{"id":3192,"date":"2026-04-27T22:50:58","date_gmt":"2026-04-27T20:50:58","guid":{"rendered":"https:\/\/emarkanalytics.com\/engine\/predikcie-maloobchodneho-predaja-v-qlik-sense"},"modified":"2026-05-11T19:22:15","modified_gmt":"2026-05-11T17:22:15","slug":"predikcie-maloobchodneho-predaja-v-qlik-sense","status":"publish","type":"post","link":"https:\/\/emarkanalytics.com\/sk\/predikcie-maloobchodneho-predaja-v-qlik-sense","title":{"rendered":"Predikcie maloobchodn\u00e9ho predaja v Qlik Sense"},"content":{"rendered":"<p>Predikcie zalo\u017een\u00e9 na machine learningov\u00fdch technik\u00e1ch nezvykn\u00fa by\u0165 nat\u00edvnou s\u00fa\u010das\u0165ou BI n\u00e1strojov. Oproti tomu open-source programovacie jazyky <a href=\"https:\/\/www.r-project.org\/about.html\">R<\/a> a <a href=\"https:\/\/www.python.org\/about\/\">Python<\/a>, ktor\u00e9 s\u00fa pre machine learning \u010dasto vyu\u017e\u00edvan\u00e9, s\u00fa ide\u00e1lni kandid\u00e1ti. Mo\u017enos\u0165 maticov\u00fdch v\u00fdpo\u010dtov a ve\u013ek\u00e9 mno\u017estvo bal\u00edkov zameran\u00fdch na machine learning, \u0161tatistiku a optimaliza\u010dn\u00e9 \u00falohy ich predur\u010duj\u00fa na tento typ zadan\u00ed. V\u00fdhody ktor\u00e9 so sebou prin\u00e1\u0161a R\/Python by v\u0161ak ur\u010dite nemali by\u0165 v\u00fdsadou iba data science \u0161pecialistov. BI n\u00e1stroje a data science by sa mali navz\u00e1jom dop\u013a\u0148a\u0165. Ak nastav\u00edme komunik\u00e1ciu medzi BI n\u00e1strojmi a R\/Pythonom, z\u00edskame dve z\u00e1kladn\u00e9 pozit\u00edva:<\/p>\n<ul>\n<li>U\u017e\u00edvatelia BI n\u00e1strojov sa bud\u00fa m\u00f4c\u0165 rozhodova\u0165 na z\u00e1klade modelov, ktor\u00e9 vytvoria data science \u0161pecialisti<\/li>\n<li>U\u017e\u00edvatelia bud\u00fa schopn\u00ed vyu\u017e\u00edva\u0165 pokro\u010dil\u00e9 \u0161tatistick\u00e9 a optimaliza\u010dn\u00e9 met\u00f3dy, bez toho aby museli ovl\u00e1da\u0165 syntax jazykov R alebo Python (napr\u00edklad predikciu predaja).<\/li>\n<\/ul>\n<h2>Data science v Qliku<\/h2>\n<p>V\u00a0pr\u00edpade Qliku je komunik\u00e1cia s\u00a0extern\u00fdmi v\u00fdpo\u010dtov\u00fdmi jazykmi sprostredkovan\u00e1 pomocou tzv. <a href=\"https:\/\/github.com\/qlik-oss\/server-side-extension\">Server Side Extension<\/a> (SSE). Ve\u013emi zjednodu\u0161ene:<\/p>\n<ol>\n<li>Qlik priprav\u00ed potrebn\u00e9 d\u00e1ta a\u00a0odo\u0161le ich do R\/Pythonu<\/li>\n<li>V\u00a0R\/Pythone prebehn\u00fa v\u00fdpo\u010dty (odhad modelu, vytvorenie v\u00fdstupy modelov, predikcie, at\u010f.)<\/li>\n<li>R\/Python odo\u0161le nasp\u00e4\u0165 do Qliku d\u00e1ta a\u00a0ten ich n\u00e1sledne vizualizuje.<\/li>\n<\/ol>\n<p>Existuje pritom viacero mo\u017enost\u00ed, ako t\u00fato komunik\u00e1ciu vyvola\u0165:<\/p>\n<ul>\n<li>V\u00a0data load editore Qliku (tam kde p\u00ed\u0161ete Qlik skript) nap\u00ed\u0161ete R\/Python skript a\u00a0zad\u00e1te, ktor\u00e9 d\u00e1ta sa maj\u00fa z\u00a0Qliku odosla\u0165. N\u00e1sledne po prebehnut\u00ed loadu aplik\u00e1cie sa R\/Python skript vyhodnot\u00ed a vr\u00e1ti do Qliku nov\u00fa tabu\u013eku.<\/li>\n<li>Priamo v\u00a0aplik\u00e1cii je mo\u017en\u00e9 nadefinova\u0165 nov\u00fa metriku, ktor\u00e1 bude vyr\u00e1tan\u00e1 externe v\u00a0R\/Pythone na z\u00e1klade \u00fadajov, ktor\u00e9 po\u0161leme z Qliku<\/li>\n<li>Nadefinovan\u00edm novej funkcie, ktor\u00e1 sa bude tv\u00e1ri\u0165 rovnako ako nat\u00edvne Qlik funkcie, ale jej v\u00fdpo\u010det bude prebieha\u0165 externe v\u00a0R\/Pythone. Tak\u00fato funkciu je potom mo\u017en\u00e9 vola\u0165 priamo v\u00a0aplik\u00e1cii ako metriku alebo v\u00a0Qlik skripte<\/li>\n<\/ul>\n<p>Pr\u00e1ve posledn\u00fa variantu vyu\u017eil Nabeel Asif pre vytvorenie SSE plug-inu <a href=\"https:\/\/github.com\/nabeel-oz\/qlik-py-tools\">PyTools<\/a>. Je to vlastne s\u00fabor Python funkci\u00ed pre machine learning, ktor\u00e9 sa daj\u00fa vola\u0165 z Qliku (postup ako PyTools nain\u0161talova\u0165 n\u00e1jdete <a href=\"https:\/\/github.com\/nabeel-oz\/qlik-py-tools#pre-requisites\">tu<\/a>). Spracoval pri tom aj funkcie pre n\u00e1stroj Prophet &#8211; ten sme vyu\u017eili aj v predch\u00e1dzaj\u00facom \u010dl\u00e1nku.<\/p>\n<figure id=\"attachment_6991\" aria-describedby=\"caption-attachment-6991\" style=\"width: 519px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-6991\" src=\"https:\/\/emarkanalytics.com\/wp-content\/uploads\/2026\/04\/ProphetPython.png\" alt=\"SSE Qlik\" width=\"519\" height=\"217\" \/><figcaption id=\"caption-attachment-6991\" class=\"wp-caption-text\">Uk\u00e1\u017eka volania Python skriptu<\/figcaption><\/figure>\n<figure id=\"attachment_6992\" aria-describedby=\"caption-attachment-6992\" style=\"width: 520px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-6992\" src=\"https:\/\/emarkanalytics.com\/wp-content\/uploads\/2026\/04\/ProphetPyTools.png\" alt=\"SSE Qlik\" width=\"520\" height=\"94\" \/><figcaption id=\"caption-attachment-6992\" class=\"wp-caption-text\">Uk\u00e1\u017eka volania predvytvorenej funkcie.<\/figcaption><\/figure>\n<h2>Predikcie predaja malobochodnej spolo\u010dnosti<\/h2>\n<p>Prejdime k pr\u00edkladu z minula. Firma so sie\u0165ou maloobchodn\u00fdch predajn\u00ed m\u00e1 potrebu predikova\u0165 bud\u00faci predaj v konkr\u00e9tnych d\u0148och. V tomto pr\u00edspevku nep\u00f4jdeme do h\u013abky toho, ako by mal spr\u00e1vne vyzera\u0165 proces tvorenia a testovania predik\u010dn\u00e9ho modelu, ale sk\u00f4r si uk\u00e1\u017eeme, ak\u00e9 jednoduch\u00e9 je zavola\u0165 takto preddefinovan\u00fa funkciu priamo z Qlik aplik\u00e1cie.<\/p>\n<p>Prophet m\u00e1 nieko\u013eko dobr\u00fdch vlastnost\u00ed. Jednou z nich je, \u017ee s\u00e1m automaticky detekuje a po\u010d\u00edta sez\u00f3nnosti. Ak mu po\u0161leme z Qliku d\u00e1ta o historick\u00fdch predajoch, s\u00e1m automaticky vytvor\u00ed ro\u010dn\u00fa a t\u00fd\u017edenn\u00fa sez\u00f3nnu zlo\u017eku. Iba na z\u00e1klade tohto \u010dasov\u00e9ho radu teda vieme jednoducho z\u00edska\u0165 pomerne dobr\u00fa predikciu. K tomu e\u0161te pre na\u0161e potreby prid\u00e1me inform\u00e1ciu o tom, ktor\u00e9 dni maj\u00fa promo akcie.<\/p>\n<p>Do predvytvoren\u00e9ho line chartu n\u00e1sledne sta\u010d\u00ed prida\u0165 nov\u00fa metriku: <em>PyTools.Prophet_Multivariate([Date], Sum(#Sales), Promo, &#8220;, &#8220;, &#8218;freq=D&#8216;)<\/em>. V podste iba vol\u00e1me funkciu\u00a0<em>Prophet_Multivariate<\/em> z SSE plug-inu\u00a0<em>PyTools<\/em> a posielame d\u00e1ta z Qliku <em>Date, #Sales, Promo.\u00a0<\/em>Parametrom <em>&#8218;freq=D&#8216;\u00a0<\/em>hovor\u00edme, \u017ee chceme vytvori\u0165 predikciu s dennou frekvenciou a pr\u00e1zdne \u00favodzovky s\u00fa miestom, kde by sme mohli doplni\u0165 \u010fal\u0161ie nepovinn\u00e9 parametre. V\u00fdsledok:<\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-6996 size-full\" src=\"https:\/\/emarkanalytics.com\/wp-content\/uploads\/2026\/04\/Predikcia.gif\" alt=\"Predikcia\" width=\"1382\" height=\"680\" \/><\/p>\n<p>Vr\u00e1\u0165me sa e\u0161te na chv\u00ed\u013eu k mo\u017enostiam ako vyvola\u0165 extern\u00fd v\u00fdpo\u010det v R alebo Pythone. Ve\u013ekou v\u00fdhodou komunik\u00e1cie Qlik \u2013 R\/Python cez SSE je, \u017ee v pr\u00edpade volania funkcie alebo skriptu z Qlik aplik\u00e1cie prebieha v\u00fdpo\u010det a\u017e v tom momente. In\u00fdmi slovami, Qlik aplik\u00e1cia odo\u0161le do R\/Pythonu d\u00e1ta, ktor\u00e9 m\u00e1te vyfiltrovan\u00e9. Pre vytvorenie predikci\u00ed jednotliv\u00fdch predajn\u00ed n\u00e1m potom sta\u010d\u00ed tieto predajne iba vyfiltrova\u0165. Na \u010fal\u0161om obr\u00e1zku m\u00f4\u017eeme vidie\u0165, ako sa nov\u00fd v\u00fdpo\u010det prer\u00e1tava v momente aplikovania filtrov. V pr\u00edpade n\u00e1ro\u010dnej\u0161\u00edch v\u00fdpo\u010dtov je dobr\u00e9 ma\u0165 toto na pam\u00e4ti a v\u00fdsledky predkalkulova\u0165 v momente reloadu Qlik aplik\u00e1cie.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-6995 size-full\" src=\"https:\/\/emarkanalytics.com\/wp-content\/uploads\/2026\/04\/Filtracia.gif\" alt=\"Filtr\u00e1cia predikcie\" width=\"1382\" height=\"680\" \/><\/p>\n<p>Ver\u00edm, \u017ee som vo v\u00e1s vzbudil z\u00e1ujem o pos\u00favanie hran\u00edc analytiky Qlik Sense. V pr\u00edpade, \u017ee v\u00e1s predikcie ako t\u00e9ma zauj\u00edmaj\u00fa alebo m\u00e1te nejak\u00e9 ot\u00e1zky, nev\u00e1hajte ma kontaktova\u0165.<\/p>\n<p>&#8212;<\/p>\n<p>Budem v\u010fa\u010dn\u00fd za ak\u00e9ko\u013evek pripomienky, podnety \u010di in\u0161pir\u00e1cie v komentoch \u010di e-mailom na <a href=\"mailto:juracek@emarkanalytics.com\">juracek@emarkanalytics.com<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>V predch\u00e1dzaj\u00facom \u010dl\u00e1nku som sa pok\u00fasil pribl\u00ed\u017ei\u0165, pre\u010do je dobr\u00e9 pos\u00fava\u0165 sa za hranice d\u00e1tovej analytiky smerom k data science. Tento pr\u00edspevok bude trochu technickej\u0161\u00ed. Uk\u00e1\u017eeme si, ako jednoducho sa d\u00e1 vytvori\u0165 predikcia predaja priamo v BI n\u00e1stroji Qlik Sense.<\/p>\n","protected":false},"author":1,"featured_media":3194,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[53],"tags":[],"class_list":["post-3192","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics-insight"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Predikcie maloobchodn\u00e9ho predaja v Qlik Sense - Emark<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/emarkanalytics.com\/sk\/predikcie-maloobchodneho-predaja-v-qlik-sense\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predikcie maloobchodn\u00e9ho predaja v Qlik Sense - Emark\" \/>\n<meta property=\"og:description\" content=\"V predch\u00e1dzaj\u00facom \u010dl\u00e1nku som sa pok\u00fasil pribl\u00ed\u017ei\u0165, pre\u010do je dobr\u00e9 pos\u00fava\u0165 sa za hranice d\u00e1tovej analytiky smerom k data science. 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