{"id":8629,"date":"2022-06-15T07:25:27","date_gmt":"2022-06-15T05:25:27","guid":{"rendered":"https:\/\/www.leaplytics.de\/?p=8629"},"modified":"2022-06-15T07:25:30","modified_gmt":"2022-06-15T05:25:30","slug":"business-intelligence-pre-male-podniky-kedy-ma-zmysel-cast-2","status":"publish","type":"post","link":"https:\/\/www.leaplytics.de\/sk\/business-intelligence-pre-male-podniky-kedy-ma-zmysel-cast-2\/","title":{"rendered":"Business Intelligence pre mal\u00e9 podniky - kedy m\u00e1 zmysel? - \u010cAS\u0164 2"},"content":{"rendered":"<p>T\u00ed, ktor\u00ed poznaj\u00fa bud\u00facnos\u0165, s\u00fa vpredu! V na\u0161om trojdielnom \u010dl\u00e1nku si pre\u010d\u00edtajte, pre\u010do je Business Intelligence mimoriadne d\u00f4le\u017eit\u00e1 pre mal\u00e9 a stredn\u00e9 podniky (MSP), ak\u00fd n\u00e1ro\u010dn\u00fd je vlastne prv\u00fd krok, ale ak\u00e9 s\u00fa aj z\u00e1sadn\u00e9 v\u00fdhody a ako m\u00f4\u017eete k celej t\u00e9me pristupova\u0165 efekt\u00edvne. Odborn\u00edk na controlling a riadenie mal\u00fdch a stredn\u00fdch podnikov Andreas Malik, ako aj \u0161pecialisti na Business Intelligence a zakladatelia jedn\u00e9ho z popredn\u00fdch poskytovate\u013eov vizualiz\u00e1ci\u00ed \u00fadajov a dashboardov v oblasti Power BI a Qlik Sense Stefan Preusler a Dominik Galsheimer v\u00e1s svojimi sk\u00fasenos\u0165ami a odborn\u00fdmi znalos\u0165ami preved\u00fa t\u00fdmito 3 zauj\u00edmav\u00fdmi \u010das\u0165ami s\u00e9rie \u010dl\u00e1nkov. V prvej \u010dasti sa pozrieme na to, pre\u010do sa Business Intelligence a mal\u00e9 a stredn\u00e9 podniky dobre dop\u013a\u0148aj\u00fa. Druh\u00e1 \u010das\u0165 sa zaober\u00e1 jasn\u00fdm ur\u010den\u00edm v\u00fdhod, a teda n\u00e1jden\u00edm spr\u00e1vneho okamihu na jej spustenie. Tretia \u010das\u0165 v\u00e1m potom uk\u00e1\u017ee d\u00f4le\u017eit\u00e9 prv\u00e9 kroky pri implement\u00e1cii a zav\u00e1dzan\u00ed<\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<p><strong>\u010cas\u0165 2: N\u00e1jdenie spr\u00e1vneho \u010dasu a rozpoznanie v\u00fdhod<\/strong><\/p>\n\n\n\n<p>Vo v\u00e4\u010d\u0161ine pr\u00edpadov nie je jednoduch\u00e9 ur\u010di\u0165 spr\u00e1vny okamih prechodu na syst\u00e9m BI. Mus\u00edme prizna\u0165, \u017ee kompletn\u00fd reporting v Exceli bol vybudovan\u00fd s ve\u013ek\u00fdm \u00fasil\u00edm pri n\u00e1ro\u010dnej pr\u00e1ci na detailoch a neust\u00e1le sa prisp\u00f4sobuje aktu\u00e1lnym potreb\u00e1m. V niektor\u00fdch pr\u00edpadoch sa na prisp\u00f4sobovan\u00ed podie\u013ea mnoho r\u00f4znych \u013eud\u00ed, st\u00e1\u017eistov alebo brig\u00e1dnikov, ktor\u00ed prin\u00e1\u0161aj\u00fa pr\u00edslu\u0161n\u00e9 know-how Excelu. Sk\u00fasenosti uk\u00e1zali, \u017ee nasleduj\u00face v\u00fdroky s\u00fa zn\u00e1mkou toho, \u017ee Excel dosahuje svoje hranice:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>S\u00fabory Excel s\u00fa \u010doraz v\u00e4\u010d\u0161ie a sl\u00fa\u017eia ako datab\u00e1za<\/li><li>\u010casto sa zr\u00fatia a stan\u00fa sa ve\u013emi \u0165a\u017ekop\u00e1dnymi<\/li><li>Zvy\u010dajne s\u00fa dostupn\u00e9 len na mieste. Spr\u00e1vy sa tla\u010dia alebo posielaj\u00fa po\u0161tou. \"Pravda\" existuje vo viacer\u00fdch \u0161trukt\u00farach prie\u010dinkov, po\u0161tov\u00fdch schr\u00e1nkach, fyzick\u00fdch kartot\u00e9kach a z\u00e1suvk\u00e1ch<\/li><li>Zmeny si vy\u017eaduj\u00fa \u010doraz viac \u00fasilia a ich realiz\u00e1cia trv\u00e1 dlho<\/li><li>\u00dadaje sa \u010doraz \u010dastej\u0161ie pren\u00e1\u0161aj\u00fa ru\u010dne z jedn\u00e9ho s\u00faboru programu Excel do druh\u00e9ho<\/li><li>\u010coraz \u010dastej\u0161ie sa vyskytuj\u00fa nezrovnalosti medzi spr\u00e1vami\/spr\u00e1vami a zvy\u0161uje sa \u00fasilie o kontrolu ofici\u00e1lnych spr\u00e1v a hodnotiacich udalost\u00ed.<\/li><li>Okrem mana\u017ementu je \u010doraz viac intern\u00fdch pr\u00edjemcov spr\u00e1v s individu\u00e1lnymi po\u017eiadavkami na spr\u00e1vy.<\/li><li>Ak je vykazovanie decentralizovan\u00e9, napr. na produktov\u00e9 alebo predajn\u00e9 oblasti, doch\u00e1dza k \u010fal\u0161\u00edm nezrovnalostiam a v niektor\u00fdch pr\u00edpadoch sa vykazuj\u00fa odli\u0161n\u00e9 \u00fadaje.<\/li><li>Okrem intern\u00fdch zainteresovan\u00fdch str\u00e1n existuje aj \u010doraz viac extern\u00fdch zainteresovan\u00fdch str\u00e1n, ktor\u00e9 trvaj\u00fa na pr\u00e1vnych \u0161trukt\u00farach (taxon\u00f3mi\u00e1ch), ktor\u00e9 s\u00fa zvy\u010dajne ve\u013emi odli\u0161n\u00e9 od intern\u00fdch \u0161trukt\u00far.<\/li><li>\u010coraz \u010dastej\u0161ie sa po\u017eaduj\u00fa ad-hoc anal\u00fdzy podrobnost\u00ed. \u0160trukt\u00fary \u00fadajov sa nezhoduj\u00fa a musia sa spracova\u0165 a porovna\u0165 s ve\u013ek\u00fdm \u00fasil\u00edm<\/li><li>Finan\u010dn\u00e9 \u00fadaje sa musia \u010doraz \u010dastej\u0161ie vysvet\u013eova\u0165 prev\u00e1dzkov\u00fdmi \u00fadajmi, napr. vplyvom sortimentu v\u00fdrobkov, trhu a z\u00e1kazn\u00edkov, mar\u017eou, odch\u00fdlkami vo v\u00fdrobe at\u010f.<\/li><li>Tabu\u013ekov\u00e9 \u0161trukt\u00fary u\u017e neposta\u010duj\u00fa na sumarizuj\u00facu prezent\u00e1ciu vz\u00e1jomn\u00fdch vz\u0165ahov. V\u00fdsledkom s\u00fa \"\u010d\u00edseln\u00e9 cintor\u00edny\".<\/li><li>\u00dadaje a vz\u00e1jomn\u00e9 vz\u0165ahy sa musia \u010doraz \u010dastej\u0161ie vysvet\u013eova\u0165 pomocou viacer\u00fdch dimenzi\u00ed, napr. produktov, z\u00e1kazn\u00edkov, pobo\u010diek, regi\u00f3nov, obchodn\u00fdch jednotiek, v\u00fdrobn\u00fdch z\u00e1vodov at\u010f.<\/li><\/ul>\n\n\n\n<p><strong>Ak\u00e9 v\u00fdhody pon\u00fakaj\u00fa rie\u0161enia BI?<\/strong><\/p>\n\n\n\n<p>Ke\u010f sa spolo\u010dnosti \u010doraz \u010dastej\u0161ie stret\u00e1vaj\u00fa s vy\u0161\u0161ie uveden\u00fdmi v\u00fdzvami, zva\u017euj\u00fa zavedenie syst\u00e9mu BI. V\u00fdhody syst\u00e9mu BI pre MSP mo\u017eno zhrn\u00fa\u0165 takto:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Jednotn\u00fd a komplexn\u00fd z\u00e1klad \u00fadajov mo\u017eno pou\u017ei\u0165 kedyko\u013evek (z\u00e1kladom s\u00fa finan\u010dn\u00e9 a nefinan\u010dn\u00e9 \u00fadaje)<\/li><li>Vo v\u0161etk\u00fdch spr\u00e1vach sa pou\u017e\u00edvaj\u00fa jednotn\u00e9 a integrovan\u00e9 d\u00e1tov\u00e9 \u0161trukt\u00fary<\/li><li>\u0160tandardizovan\u00e9 vizualiz\u00e1cie poskytuj\u00fa tvorcom zost\u00e1v mo\u017enos\u0165 vytv\u00e1ra\u0165 a prezentova\u0165 komplexn\u00e9 vz\u0165ahy ve\u013emi efekt\u00edvnym a integrovan\u00fdm sp\u00f4sobom<\/li><li>Jednotn\u00e1 distrib\u00facia inform\u00e1ci\u00ed v\u00e4\u010d\u0161inou online a dostupn\u00e1 na v\u0161etk\u00fdch zariadeniach v citlivej forme. Pou\u017e\u00edvatelia m\u00f4\u017eu individu\u00e1lne vyh\u013ead\u00e1va\u0165 a kontrolova\u0165 informa\u010dn\u00e9 potreby v reakt\u00edvnom rozhran\u00ed, napr. prostredn\u00edctvom filtrov alebo drill-downs alebo \u010fal\u0161ieho pr\u00edstupu k in\u00fdm prepojen\u00fdm \u00fadajom<\/li><\/ul>\n\n\n\n<p>Obmedzuje sa najm\u00e4 zv\u00fd\u0161en\u00e1 manu\u00e1lna pr\u00e1ca pri vytv\u00e1ran\u00ed, oprav\u00e1ch a overovan\u00ed. Okrem toho sa pon\u00fakaj\u00fa funkcie, ktor\u00e9 mimoriadne u\u013eah\u010duj\u00fa splnenie zv\u00fd\u0161en\u00fdch po\u017eiadaviek.<\/p>\n\n\n\n<p>Z\u00e1kladn\u00fd cie\u013e syst\u00e9mu BI by sa nemal vzdiali\u0165 od zamerania, ktor\u00fdm je podpora rozhodnut\u00ed a z\u00edskavanie poznatkov z \u00fadajov. Syst\u00e9m BI je u\u017eito\u010dn\u00fd, ak odbreme\u0148uje spolo\u010dnos\u0165 od manu\u00e1lnych \u010dinnost\u00ed. \u010cinnosti nielen pri vytv\u00e1ran\u00ed poznatkov, ale aj pri ich interpret\u00e1cii a tie\u017e pri odvodzovan\u00ed rozhodnut\u00ed. To sa v\u00e4\u010d\u0161inou dosiahne vtedy, ke\u010f sa zobrazia korel\u00e1cie alebo z\u00e1vislosti, ktor\u00e9 by inak musel vytvori\u0165 s\u00e1m \u013eudsk\u00fd rozum a mozog. Najm\u00e4 pri spracovan\u00ed ve\u013ek\u00e9ho mno\u017estva inform\u00e1ci\u00ed \u013eudsk\u00fd mozog nar\u00e1\u017ea na limity, ktor\u00e9 pri technickom syst\u00e9me spo\u010diatku neexistuj\u00fa.<\/p>\n\n\n\n<p>V tretej \u010dasti si pre\u010d\u00edtajte, ako spr\u00e1vne \u0161trukt\u00farova\u0165 t\u00e9mu BI a ak\u00e9 m\u00f4\u017eu by\u0165 prv\u00e9 konkr\u00e9tne kroky pre va\u0161u spolo\u010dnos\u0165. <\/p>\n\n\n\n<p>V pr\u00edpade \u010fal\u0161\u00edch ot\u00e1zok sme v\u00e1m k dispoz\u00edcii:<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.leaplytics.de\/wp-content\/uploads\/2022\/06\/Screenshot-2022-06-07-203456.png\" alt=\"\" class=\"wp-image-8481\" width=\"834\" height=\"447\" srcset=\"https:\/\/www.leaplytics.de\/wp-content\/uploads\/2022\/06\/Screenshot-2022-06-07-203456.png 600w, https:\/\/www.leaplytics.de\/wp-content\/uploads\/2022\/06\/Screenshot-2022-06-07-203456-300x161.png 300w, https:\/\/www.leaplytics.de\/wp-content\/uploads\/2022\/06\/Screenshot-2022-06-07-203456-112x60.png 112w\" sizes=\"auto, (max-width: 834px) 100vw, 834px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>","protected":false},"excerpt":{"rendered":"<p>T\u00ed, ktor\u00ed poznaj\u00fa bud\u00facnos\u0165, s\u00fa vpredu! V na\u0161om trojdielnom \u010dl\u00e1nku si pre\u010d\u00edtajte, pre\u010do je Business Intelligence mimoriadne d\u00f4le\u017eit\u00e1 pre mal\u00e9 a stredn\u00e9 podniky (MSP), ak\u00fd n\u00e1ro\u010dn\u00fd je vlastne prv\u00fd krok, ale ak\u00e9 s\u00fa aj z\u00e1sadn\u00e9 v\u00fdhody a ako m\u00f4\u017eete k celej t\u00e9me pristupova\u0165 efekt\u00edvne. Odborn\u00edk MSP na controlling a ... <\/p>","protected":false},"author":1,"featured_media":8480,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-8629","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","latest_post"],"_links":{"self":[{"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/posts\/8629","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/comments?post=8629"}],"version-history":[{"count":0,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/posts\/8629\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/media\/8480"}],"wp:attachment":[{"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/media?parent=8629"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/categories?post=8629"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/tags?post=8629"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}