{"id":16203,"date":"2020-08-13T09:45:09","date_gmt":"2020-08-13T07:45:09","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=16203\/"},"modified":"2020-08-13T12:51:54","modified_gmt":"2020-08-13T10:51:54","slug":"detekcia-anomalii-google-analytics","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/detekcia-anomalii-google-analytics\/","title":{"rendered":"Detekcia anom\u00e1li\u00ed v Google Analytics"},"content":{"rendered":"<style>\n.article-cta h2 {<br \/>    font-size: 35px!important;<br \/>    letter-spacing: 4px!important;<br \/>    padding: 0 0 30px;<br \/>}<br \/><\/style>\n<p><span style=\"font-weight: 400;\">Desa\u0165n\u00e1sobne prekro\u010den\u00fd rozpo\u010det v Google Ads, \u201cvypnut\u00e9\u201d \u010di zn\u00e1soben\u00e9 meranie transakci\u00ed, alebo Google Analytics bez d\u00e1t. Za\u017eili ste aj vy nie\u010do podobn\u00e9? Ak patr\u00edte k t\u00fdm \u0161\u0165astlivcom, ktor\u00fdm podobn\u00e9 nepr\u00edjemnosti doposia\u013e neskr\u00ed\u017eili cestu, super pre v\u00e1s! Nenechajte v\u0161ak ni\u010d na n\u00e1hodu a <strong>vysk\u00fa\u0161ajte niektor\u00fa z met\u00f3d na detekciu anom\u00e1li\u00ed<\/strong> op\u00edsan\u00fdch v tomto \u010dl\u00e1nku. <\/span><\/p>\n<h2>Custom Alerts (Universal Analytics)<\/h2>\n<p><span style=\"font-weight: 400;\">Google Analytics pon\u00faka mo\u017enos\u0165 nastavi\u0165 si vlastn\u00e9 upozornenia, ktor\u00e9 <strong>funguj\u00fa na z\u00e1klade jednoduch\u00e9ho porovnania hodn\u00f4t s predo\u0161l\u00fdm obdob\u00edm<\/strong>. Hodnoty akejko\u013evek metriky m\u00f4\u017eete porovn\u00e1va\u0165 v absol\u00fatnych \u010d\u00edslach (napr. zn\u00ed\u017eenie priemern\u00e9ho \u010dasu na str\u00e1nke pod 30s), alebo ako relat\u00edvna zmena (napr. prepad transakci\u00ed o 20%).<\/span><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignright wp-image-16205 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/ga-custom-alerts.png\" alt=\"Google Analytics custom alerts - detekcia anom\u00e1li\u00ed\" width=\"1778\" height=\"423\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/ga-custom-alerts.png 1778w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/ga-custom-alerts-300x71.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/ga-custom-alerts-1024x244.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/ga-custom-alerts-1536x365.png 1536w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/ga-custom-alerts-600x143.png 600w\" sizes=\"(max-width: 1778px) 100vw, 1778px\" \/><\/p>\n<p>Vlastn\u00e9 upozornenia si nastav\u00edte v Google Analytics na \u00farovni Views. Nie je to ni\u010d \u0165a\u017ek\u00e9 &#8211; vyberiete si metriku, \u010dasov\u00fd rozsah, ktor\u00fd chcete sledova\u0165 a hranicu, po prekro\u010den\u00ed ktorej chcete by\u0165 syst\u00e9mom upozornen\u00ed.<\/p>\n<h3>25 tipov na vlastn\u00e9 upozornenia v Google Analytics<\/h3>\n<ol>\n<li><strong>Vypadnutie meran\u00ed (\u017eiadne d\u00e1ta)<\/strong><br \/>\nV\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: de\u0148 | metrika: <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/relacia-session\/\">Rel\u00e1cie (Sessions)<\/a> | pravidlo: je menej ako | hodnota: 1<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie po\u010dtu n\u00e1v\u0161tev<\/strong><br \/>\n<\/span>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: de\u0148; porovnanie s rovnak\u00fdm d\u0148om v minulom t\u00fd\u017edni | metrika: Rel\u00e1cie (Sessions) | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie po\u010dtu n\u00e1v\u0161tev<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: de\u0148; porovnanie s rovnak\u00fdm d\u0148om v minulom t\u00fd\u017edni | metrika: Rel\u00e1cie (Sessions) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie priemern\u00e9ho \u010dasu na str\u00e1nke<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: de\u0148; porovnanie s rovnak\u00fdm d\u0148om v minulom t\u00fd\u017edni | metrika: <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/priemerna-dlzka-relacie-average-session-duration\/\">Priemern\u00e9 trvanie rel\u00e1cie (Avg. Session Duration)<\/a> | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie priemern\u00e9ho \u010dasu na str\u00e1nke<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: de\u0148; porovnanie s rovnak\u00fdm d\u0148om v minulom t\u00fd\u017edni | metrika: Priemern\u00e9 trvanie rel\u00e1cie (Avg. Session Duration) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie miery opustenia str\u00e1nky<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: de\u0148; porovnanie s rovnak\u00fdm d\u0148om v minulom t\u00fd\u017edni | metrika: <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/miera-odchodov-bounce-rate\/\">Miera opustenia str\u00e1nky (Bounce Eate)<\/a> | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 20%<\/li>\n<li><strong>Zv\u00fd\u0161enie miery opustenia str\u00e1nky<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: de\u0148; porovnanie s rovnak\u00fdm d\u0148om v minulom t\u00fd\u017edni | metrika: Miera opustenia str\u00e1nky (Bounce Rate) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie konverzn\u00e9ho pomeru pri cie\u013eoch<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Miera konverzi\u00ed cie\u013eov (Goal Conversion Rate) | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie konverzn\u00e9ho pomeru pri cie\u013eoch<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Miera konverzi\u00ed cie\u013eov (Goal Conversion Rate) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie obratu v e-shope<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Obrat (Revenue) | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie obratu v e-shope<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Obrat (Revenue) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie priemernej hodnoty objedn\u00e1vky v e-shope<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Priemern\u00e1 hodnota objedn\u00e1vky (Avg. Order Value) | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie priemernej hodnoty objedn\u00e1vky v e-shope<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Priemern\u00e1 hodnota objedn\u00e1vky (Avg. Order Value) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie po\u010dtu transakci\u00ed v e-shope<\/strong><br \/>\nV\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Po\u010det transakci\u00ed (Transactions) | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 20%<\/span><\/li>\n<li style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie po\u010dtu transakci\u00ed v e-shope<br \/>\n<\/strong>V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Po\u010det transakci\u00ed (Transactions) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 20%<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie po\u010dtu klikov z PPC kampan\u00ed<\/strong><br \/>\nV\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Po\u010det klikov (Clicks) | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 20%<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie po\u010dtu klikov z PPC kampan\u00ed<\/strong><br \/>\nV\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Po\u010det klikov (Clicks) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 20%<\/span><\/li>\n<li><span style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie ceny za klik z PPC kampan\u00ed<\/strong><br \/>\nV\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/cpc-cost-per-click\/\">Cena za klik (CPC)<\/a> | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 20%<\/span><\/li>\n<li><span style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie ceny za klik z PPC kampan\u00ed<\/strong><br \/>\nV\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Cena za klik (CPC) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 20%<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie miery prekliku z PPC kampan\u00ed<\/strong><br \/>\nV\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Miera prekliku (CTR) | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 20%<\/span><\/li>\n<li style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie miery prekliku z PPC kampan\u00ed<br \/>\n<\/strong><span style=\"font-weight: 400;\">V\u0161etka n\u00e1v\u0161tevnos\u0165 | peri\u00f3da: t\u00fd\u017ede\u0148; porovnanie s minul\u00fdm t\u00fd\u017ed\u0148om | metrika: Miera prekliku (CTR) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 20%<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie n\u00e1v\u0161tevnosti zo soci\u00e1lnych siet\u00ed<\/strong><br \/>\nSegment pod\u013ea zdroja n\u00e1v\u0161tevnosti (Regex: facebook|linkedin|twitter|instagram|&#8230;) | de\u0148; porovnanie s predo\u0161l\u00fdm d\u0148om | metrika: Rel\u00e1cie (Sessions) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 100%<\/span><\/li>\n<li style=\"font-weight: 400;\"><strong>Zn\u00ed\u017eenie organickej n\u00e1v\u0161tevnosti<br \/>\n<\/strong>Segment pod\u013ea zdroja n\u00e1v\u0161tevnosti (= organic) | peri\u00f3da: de\u0148; porovnanie s rovnak\u00fdm d\u0148om v minulom t\u00fd\u017edni | metrika: Rel\u00e1cie (Sessions) | pravidlo: hodnota sa zn\u00ed\u017eila o viac ako | hodnota: 50%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie organickej n\u00e1v\u0161tevnosti<br \/>\n<\/strong>Segment pod\u013ea zdroja n\u00e1v\u0161tevnosti (= organic) | peri\u00f3da: de\u0148; porovnanie s rovnak\u00fdm d\u0148om v minulom t\u00fd\u017edni | metrika: Rel\u00e1cie (Sessions) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 50%<\/li>\n<li style=\"font-weight: 400;\"><strong>Zv\u00fd\u0161enie v\u00fdskytu self-referral n\u00e1v\u0161tevnosti<br \/>\n<\/strong>Segment pod\u013ea m\u00e9dia (= referral) | peri\u00f3da: de\u0148; porovnanie s rovnak\u00fdm d\u0148om v minulom t\u00fd\u017edni | metrika: Rel\u00e1cie (Sessions) | pravidlo: hodnota sa zv\u00fd\u0161ila o viac ako | hodnota: 25%<\/li>\n<\/ol>\n<h3>Upozornenia v Google Analytics nie s\u00fa posta\u010duj\u00face<\/h3>\n<p><span style=\"font-weight: 400;\">Probl\u00e9mom pri <a href=\"https:\/\/support.google.com\/analytics\/answer\/1033021?hl=en&amp;ref_topic=1032994\" target=\"_blank\" rel=\"noopener noreferrer\">vlastn\u00fdch upozorneniach v Google Analytics<\/a> je fakt, \u017ee takto \u201cnatvrdo\u201d nastaven\u00fd syst\u00e9m upozornen\u00ed nezoh\u013ead\u0148uje trendy, ktor\u00e9 sa pri weboch (a obzvl\u00e1\u0161\u0165 pri e-shopoch) vyskytuj\u00fa pomerne be\u017ene. V praxi sme za\u017eili, \u017ee klienti dost\u00e1vali tak\u00e9 ve\u013ek\u00e9 mno\u017estvo upozornen\u00ed, z ktor\u00fdch je v\u00e4\u010d\u0161ina typu false positive, \u017ee ich postupne za\u010dali ignorova\u0165. Nastavenie hodn\u00f4t pre upozornenia <strong>treba robi\u0165 s citom a v\u017edy na z\u00e1klade va\u0161ich konkr\u00e9tnych d\u00e1t<\/strong>. \u00daprave nastaven\u00ed sa aj napriek tomu zrejme nevyhnete a z \u010dasu na \u010das budete musie\u0165 va\u0161e nastavenia revidova\u0165.<\/span><\/p>\n<h2>Insights a Custom Insights (Google Analytics App + Web)<\/h2>\n<p><span style=\"font-weight: 400;\">V novom Google Analytics App + Web je detekcia anom\u00e1li\u00ed rie\u0161en\u00e1 <strong>pomocou machine learningu<\/strong>. Syst\u00e9m ur\u010d\u00ed na z\u00e1klade d\u00e1t za pomoci r\u00f4znych \u0161tatistick\u00fdch met\u00f3d, \u010di je hodnota metriky anom\u00e1lna alebo nie. <a href=\"https:\/\/support.google.com\/analytics\/answer\/9443595?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">Insights v App + Web<\/a> teda funguj\u00fa auton\u00f3mne, bez ak\u00e9hoko\u013evek \u00favodn\u00e9ho nastavenia, aj ke\u010f, samozrejme, je tu mo\u017enos\u0165 nastavi\u0165 si vlastn\u00e9 upozornenia.<\/span><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-16217 size-full aligncenter\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/insights-ga-app-web.png\" alt=\"detekcia anom\u00e1li\u00ed Insights and Custom Insights in Google Analytics App &amp; Web\" width=\"1902\" height=\"531\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/insights-ga-app-web.png 1902w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/insights-ga-app-web-300x84.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/insights-ga-app-web-1024x286.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/insights-ga-app-web-1536x429.png 1536w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/insights-ga-app-web-600x168.png 600w\" sizes=\"(max-width: 1902px) 100vw, 1902px\" \/>Pri detekovan\u00ed anom\u00e1lie v\u00e1m syst\u00e9m ozn\u00e1mi t\u00fato skuto\u010dnos\u0165 v \u00favodnom dashboarde App + Web a v pr\u00edpade Custom Insights aj prostredn\u00edctvom e-mailu. Zatia\u013e sa ned\u00e1 nastavi\u0165, aby v\u00e1m Google Analytics hl\u00e1sil automatick\u00e9 Insights aj e-mailom, ale ke\u010f\u017ee pr\u00e1ve t\u00e1to sekcia sa pravidelne dop\u013a\u0148a o nov\u00e9 funkcie, je to zrejme len ot\u00e1zkou \u010dasu. V\u0161etky novinky v novom Google Analytics App + Web poctivo sledujeme za v\u00e1s a pravidelne ka\u017ed\u00fd mesiac v\u00e1s o nich informujeme prostredn\u00edctvom <a href=\"\/category\/novinky\/\">Analytics NEWS na na\u0161om blogu<\/a>.<\/p>\n<h3>Ako nastavi\u0165 Custom Insights v App + Web<\/h3>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Vyh\u013eadajte si na \u00favodnom dashboarde sekciu \u201c\u0160tatistiky (Insights)\u201d kniknite na \u201cZobrazi\u0165 v\u0161etky \u0161tatistiky (Show all insights)\u201d<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Kliknite na tla\u010didlo \u201cVytvori\u0165 (Create)\u201d<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Otvor\u00ed sa v\u00e1m karta, kde si m\u00f4\u017eete vybra\u0165 z preddefinovan\u00fdch Insights, alebo si m\u00f4\u017eete vytvori\u0165 vlastn\u00e9 upozornenie (Create Custom Insight)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Vyberte si frekvenciu vyhodnocovania upozornen\u00ed (mesa\u010dne, t\u00fd\u017edenne, denne, alebo ka\u017ed\u00fa hodinu)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Nastavte si podmienku pre metriku, ktor\u00fa chcete sledova\u0165. M\u00f4\u017eete pou\u017ei\u0165 tie ist\u00e9 odpor\u00fa\u010dania na vlastn\u00e9 upozornenia ako pre Universal Analytics, vi\u010f. vy\u0161\u0161ie.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Nakoniec u\u017e len nastav\u00edte n\u00e1zov upozornenia a e-mail, na ktor\u00fd v\u00e1m bud\u00fa chodi\u0165 notifik\u00e1cie. Detekcia anom\u00e1li\u00ed je odteraz plne funk\u010dn\u00e1.<\/span><\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignright size-full wp-image-16226\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/app-web-set-insights.gif\" alt=\"Set Custom Insights GA App &amp; Web\" width=\"1920\" height=\"901\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Aj ke\u010f je detekcia anom\u00e1li\u00ed v App + Web pri automatick\u00fdch upozorneniach riaden\u00e1 machine learningom, vlastn\u00e9 upozornenia s\u00fa de facto rie\u0161en\u00e9 \u201cpo starom\u201d. Navy\u0161e, \u010do pova\u017eujem za v\u00e4\u010d\u0161\u00ed probl\u00e9m, App + Web je st\u00e1le v beta verzii a na jeho plnohodnotn\u00e9 pou\u017e\u00edvanie si budeme musie\u0165 e\u0161te nejak\u00fd ten piatok po\u010dka\u0165.<\/span><\/p>\n<h2>Syst\u00e9m na detekciu anom\u00e1li\u00ed od DASE<\/h2>\n<p><span style=\"font-weight: 400;\">Ke\u010f\u017ee aktu\u00e1lne dostupn\u00e9 mo\u017enosti maj\u00fa svoje limity, v DASE sme sa rozhodli vytvori\u0165 si <strong>vlastn\u00fd syst\u00e9m na detekciu anom\u00e1li\u00ed<\/strong>. Pri stavbe n\u00e1\u0161ho syst\u00e9mu sme sa sna\u017eili sk\u013abi\u0165 dokopy prednosti alertovac\u00edch syst\u00e9mov zo star\u00e9ho aj nov\u00e9ho Google Analytics. N\u00e1\u0161 syst\u00e9m vyu\u017e\u00edva met\u00f3dy jednoduch\u00e9ho machine learningu, rovnak\u00e9 \u0161tatistick\u00e9 met\u00f3dy ako App + Web pri svojich automatick\u00fdch upozorneniach, ale, na druhej strane, poskytuje analytikovi pln\u00fa kontrolu nad nastaven\u00edm podmienok pre detekciu anom\u00e1li\u00ed.<\/span><\/p>\n<p>Nechcem, aby bol tento \u010dl\u00e1nok dlh\u0161\u00ed ako moja diplomovka, tak\u017ee do technick\u00fdch detailov rad\u0161ej zach\u00e1dza\u0165 nebudem. V skratke poviem len to\u013eko, \u017ee z\u00e1kladnou \u0161tatistickou met\u00f3dou, ktor\u00e1 riadi detekciu anom\u00e1li\u00ed, je <strong>k\u013azav\u00fd priemer<\/strong>. Ten sleduje trendy v \u010dase na z\u00e1klade minul\u00fdch d\u00e1t, pri\u010dom syst\u00e9mom podmienok n\u00e1stroj vyhodnot\u00ed, \u010di k anom\u00e1lii do\u0161lo, alebo nie. Ke\u010f\u017ee ka\u017ed\u00e1 jedna metrika je v\u00fdnimo\u010dn\u00e1 svojim priebehom, ka\u017ed\u00e9 nastavenie je jedine\u010dn\u00e9, s\u00fa pou\u017eit\u00e9 r\u00f4zne varianty a kombin\u00e1cie k\u013azav\u00e9ho priemeru. Long story short&#8230; Klient dostane jednoduch\u00fd dashboard v Data Studiu, kde vid\u00ed priebeh metriky v \u010dase a v pr\u00edpade, \u017ee anom\u00e1lia nastane, aj varovn\u00fd e-mail.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-16236 aligncenter\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-dase.png\" alt=\"detekcia anom\u00e1li\u00ed, anomaly detection by DASE\" width=\"1145\" height=\"761\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-dase.png 1145w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-dase-300x199.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-dase-1024x681.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-dase-600x399.png 600w\" sizes=\"(max-width: 1145px) 100vw, 1145px\" \/><\/p>\n<p>Aj ke\u010f je n\u00e1\u0161 syst\u00e9m zatia\u013e len v plienkach, teda v beta verzii, podarilo sa v\u010faka nemu objavi\u0165 nieko\u013eko anom\u00e1li\u00ed, ktor\u00e9 by inak klienti odhalili len n\u00e1hodne, alebo pri vyhodnocovan\u00ed mesa\u010dn\u00fdch, pr\u00edpadne kvart\u00e1lnych reportov. Medzi najv\u00e4\u010d\u0161ie v\u00fdhody n\u00e1\u0161ho syst\u00e9mu na detekciu anom\u00e1li\u00ed patr\u00ed:<\/p>\n<ul>\n<li>mo\u017enos\u0165 nastavi\u0165 citlivos\u0165 detekcie namiesto fixn\u00fdch podmienok<\/li>\n<li>s\u00fahrnn\u00fd e-mail v pr\u00edpade, \u017ee nastane viac anom\u00e1li\u00ed v jeden de\u0148<\/li>\n<li>u\u017e pri \u00favodnom nastaven\u00ed vid\u00edte pribli\u017en\u00fd po\u010det upozornen\u00ed za rok<\/li>\n<li>mo\u017enos\u0165 nasadi\u0165 syst\u00e9m na ak\u00e9ko\u013evek d\u00e1ta (nie len Google Analytics)<\/li>\n<li>a to najlep\u0161ie nakoniec: sme otvoren\u00ed v\u0161etk\u00fdm pripomienkam a n\u00e1vrhom na zlep\u0161enie \ud83d\ude42<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>\u010ci u\u017e sa rozhodnete pou\u017e\u00edva\u0165 vlastn\u00e9 upozornenia v Google Analyics, alebo budete chcie\u0165 rie\u0161i\u0165 detekciu anom\u00e1li\u00ed pod taktovkou DASE, ur\u010dite to bude krok vpred na pomyselnej ceste k analytickej vyspelosti.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Desa\u0165n\u00e1sobne prekro\u010den\u00fd rozpo\u010det v Google Ads, \u201cvypnut\u00e9\u201d \u010di zn\u00e1soben\u00e9 meranie transakci\u00ed, alebo Google Analytics bez d\u00e1t. Za\u017eili ste&#8230;<\/p>\n","protected":false},"author":70,"featured_media":16247,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[200],"tags":[],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/16203"}],"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=16203"}],"version-history":[{"count":56,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/16203\/revisions"}],"predecessor-version":[{"id":16600,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/16203\/revisions\/16600"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/16247"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=16203"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=16203"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=16203"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}