\u00fa\u010dania zo slu\u017eby Google Merchant Center u\u017e aj v Google Analytics<\/h2>\n

Ak e\u0161te nepou\u017e\u00edvate sekciu Insights v slu\u017ebe Google Analytics, mo\u017eno je ten spr\u00e1vny \u010das za\u010da\u0165. V minul\u00fdch mesiacoch sme v\u00e1s informovali, \u017ee niektor\u00e9 z notifik\u00e1ci\u00ed sa za\u010d\u00ednaj\u00fa zobrazova\u0165 naprie\u010d n\u00e1strojmi a tento trend pokra\u010duje aj \u010falej. Najnov\u0161ie sa medzi odpor\u00fa\u010daniami za\u010dali objavova\u0165 notifik\u00e1cie z Google Merchant Center.<\/p>\n

Zamietnut\u00e9 produkty nemo\u017eno zobrazova\u0165 v reklam\u00e1ch Google Shopping. V\u010faka notifik\u00e1ci\u00e1m v Google Analytics sa o t\u00fdchto probl\u00e9moch m\u00f4\u017eete dozvedie\u0165 sk\u00f4r a sk\u00f4r aj opravi\u0165 zamietnutia produktov v prepojenom \u00fa\u010dte Merchant Center.<\/p>\n

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

Zobrazenie v\u0161etk\u00fdch aplikovan\u00fdch filtrov v Looker Studiu dashboarde<\/h2>\n

\u0160tandardne m\u00f4\u017eu u\u017e\u00edvatelia vidie\u0165 nastavenia filtrov vtedy, ak je filter vidite\u013en\u00fd priamo v dashboarde. Ak ste na niektor\u00e9 tabu\u013eky \u010di grafy pou\u017eili filter tzv. „natvrdo“, u\u017e\u00edvate\u013e sa to nem\u00e1 ako dozvedie\u0165. Nemal, teraz u\u017e m\u00e1.<\/p>\n

Ak chcete, aby bol zoznam aplikovan\u00fdch filtrov dostupn\u00fd pre v\u0161etk\u00fdch pou\u017e\u00edvate\u013eov, postupujte nasledovne:<\/p>\n

    \n
  1. Kliknite na „Share“ button<\/li>\n
  2. Kliknite na ozuben\u00e9 koliesko v pravom hornom rohu dial\u00f3gov\u00e9ho okna<\/li>\n
  3. Od\u0161krtnite mo\u017enos\u0165 zdie\u013eania filtrov (defaultne s\u00fa filtre skryt\u00e9)<\/li>\n<\/ol>\n

    \"filtre<\/p>\n

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

    Gemini v BigQuery dostupn\u00e9 bezplatne len do 27. janu\u00e1ra 2025<\/h2>\n

    Pred p\u00e1r mesiacmi sme v\u00e1s informovali o dostupnosti Gemini AI modelu v slu\u017ebe BigQuery. Teraz Google ozn\u00e1mil, \u017ee slu\u017eba bude dostupn\u00e1 bezplatne len do 27. janu\u00e1ra bud\u00faceho roka. Ak budete chcie\u0165 pou\u017e\u00edva\u0165 Gemini v BigQuery aj po tomto d\u00e1tume, budete musie\u0165 urobi\u0165 jeden z nasledovn\u00fdch krokov:<\/p>\n

      \n
    1. zak\u00fapte si pl\u00e1n BigQuery Enterprise Plus pre tie projekty, kde budete chcie\u0165 Gemini vyu\u017e\u00edva\u0165<\/li>\n
    2. zak\u00fapte si Gemini Code Assist Enterprise<\/li>\n<\/ol>\n

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

      Nov\u00fd diel podcastu DATABASED. Ako vie AI pom\u00f4c\u0165 pri e-mail marketingu?<\/h2>\n

      Do v porad\u00ed u\u017e \u00f4smej epiz\u00f3dy n\u00e1\u0161ho analyticko-marketingov\u00e9ho podcastu DATABASED prijal pozvanie hos\u0165 z \u010ciech, David Vysko\u010dil, ktor\u00fd je zakladate\u013eom firmy Samba.ai<\/p>\n

      David n\u00e1m porozpr\u00e1val, ako zlep\u0161ova\u0165 z\u00e1kazn\u00edcku sk\u00fasenos\u0165 najm\u00e4 pri newslettrovej komunik\u00e1ci\u00ed, ako funguje Samba.ai, \u010do je pr\u00ednos tohto n\u00e1stroja a dozviete sa aj tipy a triky, ako lep\u0161ie porozumie\u0165 svojim z\u00e1kazn\u00edkom. Je nejak\u00e1 t\u00e9ma, pr\u00edpadne hos\u0165, ktor\u00e9ho by ste si v podcaste chceli vypo\u010du\u0165? Nap\u00ed\u0161te n\u00e1m dolu do koment\u00e1rov.<\/p>\n

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

      Odpor\u00fa\u010dania zo slu\u017eby Google Merchant Center u\u017e aj v Google Analytics Ak e\u0161te nepou\u017e\u00edvate sekciu Insights v slu\u017ebe…<\/p>\n","protected":false},"author":70,"featured_media":19769,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/20421"}],"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=20421"}],"version-history":[{"count":7,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/20421\/revisions"}],"predecessor-version":[{"id":20429,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/20421\/revisions\/20429"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/19769"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=20421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=20421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=20421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}