{"id":1830,"date":"2026-04-27T22:50:58","date_gmt":"2026-04-27T20:50:58","guid":{"rendered":"https:\/\/emarkanalytics.com\/engine\/?p=1830"},"modified":"2026-05-11T19:23:45","modified_gmt":"2026-05-11T17:23:45","slug":"predikce-maloobchodniho-prodeje-v-qlik-sense","status":"publish","type":"post","link":"https:\/\/emarkanalytics.com\/cs\/predikce-maloobchodniho-prodeje-v-qlik-sense","title":{"rendered":"Predikce maloobchodn\u00edho prodeje v Qlik Sense"},"content":{"rendered":"<p>Predikce zalo\u017een\u00e9 na machine learningov\u00fdch technik\u00e1ch neb\u00fdvaj\u00ed nativn\u00ed sou\u010d\u00e1st\u00ed BI n\u00e1stroj\u016f. Oproti tomu open-source programovac\u00ed jazyky <a href=\"https:\/\/www.r-project.org\/about.html\">R<\/a> a <a href=\"https:\/\/www.python.org\/about\/\">Python<\/a>, kter\u00e9 jsou pro machine learning \u010dasto vyu\u017e\u00edv\u00e1ny, jsou ide\u00e1ln\u00edmi kandid\u00e1ty. Mo\u017enost maticov\u00fdch v\u00fdpo\u010dt\u016f a velk\u00e9 mno\u017estv\u00ed bal\u00ed\u010dk\u016f zam\u011b\u0159en\u00fdch na machine learning, statistiku a optimaliza\u010dn\u00ed \u00falohy je p\u0159edur\u010duj\u00ed pro tento typ zad\u00e1n\u00ed. V\u00fdhody, kter\u00e9 s sebou R\/Python p\u0159in\u00e1\u0161\u00ed, by v\u0161ak rozhodn\u011b nem\u011bly b\u00fdt v\u00fdsadou pouze data science specialist\u016f. BI n\u00e1stroje a data science by se m\u011bly vz\u00e1jemn\u011b dopl\u0148ovat. Pokud nastav\u00edme komunikaci mezi BI n\u00e1stroji a R\/Pythonem, z\u00edsk\u00e1me dv\u011b z\u00e1kladn\u00ed pozitiva:<\/p>\n<ul>\n<li>U\u017eivatel\u00e9 BI n\u00e1stroj\u016f se budou moci rozhodovat na z\u00e1klad\u011b model\u016f, kter\u00e9 vytvo\u0159\u00ed data science specialist\u00e9<\/li>\n<li>U\u017eivatel\u00e9 budou schopni vyu\u017e\u00edvat pokro\u010dil\u00e9 statistick\u00e9 a optimaliza\u010dn\u00ed metody, ani\u017e by museli ovl\u00e1dat syntaxi jazyk\u016f R nebo Python (nap\u0159\u00edklad predikci prodeje).<\/li>\n<\/ul>\n<h2>Data science v Qliku<\/h2>\n<p> V p\u0159\u00edpad\u011b Qliku je komunikace s extern\u00edmi v\u00fdpo\u010detn\u00edmi jazyky zprost\u0159edkov\u00e1na pomoc\u00ed tzv. <a href=\"https:\/\/github.com\/qlik-oss\/server-side-extension\">Server Side Extension<\/a> (SSE). Velmi zjednodu\u0161en\u011b: <\/p>\n<ol>\n<li>Qlik p\u0159iprav\u00ed pot\u0159ebn\u00e1 data a ode\u0161le je do R\/Pythonu<\/li>\n<li>V R\/Pythonu prob\u011bhnou v\u00fdpo\u010dty (odhad modelu, vytvo\u0159en\u00ed v\u00fdstup\u016f model\u016f, predikce atd.)<\/li>\n<li>R\/Python ode\u0161le zp\u011bt do Qliku data a ten je n\u00e1sledn\u011b vizualizuje.<\/li>\n<\/ol>\n<p> Existuje p\u0159itom v\u00edce mo\u017enost\u00ed, jak tuto komunikaci vyvolat: <\/p>\n<ul>\n<li>V data load editoru Qliku (tam, kde p\u00ed\u0161ete Qlik skript) nap\u00ed\u0161ete R\/Python skript a zad\u00e1te, kter\u00e1 data se maj\u00ed z Qliku odeslat. N\u00e1sledn\u011b po prob\u011bhnut\u00ed reloadu aplikace se R\/Python skript vyhodnot\u00ed a vr\u00e1t\u00ed do Qliku novou tabulku.<\/li>\n<li>P\u0159\u00edmo v aplikaci je mo\u017en\u00e9 nadefinovat novou metriku, kter\u00e1 bude vypo\u010d\u00edt\u00e1na extern\u011b v R\/Pythonu na z\u00e1klad\u011b \u00fadaj\u016f, kter\u00e9 po\u0161leme z Qliku<\/li>\n<li>Nadefinov\u00e1n\u00edm nov\u00e9 funkce, kter\u00e1 se bude tv\u00e1\u0159it stejn\u011b jako nativn\u00ed Qlik funkce, ale jej\u00ed v\u00fdpo\u010det bude prob\u00edhat extern\u011b v R\/Pythonu. Takovou funkci je potom mo\u017en\u00e9 volat p\u0159\u00edmo v aplikaci jako metriku nebo v Qlik skriptu<\/li>\n<\/ul>\n<p> Pr\u00e1v\u011b posledn\u00ed variantu vyu\u017eil Nabeel Asif pro vytvo\u0159en\u00ed SSE plug-inu <a href=\"https:\/\/github.com\/nabeel-oz\/qlik-py-tools\">PyTools<\/a>. Je to vlastn\u011b soubor Python funkc\u00ed pro machine learning, kter\u00e9 lze volat z Qliku (postup, jak PyTools nainstalovat, najdete <a href=\"https:\/\/github.com\/nabeel-oz\/qlik-py-tools#pre-requisites\">zde<\/a>). Zpracoval p\u0159itom i funkce pro n\u00e1stroj Prophet \u2014 ten jsme vyu\u017eili i v p\u0159edchoz\u00edm \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\u00e1zka vol\u00e1n\u00ed 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\u00e1zka vol\u00e1n\u00ed p\u0159edvytvo\u0159en\u00e9 funkce.<\/figcaption><\/figure>\n<h2>Predikce prodeje maloobchodn\u00ed spole\u010dnosti<\/h2>\n<p> P\u0159ejd\u011bme k p\u0159\u00edkladu z minula. Firma se s\u00edt\u00ed maloobchodn\u00edch prodejen pot\u0159ebuje predikovat budouc\u00ed prodej v konkr\u00e9tn\u00edch dnech. V tomto p\u0159\u00edsp\u011bvku nep\u016fjdeme do hloubky toho, jak by m\u011bl spr\u00e1vn\u011b vypadat proces tvorby a testov\u00e1n\u00ed predik\u010dn\u00edho modelu, ale sp\u00ed\u0161e si uk\u00e1\u017eeme, jak jednoduch\u00e9 je zavolat takto p\u0159eddefinovanou funkci p\u0159\u00edmo z Qlik aplikace.<\/p>\n<p>Prophet m\u00e1 n\u011bkolik dobr\u00fdch vlastnost\u00ed. Jednou z nich je, \u017ee s\u00e1m automaticky detekuje a po\u010d\u00edt\u00e1 sez\u00f3nnosti. Pokud mu po\u0161leme z Qliku data o historick\u00fdch prodej\u00edch, s\u00e1m automaticky vytvo\u0159\u00ed ro\u010dn\u00ed a t\u00fddenn\u00ed sez\u00f3nn\u00ed slo\u017eku. Pouze na z\u00e1klad\u011b t\u00e9to \u010dasov\u00e9 \u0159ady tedy dok\u00e1\u017eeme jednodu\u0161e z\u00edskat pom\u011brn\u011b dobrou predikci. K tomu je\u0161t\u011b pro na\u0161e pot\u0159eby p\u0159id\u00e1me informaci o tom, kter\u00e9 dny maj\u00ed promo akce.<\/p>\n<p>Do p\u0159edvytvo\u0159en\u00e9ho line chartu n\u00e1sledn\u011b sta\u010d\u00ed p\u0159idat novou metriku: <em>PyTools.Prophet_Multivariate([Date], Sum(#Sales), Promo, &#8220;, &#8220;, &#8218;freq=D&#8216;)<\/em>. V podstat\u011b pouze vol\u00e1me funkci <em>Prophet_Multivariate<\/em> z SSE plug-inu <em>PyTools<\/em> a pos\u00edl\u00e1me data z Qliku <em>Date, #Sales, Promo.<\/em> Parametrem <em>&#8218;freq=D&#8216;<\/em> \u0159\u00edk\u00e1me, \u017ee chceme vytvo\u0159it predikci s denn\u00ed frekvenc\u00ed a pr\u00e1zdn\u00e9 uvozovky jsou m\u00edstem, kam bychom mohli doplnit dal\u0161\u00ed nepovinn\u00e9 parametry. V\u00fdsledek:<\/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=\"Predikce\" width=\"1382\" height=\"680\" \/><\/p>\n<p>Vra\u0165me se je\u0161t\u011b na chv\u00edli k mo\u017enostem, jak vyvolat extern\u00ed v\u00fdpo\u010det v R nebo Pythonu. Velkou v\u00fdhodou komunikace Qlik \u2013 R\/Python p\u0159es SSE je, \u017ee v p\u0159\u00edpad\u011b vol\u00e1n\u00ed funkce nebo skriptu z Qlik aplikace prob\u00edh\u00e1 v\u00fdpo\u010det a\u017e v dan\u00e9m okam\u017eiku. Jin\u00fdmi slovy, Qlik aplikace ode\u0161le do R\/Pythonu data, kter\u00e1 m\u00e1te vyfiltrovan\u00e1. Pro vytvo\u0159en\u00ed predikc\u00ed jednotliv\u00fdch prodejen n\u00e1m pak sta\u010d\u00ed tyto prodejny pouze vyfiltrovat. Na dal\u0161\u00edm obr\u00e1zku m\u016f\u017eeme vid\u011bt, jak se nov\u00fd v\u00fdpo\u010det p\u0159epo\u010d\u00edt\u00e1v\u00e1 v moment\u011b aplikov\u00e1n\u00ed filtr\u016f. V p\u0159\u00edpad\u011b n\u00e1ro\u010dn\u011bj\u0161\u00edch v\u00fdpo\u010dt\u016f je dobr\u00e9 m\u00edt toto na pam\u011bti a v\u00fdsledky p\u0159edkalkulovat p\u0159i reloadu Qlik aplikace.<\/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=\"Filtrov\u00e1n\u00ed predikce\" width=\"1382\" height=\"680\" \/><\/p>\n<p>V\u011b\u0159\u00edm, \u017ee jsem ve v\u00e1s vzbudil z\u00e1jem o posouv\u00e1n\u00ed hranic analytiky Qlik Sense. Pokud v\u00e1s predikce jako t\u00e9ma zaj\u00edmaj\u00ed nebo m\u00e1te n\u011bjak\u00e9 ot\u00e1zky, nev\u00e1hejte m\u011b kontaktovat.<\/p>\n<p>Budu vd\u011b\u010dn\u00fd za jak\u00e9koli p\u0159ipom\u00ednky, podn\u011bty \u010di inspirace v koment\u00e1\u0159\u00edch nebo e-mailem na <a href=\"mailto:juracek@emarkanalytics.com\">juracek@emarkanalytics.com<br \/>\n<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>V p\u0159edchoz\u00edm \u010dl\u00e1nku jsem se pokusil p\u0159ibl\u00ed\u017eit, pro\u010d je dobr\u00e9 posouvat se za hranice datov\u00e9 analytiky sm\u011brem k data science. Tento p\u0159\u00edsp\u011bvek bude trochu techni\u010dt\u011bj\u0161\u00ed. Uk\u00e1\u017eeme si, jak jednodu\u0161e lze vytvo\u0159it predikci prodeje p\u0159\u00edmo v BI n\u00e1stroji Qlik Sense.<\/p>\n","protected":false},"author":1,"featured_media":1832,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[52],"tags":[],"class_list":["post-1830","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>Predikce maloobchodn\u00edho prodeje 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\/cs\/predikce-maloobchodniho-prodeje-v-qlik-sense\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predikce maloobchodn\u00edho prodeje v Qlik Sense - Emark\" \/>\n<meta property=\"og:description\" content=\"V p\u0159edchoz\u00edm \u010dl\u00e1nku jsem se pokusil p\u0159ibl\u00ed\u017eit, pro\u010d je dobr\u00e9 posouvat se za hranice datov\u00e9 analytiky sm\u011brem k data science. Tento p\u0159\u00edsp\u011bvek bude trochu techni\u010dt\u011bj\u0161\u00ed. 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