{"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-pro-male-podniky-kdy-ma-smysl-2-cast","status":"publish","type":"post","link":"https:\/\/www.leaplytics.de\/cs\/business-intelligence-pro-male-podniky-kdy-ma-smysl-2-cast\/","title":{"rendered":"Business Intelligence pro mal\u00e9 podniky - Kdy m\u00e1 smysl? - \u010c\u00c1ST 2"},"content":{"rendered":"<p>Kdo zn\u00e1 budoucnost, m\u00e1 n\u00e1skok! P\u0159e\u010dt\u011bte si v na\u0161em t\u0159\u00edd\u00edln\u00e9m \u010dl\u00e1nku, pro\u010d je Business Intelligence d\u016fle\u017eit\u00e1 zejm\u00e9na pro mal\u00e9 a st\u0159edn\u00ed podniky (MSP), jak n\u00e1ro\u010dn\u00fd je vlastn\u011b prvn\u00ed krok, ale jak\u00e9 jsou tak\u00e9 z\u00e1sadn\u00ed v\u00fdhody a jak m\u016f\u017eete k cel\u00e9mu t\u00e9matu p\u0159istupovat efektivn\u011b. T\u011bmito 3 zaj\u00edmav\u00fdmi d\u00edly s\u00e9rie \u010dl\u00e1nk\u016f v\u00e1s sv\u00fdmi zku\u0161enostmi a odborn\u00fdmi znalostmi provedou odborn\u00edk na controlling a \u0159\u00edzen\u00ed mal\u00fdch a st\u0159edn\u00edch podnik\u016f Andreas Malik a specialist\u00e9 na business intelligence a zakladatel\u00e9 jednoho z p\u0159edn\u00edch poskytovatel\u016f vizualizac\u00ed dat a dashboard\u016f v oblasti Power BI a Qlik Sense Stefan Preusler a Dominik Galsheimer. V prvn\u00ed \u010d\u00e1sti se pod\u00edv\u00e1me na to, pro\u010d se Business Intelligence a mal\u00e9 a st\u0159edn\u00ed podniky dob\u0159e dopl\u0148uj\u00ed. Druh\u00e1 \u010d\u00e1st se zab\u00fdv\u00e1 jasn\u00fdm ur\u010den\u00edm v\u00fdhod, a tedy nalezen\u00edm spr\u00e1vn\u00e9ho okam\u017eiku pro jej\u00ed spu\u0161t\u011bn\u00ed. T\u0159et\u00ed \u010d\u00e1st v\u00e1m pak uk\u00e1\u017ee d\u016fle\u017eit\u00e9 prvn\u00ed kroky pro implementaci a zaveden\u00ed<\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<p><strong>\u010c\u00e1st 2: Nalezen\u00ed spr\u00e1vn\u00e9ho \u010dasu a rozpozn\u00e1n\u00ed v\u00fdhod<\/strong><\/p>\n\n\n\n<p>Ve v\u011bt\u0161in\u011b p\u0159\u00edpad\u016f nen\u00ed snadn\u00e9 ur\u010dit spr\u00e1vn\u00fd okam\u017eik p\u0159echodu na syst\u00e9m BI. Mus\u00edme p\u0159iznat, \u017ee kompletn\u00ed reporting v Excelu byl vybudov\u00e1n s velk\u00fdm \u00fasil\u00edm p\u0159i pe\u010dliv\u00e9 pr\u00e1ci na detailech a je neust\u00e1le p\u0159izp\u016fsobov\u00e1n aktu\u00e1ln\u00edm pot\u0159eb\u00e1m. V n\u011bkter\u00fdch p\u0159\u00edpadech se na p\u0159izp\u016fsoben\u00ed pod\u00edl\u00ed mnoho r\u016fzn\u00fdch lid\u00ed, st\u00e1\u017eist\u016f nebo brig\u00e1dn\u00edk\u016f, kte\u0159\u00ed p\u0159in\u00e1\u0161ej\u00ed p\u0159\u00edslu\u0161n\u00e9 know-how Excelu. Zku\u0161enosti ukazuj\u00ed, \u017ee n\u00e1sleduj\u00edc\u00ed v\u00fdroky jsou zn\u00e1mkou toho, \u017ee Excel nar\u00e1\u017e\u00ed na sv\u00e9 limity:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Soubory aplikace Excel se st\u00e1le zv\u011bt\u0161uj\u00ed a slou\u017e\u00ed jako datov\u00e1 z\u00e1kladna.<\/li><li>\u010casto se rozb\u00edjej\u00ed a st\u00e1vaj\u00ed se velmi t\u011b\u017ekop\u00e1dn\u00fdmi.<\/li><li>Obvykle jsou k dost\u00e1n\u00ed pouze na m\u00edst\u011b. Zpr\u00e1vy se tisknou nebo zas\u00edlaj\u00ed po\u0161tou. \"Pravda\" existuje v mnoha struktur\u00e1ch slo\u017eek, po\u0161tovn\u00edch schr\u00e1nk\u00e1ch, fyzick\u00fdch kartot\u00e9k\u00e1ch a z\u00e1suvk\u00e1ch.<\/li><li>Zm\u011bny vy\u017eaduj\u00ed st\u00e1le v\u011bt\u0161\u00ed \u00fasil\u00ed a jejich realizace trv\u00e1 dlouho.<\/li><li>Data se st\u00e1le \u010dast\u011bji p\u0159en\u00e1\u0161ej\u00ed ru\u010dn\u011b z jednoho souboru aplikace Excel do druh\u00e9ho.<\/li><li>St\u00e1le \u010dast\u011bji se objevuj\u00ed nesrovnalosti mezi hl\u00e1\u0161en\u00edmi \/ ud\u00e1lostmi a zvy\u0161uje se \u00fasil\u00ed o kontrolu ofici\u00e1ln\u00edch hl\u00e1\u0161en\u00ed a hodnot\u00edc\u00edch ud\u00e1lost\u00ed.<\/li><li>Krom\u011b managementu je st\u00e1le v\u00edce intern\u00edch p\u0159\u00edjemc\u016f zpr\u00e1v s individu\u00e1ln\u00edmi po\u017eadavky na zpr\u00e1vy.<\/li><li>Pokud je v\u00fdkaznictv\u00ed decentralizovan\u00e9, nap\u0159. na produktov\u00e9 nebo prodejn\u00ed oblasti, doch\u00e1z\u00ed k dal\u0161\u00edm nesrovnalostem a v n\u011bkter\u00fdch p\u0159\u00edpadech jsou vykazov\u00e1ny odli\u0161n\u00e9 \u00fadaje.<\/li><li>Krom\u011b intern\u00edch zainteresovan\u00fdch stran se st\u00e1le \u010dast\u011bji objevuj\u00ed tak\u00e9 extern\u00ed zainteresovan\u00e9 strany, kter\u00e9 trvaj\u00ed na pr\u00e1vn\u00edch struktur\u00e1ch (taxonomi\u00edch), kter\u00e9 se obvykle velmi li\u0161\u00ed od intern\u00edch struktur.<\/li><li>St\u00e1le \u010dast\u011bji jsou po\u017eadov\u00e1ny ad hoc anal\u00fdzy podrobnost\u00ed. Datov\u00e9 struktury se neshoduj\u00ed a je t\u0159eba je zpracovat a srovnat s velk\u00fdm \u00fasil\u00edm.<\/li><li>Finan\u010dn\u00ed \u00fadaje mus\u00ed b\u00fdt st\u00e1le \u010dast\u011bji vysv\u011btlov\u00e1ny provozn\u00edmi \u00fadaji, nap\u0159. vlivem sortimentu, trhu a z\u00e1kazn\u00edk\u016f, mar\u017e\u00ed, odchylkami ve v\u00fdrob\u011b atd.<\/li><li>Pro souhrnnou prezentaci vz\u00e1jemn\u00fdch vztah\u016f ji\u017e nesta\u010d\u00ed tabulkov\u00e9 struktury. V\u00fdsledkem jsou \"h\u0159bitovy \u010d\u00edsel\".<\/li><li>Data a vz\u00e1jemn\u00e9 vztahy je t\u0159eba st\u00e1le \u010dast\u011bji vysv\u011btlovat pomoc\u00ed n\u011bkolika dimenz\u00ed, nap\u0159. produkt\u016f, z\u00e1kazn\u00edk\u016f, pobo\u010dek, region\u016f, obchodn\u00edch jednotek, v\u00fdrobn\u00edch z\u00e1vod\u016f atd.<\/li><\/ul>\n\n\n\n<p><strong>Jak\u00e9 v\u00fdhody nab\u00edzej\u00ed \u0159e\u0161en\u00ed BI?<\/strong><\/p>\n\n\n\n<p>Kdy\u017e se spole\u010dnosti st\u00e1le \u010dast\u011bji pot\u00fdkaj\u00ed s v\u00fd\u0161e uveden\u00fdmi probl\u00e9my, zva\u017euj\u00ed zaveden\u00ed syst\u00e9mu BI. V\u00fdhody syst\u00e9mu BI pro mal\u00e9 a st\u0159edn\u00ed podniky lze shrnout n\u00e1sledovn\u011b:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Jednotn\u00fd a komplexn\u00ed datov\u00fd z\u00e1klad lze pou\u017e\u00edt kdykoli (z\u00e1kladem jsou finan\u010dn\u00ed a nefinan\u010dn\u00ed \u00fadaje).<\/li><li>Ve v\u0161ech zpr\u00e1v\u00e1ch se pou\u017e\u00edvaj\u00ed jednotn\u00e9 a integrovan\u00e9 datov\u00e9 struktury.<\/li><li>Standardizovan\u00e9 vizualizace d\u00e1vaj\u00ed tv\u016frc\u016fm sestav mo\u017enost vytv\u00e1\u0159et a prezentovat slo\u017eit\u00e9 vztahy velmi efektivn\u00edm a integrovan\u00fdm zp\u016fsobem.<\/li><li>Jednotn\u00e1 distribuce informac\u00ed p\u0159ev\u00e1\u017en\u011b online a dostupn\u00e1 na v\u0161ech za\u0159\u00edzen\u00edch v responzivn\u00ed form\u011b. U\u017eivatel\u00e9 mohou individu\u00e1ln\u011b vyhled\u00e1vat a kontrolovat informa\u010dn\u00ed pot\u0159eby v reaktivn\u00edm rozhran\u00ed, nap\u0159. prost\u0159ednictv\u00edm filtr\u016f nebo drill-down nebo dal\u0161\u00edho p\u0159\u00edstupu k dal\u0161\u00edm propojen\u00fdm dat\u016fm.<\/li><\/ul>\n\n\n\n<p>Sni\u017euje se zejm\u00e9na zv\u00fd\u0161en\u00e1 manu\u00e1ln\u00ed pr\u00e1ce p\u0159i vytv\u00e1\u0159en\u00ed, oprav\u00e1ch a ov\u011b\u0159ov\u00e1n\u00ed. Krom\u011b toho se nab\u00edzej\u00ed funkce, kter\u00e9 mimo\u0159\u00e1dn\u011b usnad\u0148uj\u00ed spln\u011bn\u00ed zv\u00fd\u0161en\u00fdch po\u017eadavk\u016f.<\/p>\n\n\n\n<p>Z\u00e1kladn\u00ed c\u00edl syst\u00e9mu BI by nem\u011bl ustoupit ze st\u0159edu z\u00e1jmu, kter\u00fdm je podpora rozhodov\u00e1n\u00ed a z\u00edsk\u00e1v\u00e1n\u00ed poznatk\u016f z dat. Syst\u00e9m BI je u\u017eite\u010dn\u00fd, pokud firmu zbav\u00ed manu\u00e1ln\u00edch \u010dinnost\u00ed. \u010cinnost\u00ed nejen p\u0159i vytv\u00e1\u0159en\u00ed vhled\u016f, ale i p\u0159i jejich interpretaci a tak\u00e9 p\u0159i odvozov\u00e1n\u00ed rozhodnut\u00ed. Toho se v\u011bt\u0161inou dos\u00e1hne, kdy\u017e se zobraz\u00ed korelace nebo z\u00e1vislosti, kter\u00e9 by jinak musel vytvo\u0159it s\u00e1m lidsk\u00fd rozum a mozek. Zejm\u00e9na p\u0159i zpracov\u00e1n\u00ed velk\u00e9ho mno\u017estv\u00ed informac\u00ed nar\u00e1\u017e\u00ed lidsk\u00fd mozek na limity, kter\u00e9 u technick\u00e9ho syst\u00e9mu zpo\u010d\u00e1tku neexistuj\u00ed.<\/p>\n\n\n\n<p>Ve t\u0159et\u00ed \u010d\u00e1sti se do\u010dtete, jak spr\u00e1vn\u011b strukturovat t\u00e9ma BI a jak\u00e9 mohou b\u00fdt prvn\u00ed konkr\u00e9tn\u00ed kroky pro va\u0161i spole\u010dnost. <\/p>\n\n\n\n<p>V p\u0159\u00edpad\u011b dal\u0161\u00edch dotaz\u016f jsme v\u00e1m k dispozici:<\/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>Kdo zn\u00e1 budoucnost, m\u00e1 n\u00e1skok! P\u0159e\u010dt\u011bte si v na\u0161em t\u0159\u00edd\u00edln\u00e9m \u010dl\u00e1nku, pro\u010d je Business Intelligence d\u016fle\u017eit\u00e1 zejm\u00e9na pro mal\u00e9 a st\u0159edn\u00ed podniky (MSP), jak n\u00e1ro\u010dn\u00fd je vlastn\u011b prvn\u00ed krok, ale jak\u00e9 jsou tak\u00e9 z\u00e1sadn\u00ed v\u00fdhody a jak m\u016f\u017eete k cel\u00e9mu t\u00e9matu p\u0159istupovat efektivn\u011b. Odborn\u00edk mal\u00fdch a st\u0159edn\u00edch podnik\u016f 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\/cs\/wp-json\/wp\/v2\/posts\/8629","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/comments?post=8629"}],"version-history":[{"count":0,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/posts\/8629\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/media\/8480"}],"wp:attachment":[{"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/media?parent=8629"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/categories?post=8629"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/tags?post=8629"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}