{"id":15359,"date":"2020-03-12T12:23:49","date_gmt":"2020-03-12T10:23:49","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=15359"},"modified":"2020-03-28T00:21:00","modified_gmt":"2020-03-27T22:21:00","slug":"obohatenie-dat-v-google-analytics-viete-ako-na-to","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/obohatenie-dat-v-google-analytics-viete-ako-na-to\/","title":{"rendered":"Obohatenie d\u00e1t v Google Analytics: Viete, ako na to?"},"content":{"rendered":"<div id=\"toc_container\" class=\"toc_wrap_right toc_white no_bullets\"><p class=\"toc_title\">Obsah \u010dl&aacute;nku<\/p><ul class=\"toc_list\"><li><\/li><li><\/li><li><ul><li><\/li><li><\/li><\/ul><\/li><li><\/li><\/ul><\/div>\n\n<p><b>Google Analytics umo\u017e\u0148uje zbiera\u0165 ve\u013ek\u00e9 mno\u017estvo d\u00e1t. Pokia\u013e sa v\u0161ak chcete rozhodova\u0165 <\/b><a href=\"https:\/\/www.dase-analytics.com\/blog\/ebook\/ebook-cesta-k-data-driven-marketingu\/\" target=\"_blank\" rel=\"noopener noreferrer\"><b>data-driven<\/b><\/a><b>, mus\u00edte ma\u0165 d\u00e1ta \u010do naj\u00faplnej\u0161ie. Preto ich \u010dastokr\u00e1t potrebujete spoji\u0165 dokopy z r\u00f4znych zdrojov. O ak\u00e9 d\u00e1ta sa jedn\u00e1 a ako ich prepoji\u0165 s Google Analytics, n\u00e1jdete v \u010dl\u00e1nku.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">V pr\u00edpade spr\u00e1vneho nastavenia Google Analytics m\u00e1te k dispoz\u00edcii \u00fadaje o spr\u00e1van\u00ed sa pou\u017e\u00edvate\u013eov na va\u0161om webe, o tom, z ak\u00e9ho zdroja pri\u0161li, \u010di a ako interagovali s va\u0161ou str\u00e1nkou, ako aj demografick\u00e9 \u00fadaje pou\u017e\u00edvate\u013eov.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Existuj\u00fa v\u0161ak pr\u00edpady, kedy v Google Analytics nem\u00e1te kompletn\u00e9 d\u00e1ta a na \u00fapln\u00fa anal\u00fdzu potrebujete \u201csp\u00e1rova\u0165\u201d d\u00e1ta z viacer\u00fdch zdrojov.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Naj\u010dastej\u0161ie ide napr\u00edklad o:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Google Ads,\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Facebook (pov\u00e4\u010d\u0161inou Ads),<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Google Search Console,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Google Optimize,\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Google Marketing Manager,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">CRM syst\u00e9m,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">integr\u00e1cia d\u00e1t z uskuto\u010dnen\u00fdch telefon\u00e1tov,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">at\u010f..<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">S prepojen\u00edm n\u00e1strojov, ktor\u00e9 patria Googlu, nie s\u00fa v\u00e4\u010d\u0161inou \u017eiadne probl\u00e9my. Google vytvoril na to ur\u010den\u00e9 konektory, ktor\u00e9 n\u00e1jdete priamo v Analyticse v nastaven\u00ed <\/span><i><span style=\"font-weight: 400;\">Vlastn\u00edctva (Property)<\/span><\/i><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15361 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image2-25.png\" alt=\"google analytics prepojenie\" width=\"1455\" height=\"818\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image2-25.png 1455w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image2-25-300x169.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image2-25-1024x576.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image2-25-600x337.png 600w\" sizes=\"(max-width: 1455px) 100vw, 1455px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Pri tret\u00edch stran\u00e1ch je prepojenie \u010dastokr\u00e1t komplikovanej\u0161ie. Aby ste d\u00e1ta prepojili spr\u00e1vne, mus\u00edte myslie\u0165 na nieko\u013eko podstatn\u00fdch vec\u00ed:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Ak\u00e9 rozsahy (Scopes) prep\u00e1jate<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Ak\u00fd jedine\u010dn\u00fd k\u013e\u00fa\u010d pou\u017eijete<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Ako prepoj\u00edte d\u00e1ta medzi jednotl\u00edv\u00fdmi n\u00e1strojmi<\/span><\/li>\n<\/ul>\n<h2><span id=\"Ake_rozsahy_prepajate\"><span style=\"font-weight: 400;\">Ak\u00e9 rozsahy prep\u00e1jate<\/span><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Google Analytics pou\u017e\u00edva 4 \u00farovne rozsahov &#8211; pou\u017e\u00edvate\u013e (User), rel\u00e1cia (Session), hit a produkt.<\/span><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15363 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image4-18.png\" alt=\"datovy model analytics\" width=\"1225\" height=\"666\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image4-18.png 1225w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image4-18-300x163.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image4-18-1024x557.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image4-18-600x326.png 600w\" sizes=\"(max-width: 1225px) 100vw, 1225px\" \/><\/p>\n<p>&nbsp;<\/p>\n<blockquote><p><i><span style=\"font-weight: 400;\">Pozn\u00e1mka:\u00a0 Produktov\u00fd rozsah je \u0161pecifick\u00fd pre elektronick\u00fd obchod, preto sa v \u201cz\u00e1kladnej\u201d \u0161trukt\u00fare neuv\u00e1dza.<\/span><\/i><\/p><\/blockquote>\n<p><span style=\"font-weight: 400;\">Ak ste sa e\u0161te s pojmom rozsahy (Scopes) nestretli, <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/rozsahy-v-google-analytics-ako-ich-pouzivat\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">\u010dl\u00e1nok od kolegu Maya v\u00e1m pom\u00f4\u017ee sa s danou problematikou zozn\u00e1mi\u0165 bli\u017e\u0161ie<\/span><\/a><span style=\"font-weight: 400;\">. Je ve\u013emi d\u00f4le\u017eit\u00e9, aby ste vedeli, v ktorom rozsahu sa d\u00e1ta nach\u00e1dzaj\u00fa. V pr\u00edpade, \u017ee pou\u017eijete in\u00fd rozsah, ako m\u00e1te, d\u00e1ta v reportoch nebud\u00fa spr\u00e1vne.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Uvedieme p\u00e1r pr\u00edkladov:\u00a0<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">D\u00e1ta z CRM syst\u00e9mov bud\u00fa naj\u010dastej\u0161ie orientovan\u00e9 na jednotliv\u00fdch pou\u017e\u00edvate\u013eov, preto v tomto pr\u00edpade pou\u017eijete User Scope.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Pri marketingov\u00fdch n\u00e1strojoch, \u010di u\u017e ide o emailov\u00e9, pr\u00edpadne n\u00e1stroje na mana\u017eovanie kampan\u00ed, v\u00e1s bud\u00fa zauj\u00edma\u0165 rel\u00e1cie &#8211; Session Scope.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">N\u00e1stroje, ktor\u00e9 sleduj\u00fa obsah na va\u0161ej str\u00e1nke \u010di u\u017e sa jedn\u00e1 o CMS syst\u00e9my, alebo poskytovate\u013eov reklamn\u00fdch slotov na va\u0161ich str\u00e1nkach, bud\u00fa vyu\u017e\u00edva\u0165 s najv\u00e4\u010d\u0161ou pravdepodobnos\u0165ou hit scope \u00farove\u0148.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Samozrejme, pokia\u013e m\u00e1te implementovan\u00fd <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/vyraz\/enhanced-ecommerce\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Enhanced Ecommerce<\/span><\/a><span style=\"font-weight: 400;\"> a sledujete v\u00fdkonnos\u0165 jednotliv\u00fdch produktov, tak pre produkty chcete pou\u017ei\u0165 produktov\u00e9 rozsahy.<\/span><\/li>\n<\/ol>\n<h2><span id=\"Aky_jedinecny_kluc_pouzijete\"><span style=\"font-weight: 400;\">Ak\u00fd jedine\u010dn\u00fd k\u013e\u00fa\u010d pou\u017eijete<\/span><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Na to, aby ste vedeli d\u00e1ta prepoji\u0165, potrebujete k\u013e\u00fa\u010d, na z\u00e1klade ktor\u00e9ho ich sp\u00e1rujete. Predstavte si ho napr\u00edklad ako jedine\u010dn\u00e9 \u010d\u00edslo, ktor\u00e9 prisl\u00facha iba jedn\u00e9mu z\u00e1znamu. Napr. v na\u0161om re\u00e1lnom \u017eivote je jedine\u010dn\u00e9 \u010d\u00edslo na\u0161e rodn\u00e9 \u010d\u00edslo. Bolo n\u00e1m priraden\u00e9 pri naroden\u00ed a patr\u00ed iba k na\u0161ej identite (pokia\u013e ho, samozrejme, niekto nezneu\u017eije \ud83d\ude41 ).\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Pri vyberan\u00ed spr\u00e1vneho k\u013e\u00fa\u010da je potrebn\u00e9 myslie\u0165 na to, \u010di sa dan\u00fd k\u013e\u00fa\u010d nach\u00e1dza v oboch datasetoch, \u010di je dostupn\u00fd v pou\u017eitom rozsahu a ak\u00e9 d\u00e1ta obsahuje (\u010di ide o individiu\u00e1lne d\u00e1ta alebo skupinu d\u00e1t, tzv. granularita).<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15362 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image3-23.png\" alt=\"prepojenie dat analytics\" width=\"1158\" height=\"369\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image3-23.png 1158w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image3-23-300x96.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image3-23-1024x326.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image3-23-600x191.png 600w\" sizes=\"(max-width: 1158px) 100vw, 1158px\" \/><\/p>\n<h2><span id=\"Ako_prepojite_data_medzi_jednotlivymi_nastrojmi\"><span style=\"font-weight: 400;\">Ako prepoj\u00edte d\u00e1ta medzi jednotliv\u00fdmi n\u00e1strojmi<\/span><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">To, ako prepoj\u00edte d\u00e1ta, sa m\u00f4\u017ee l\u00ed\u0161i\u0165 pre ka\u017ed\u00fd n\u00e1stroj. Niekedy je potrebn\u00fd z\u00e1sah do str\u00e1nky, inokedy sta\u010d\u00ed vyu\u017eitie Google Sheetov, Google Data Studia, pr\u00edpadne Measurement Protokolu.<\/span><\/p>\n<h3><span id=\"Prepojenie_dat_v_Google_Analytics\"><span style=\"font-weight: 400;\">Prepojenie d\u00e1t v Google Analytics<\/span><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Napr\u00edklad, pre import n\u00e1kladov pre in\u00e9 platformy (Facebook, Instagram, LinkedIn a pod.), pr\u00edpadne pre vr\u00e1ten\u00e9 objedn\u00e1vky, m\u00f4\u017eete pou\u017ei\u0165 importovanie d\u00e1t priamo do Analyticsu. Mus\u00edte to v\u0161ak robi\u0165 manu\u00e1lne Data import nie je mo\u017en\u00e9 automatizova\u0165 priamo v Analyticse, <\/span><a href=\"https:\/\/developers.google.com\/analytics\/devguides\/config\/mgmt\/v3\/data-import\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">je potrebn\u00e9 na to pou\u017ei\u0165 API<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Netreba zabudn\u00fa\u0165 na to, \u017ee d\u00e1ta neviete importova\u0165 sp\u00e4tne, tz. \u017ee sa im prirad\u00ed ten d\u00e1tum, kedy ste ich tam re\u00e1lne naimportovali. Ak vyu\u017eijete t\u00fato mo\u017enos\u0165, odpor\u00fa\u010dame spravi\u0165 import aspo\u0148 v dan\u00fd mesiac, aby v mesa\u010dnom reporte d\u00e1ta sedeli.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ak potrebujete prepoji\u0165 online pou\u017e\u00edvate\u013eov s offline objedn\u00e1vkami (tzv. omnichannel), je to mo\u017en\u00e9 napr\u00edklad prostredn\u00edctvom Google Sheets a Measurement Protokolu. Z CRM syst\u00e9mu budete posiela\u0165 d\u00e1ta do Google Sheets, kde sa bud\u00fa pravidelne aktualizova\u0165 (m\u00f4\u017ee by\u0165 aj na dennej b\u00e1ze). N\u00e1sledne z\u00e1znamy v Google Sheets odo\u0161lete cez Measurement Protokol do Google Analytics. T\u00fdm p\u00e1dom si import zautomatizujete a budete ma\u0165 d\u00e1ta k dispoz\u00edcii na dennej b\u00e1ze (ak to tak nastav\u00edte). Ak by ste chceli o tomto sp\u00f4sobe zisti\u0165 viac, <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/ako-dostat-offline-interakcie-do-google-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">pre\u010d\u00edtajte si tento \u010dl\u00e1nok<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ako som u\u017e spom\u00ednala, \u00faprava d\u00e1t retrospekt\u00edvne nie je mo\u017en\u00e1. A\u017e na jednu v\u00fdnimku &#8211; v beta verzii existuje mo\u017enos\u0165 vyu\u017ei\u0165 <\/span><a href=\"https:\/\/support.google.com\/analytics\/answer\/6071511?hl=sk\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">import d\u00e1t v \u010dase dopytu (Query Time Custom Data Import)<\/span><\/a><span style=\"font-weight: 400;\">. M\u00e1 to v\u0161ak jeden h\u00e1\u010di\u0165 &#8211; t\u00e1to funkcia je pr\u00edstupn\u00e1 len pre platen\u00fa verziu Google Analytics 360. Ak v\u0161ak m\u00e1te k tejto funkcii pr\u00edstup, umo\u017en\u00ed v\u00e1m obohati\u0165 va\u0161e d\u00e1ta bez toho, aby boli trvalo prep\u00edsan\u00e9.<\/span><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15360 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image1-25.png\" alt=\"data import analytics\" width=\"1089\" height=\"475\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image1-25.png 1089w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image1-25-300x131.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image1-25-1024x447.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/image1-25-600x262.png 600w\" sizes=\"(max-width: 1089px) 100vw, 1089px\" \/><\/p>\n<h3><span id=\"Prepojenie_dat_mimo_Google_Analytics\"><span style=\"font-weight: 400;\">Prepojenie d\u00e1t mimo Google Analytics<\/span><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">A \u010do v pr\u00edpade, pokia\u013e potrebujete vytiahnu\u0165 d\u00e1ta z Analyticsu a spoji\u0165 ich s in\u00fdm n\u00e1strojom? Princ\u00edp bude podobn\u00fd. Potrebujete unik\u00e1tny k\u013e\u00fa\u010d, na z\u00e1klade ktor\u00e9ho ich sp\u00e1rujete. Pre komplexnej\u0161ie d\u00e1ta o pou\u017e\u00edvate\u013eskej ceste, je prepojenie CRM d\u00e1t s Analyticsom ve\u013emi \u017eiadan\u00e9. M\u00f4\u017eete vyu\u017ei\u0165 napr. User ID pre aktu\u00e1lne prihl\u00e1sen\u00fdch pou\u017e\u00edvate\u013eov, pr\u00edpadne posiela\u0165 Client ID do Analyticsu ako vlastn\u00fa dimenziu. Tento identifik\u00e1tor budete posiela\u0165 aj do CRM syst\u00e9mu prostredn\u00edctvom skryt\u00e9ho po\u013ea vo formul\u00e1ri, pr\u00edpadne ako parameter v URL. Ak nechcete (alebo nem\u00f4\u017eete) tak\u00e9to d\u00e1ta sp\u00e1ja\u0165 v GA, m\u00f4\u017eete pou\u017ei\u0165 napr. Data Studio alebo BigQuery. Viac o BigQuery si viete pre\u010d\u00edta\u0165 v \u010dl\u00e1nku <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/potrebujete-spracovat-velke-mnozstvo-dat-bigquery-je-riesenie\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Potrebujete spracova\u0165 ve\u013ek\u00e9 mno\u017estvo d\u00e1t? BigQuery je rie\u0161enie<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<h2><span id=\"Zaver\"><span style=\"font-weight: 400;\">Z\u00e1ver<\/span><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Import d\u00e1t je ve\u013emi d\u00f4le\u017eitou s\u00fa\u010das\u0165ou pr\u00e1ce s d\u00e1tami. V ide\u00e1lnom svete by sme mali v\u0161etky d\u00e1ta na jednom mieste a nepotrebovali by sme ich obohacova\u0165 a h\u013eada\u0165 cesty, ako ich spr\u00e1vne sp\u00e1ja\u0165. Len\u017ee, realita je \u201ctrochu\u201d in\u00e1.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Vyu\u017e\u00edvate import a export d\u00e1t v Analyticse? O ak\u00e9 d\u00e1ta naj\u010dastej\u0161ie ide? Pode\u013ete sa s va\u0161imi sk\u00fasenos\u0165ami v koment\u00e1roch.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ak sa v\u00e1m \u010dl\u00e1nok p\u00e1\u010dil a mysl\u00edte si, \u017ee bude u\u017eito\u010dn\u00fd aj pre in\u00fdch milovn\u00edkov analytiky, budeme ve\u013emi radi za jeho zdie\u013eanie \ud83d\ude42 .<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google Analytics umo\u017e\u0148uje zbiera\u0165 ve\u013ek\u00e9 mno\u017estvo d\u00e1t. Pokia\u013e sa v\u0161ak chcete rozhodova\u0165 data-driven, mus\u00edte ma\u0165 d\u00e1ta \u010do naj\u00faplnej\u0161ie&#8230;.<\/p>\n","protected":false},"author":68,"featured_media":15496,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[642,162,372],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/15359"}],"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\/68"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=15359"}],"version-history":[{"count":9,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/15359\/revisions"}],"predecessor-version":[{"id":15567,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/15359\/revisions\/15567"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/15496"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=15359"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=15359"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=15359"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}