{"id":13943,"date":"2025-09-30T17:18:00","date_gmt":"2025-09-30T15:18:00","guid":{"rendered":"https:\/\/www.leaplytics.de\/?p=13943"},"modified":"2025-09-30T18:24:50","modified_gmt":"2025-09-30T16:24:50","slug":"od-udajov-k-prognozam-s-vyuzitim-power-bi-na-inteligentnejsie-riadenie-rizik","status":"publish","type":"post","link":"https:\/\/www.leaplytics.de\/sk\/od-udajov-k-prognozam-s-vyuzitim-power-bi-na-inteligentnejsie-riadenie-rizik\/","title":{"rendered":"Od \u00fadajov k progn\u00f3zam: Vyu\u017eitie Power BI na inteligentnej\u0161ie riadenie riz\u00edk"},"content":{"rendered":"<div class=\"blog-post\">\n<p>Riadenie riz\u00edk bez \u00fadajov je len odhad. A dohady zab\u00edjaj\u00fa projekty.<\/p>\n<p>Videli sme, ako spolo\u010dnosti sp\u00e1lili mili\u00f3ny, preto\u017ee nedok\u00e1zali predv\u00edda\u0165 prich\u00e1dzaj\u00face probl\u00e9my. Varovn\u00e9 sign\u00e1ly tam boli. \u00dadaje existovali. Ale nikto si to nespojil, k\u00fdm nebolo neskoro.<\/p>\n<p>Power BI t\u00fato hru men\u00ed. Z va\u0161ich roztr\u00fasen\u00fdch \u00fadajov o rizik\u00e1ch urob\u00ed kri\u0161t\u00e1\u013eov\u00fa gu\u013eu pre va\u0161e projekty. \u017diadna m\u00e1gia - len inteligentn\u00e9 vyu\u017eitie inform\u00e1ci\u00ed, ktor\u00e9 u\u017e m\u00e1te.<\/p>\n<p>Tu sa dozviete, ako pom\u00e1hame organiz\u00e1ci\u00e1m prejs\u0165 od reakt\u00edvneho hasenia po\u017eiarov k predikt\u00edvnemu riadeniu riz\u00edk.<\/p>\n<h2>Pre\u010do tradi\u010dn\u00e9 riadenie riz\u00edk zlyh\u00e1va<\/h2>\n<p>V\u00e4\u010d\u0161ina riadenia riz\u00edk je divadlo. Pekn\u00e9 tabu\u013eky s \u010dervenou, \u017eltou a zelenou farbou. Mesa\u010dn\u00e9 stretnutia, na ktor\u00fdch v\u0161etci prikyvuj\u00fa a hovoria \"monitorujeme situ\u00e1ciu\".<\/p>\n<p>Probl\u00e9m? V\u00e1\u0161 register riz\u00edk je statick\u00fd dokument. Va\u0161e projektov\u00e9 \u00fadaje s\u00fa v inom syst\u00e9me. Va\u0161e finan\u010dn\u00e9 \u00fadaje sa skr\u00fdvaj\u00fa v \u00fa\u010dtovnom softv\u00e9ri. Ni\u010d sa s ni\u010d\u00edm in\u00fdm nesp\u00e1ja.<\/p>\n<p>Ke\u010f sa riziko napln\u00ed, sna\u017e\u00edte sa pochopi\u0165, \u010do sa stalo. Vyber\u00e1te spr\u00e1vy z piatich r\u00f4znych zdrojov. K\u00fdm z\u00edskate odpovede, \u0161koda je u\u017e odstr\u00e1nen\u00e1.<\/p>\n<p>Tento vzorec vid\u00edme v\u0161ade:<\/p>\n<ul>\n<li>Prekro\u010denie rozpo\u010dtu, ktor\u00e9 sa \"zjavilo z ni\u010doho ni\u010d\" - okrem \u00fadajov o v\u00fddavkoch, ktor\u00e9 ukazovali trend u\u017e tri mesiace predt\u00fdm<\/li>\n<li>Nedostatok zdrojov, ktor\u00fd sa \"nedal predv\u00edda\u0165\" - zatia\u013e \u010do spr\u00e1vy o vyu\u017eit\u00ed kri\u010dali varovania<\/li>\n<li>Probl\u00e9my s kvalitou, ktor\u00e9 sa \"n\u00e1hle objavili\" - hoci po\u010det ch\u00fdb st\u00fapal u\u017e nieko\u013eko t\u00fd\u017ed\u0148ov<\/li>\n<\/ul>\n<p>\u00dadaje boli k dispoz\u00edcii. Vidite\u013enos\u0165 nebola.<\/p>\n<h2>Power BI ako platforma na anal\u00fdzu riz\u00edk<\/h2>\n<p><a href=\"\/sk\/titulna-stranka\/riadenie-projektov-vlastne-vizualizacie-microsoft-powerbi\/vlastny-vizual-mapy-rizik-pre-power-bi\/\">Power BI nevytv\u00e1ra len pekn\u00e9 grafy<\/a>. Sp\u00e1ja va\u0161e rizikov\u00e9 body sk\u00f4r, ako sa stan\u00fa rizikov\u00fdmi expl\u00f3ziami.<\/p>\n<p>Pova\u017eujte ho za svoje riadiace centrum riz\u00edk. Ka\u017ed\u00fd d\u00f4le\u017eit\u00fd zdroj \u00fadajov sa zhroma\u017e\u010fuje na jednom mieste. N\u00e1stroje na riadenie projektov, finan\u010dn\u00e9 syst\u00e9my, datab\u00e1zy \u013eudsk\u00fdch zdrojov, metriky kvality - v\u0161etky hovoria rovnak\u00fdm jazykom.<\/p>\n<p>Vytv\u00e1rame informa\u010dn\u00e9 panely, ktor\u00e9 v\u00e1m uk\u00e1\u017eu tri veci:<\/p>\n<ul>\n<li><strong>\u010co sa deje teraz<\/strong> - Stav projektu v re\u00e1lnom \u010dase vo v\u0161etk\u00fdch va\u0161ich iniciat\u00edvach<\/li>\n<li><strong>Ak\u00e9 vzory sa objavuj\u00fa<\/strong> - Trendy, ktor\u00e9 predpovedaj\u00fa probl\u00e9my sk\u00f4r, ako nastan\u00fa<\/li>\n<li><strong>Ak\u00e9 opatrenia treba prija\u0165<\/strong> - Jasn\u00e9 \u010fal\u0161ie kroky na z\u00e1klade \u00fadajov<\/li>\n<\/ul>\n<p>K\u00fazlo nastane, ke\u010f sa prestanete pozera\u0165 na izolovan\u00e9 ukazovatele a za\u010dnete vidie\u0165 s\u00favislosti. Rozdiel v rozpo\u010dte plus vyu\u017eitie zdrojov plus tlak na \u010dasov\u00fd pl\u00e1n sa rovn\u00e1 projektu, ktor\u00fd je na spadnutie.<\/p>\n<p>Power BI tieto prepojenia zvidite\u013e\u0148uje. A vidite\u013enos\u0165 vytv\u00e1ra mo\u017enosti.<\/p>\n<h2>Budovanie syst\u00e9mu na zis\u0165ovanie riz\u00edk<\/h2>\n<p>Nevytv\u00e1rame informa\u010dn\u00e9 panely. Budujeme syst\u00e9my v\u010dasn\u00e9ho varovania.<\/p>\n<p>Za\u010dnite s najv\u00e4\u010d\u0161\u00edmi boles\u0165ami. Ak\u00e9 rizik\u00e1 v\u00e1s najviac bolia? V\u00fdpadky rozpo\u010dtu? Oneskorenie harmonogramu? Konflikty so zdrojmi? Zlyhania v oblasti kvality?<\/p>\n<p>Pre ka\u017ed\u00fa hlavn\u00fa kateg\u00f3riu rizika identifikujte hlavn\u00e9 ukazovatele. Nie tie zjavn\u00e9 - jemn\u00e9 sign\u00e1ly, ktor\u00e9 sa objavuj\u00fa nieko\u013eko t\u00fd\u017ed\u0148ov pred kr\u00edzou.<\/p>\n<p><strong>Ukazovatele rozpo\u010dtov\u00fdch riz\u00edk:<\/strong><\/p>\n<ul>\n<li>R\u00fdchlos\u0165 skuto\u010dn\u00fdch a pl\u00e1novan\u00fdch v\u00fddavkov<\/li>\n<li>Frekvencia a hodnota \u017eiadosti o zmenu<\/li>\n<li>Oneskorenie platieb dod\u00e1vate\u013eom<\/li>\n<li>\u010cas schv\u00e1lenia n\u00e1kupnej objedn\u00e1vky<\/li>\n<\/ul>\n<p><strong>Rizikov\u00e9 ukazovatele harmonogramu:<\/strong><\/p>\n<ul>\n<li>Miera dokon\u010denia \u00falohy v porovnan\u00ed s v\u00fdchodiskovou hodnotou<\/li>\n<li>Spotreba vyrovn\u00e1vacej pam\u00e4te kritickej cesty<\/li>\n<li>Predpovede dostupnosti zdrojov<\/li>\n<li>Oneskorenie ukon\u010denia z\u00e1vislosti<\/li>\n<\/ul>\n<p><strong>Ukazovatele rizika kvality:<\/strong><\/p>\n<ul>\n<li>Miera odhalenia ch\u00fdb pod\u013ea f\u00e1zy<\/li>\n<li>Percentu\u00e1lne podiely prepracovania<\/li>\n<li>Testovanie medzier v pokryt\u00ed<\/li>\n<li>Trendy n\u00e1lad klientov<\/li>\n<\/ul>\n<p>Tieto ukazovatele prepoj\u00edme s automatick\u00fdmi upozorneniami. Ke\u010f sa vzorce posun\u00fa mimo be\u017en\u00e9ho rozsahu, okam\u017eite sa upozornia spr\u00e1vni \u013eudia. Nie na sch\u00f4dzke o hodnoten\u00ed riz\u00edk bud\u00faci mesiac. Teraz.<\/p>\n<h2>Premena poznatkov na \u010diny<\/h2>\n<p>\u00dadaje bez akcie s\u00fa len drahou z\u00e1bavou.<\/p>\n<p>Na\u0161e rie\u0161enia Power BI navrhujeme na z\u00e1klade rozhodovac\u00edch bodov, nie len d\u00e1tov\u00fdch bodov. Ka\u017ed\u00fd pr\u00edstrojov\u00fd panel odpoved\u00e1 na konkr\u00e9tne ot\u00e1zky, ktor\u00e9 ved\u00fa ku konkr\u00e9tnym \u010dinnostiam.<\/p>\n<p><strong>Ot\u00e1zky t\u00fdkaj\u00face sa riadiaceho panelu:<\/strong><\/p>\n<ul>\n<li>Ktor\u00fdm projektom je potrebn\u00e9 venova\u0165 okam\u017eit\u00fa pozornos\u0165?<\/li>\n<li>Kam by sme mali prerozdeli\u0165 zdroje?<\/li>\n<li>Ak\u00e9 rizik\u00e1 ohrozuj\u00fa na\u0161e strategick\u00e9 ciele?<\/li>\n<\/ul>\n<p><strong>Ot\u00e1zky pre projektov\u00e9ho mana\u017e\u00e9ra:<\/strong><\/p>\n<ul>\n<li>Ktor\u00e9 \u00falohy zaost\u00e1vaj\u00fa?<\/li>\n<li>Ktor\u00ed \u010dlenovia t\u00edmu s\u00fa pre\u0165a\u017een\u00ed?<\/li>\n<li>Kde sa objavuj\u00fa probl\u00e9my s kvalitou?<\/li>\n<\/ul>\n<p><strong>Ot\u00e1zky t\u00fdkaj\u00face sa n\u00e1stroja Risk Manager:<\/strong><\/p>\n<ul>\n<li>Ktor\u00e9 rizikov\u00e9 scen\u00e1re s\u00fa \u010doraz pravdepodobnej\u0161ie?<\/li>\n<li>Ak\u00e9 strat\u00e9gie na zmiernenie dopadov s\u00fa \u00fa\u010dinn\u00e9?<\/li>\n<li>Kde potrebujeme nov\u00e9 kontroly riz\u00edk?<\/li>\n<\/ul>\n<p>Ka\u017ed\u00fd ovl\u00e1dac\u00ed panel obsahuje odpor\u00fa\u010dan\u00e9 opatrenia zalo\u017een\u00e9 na vzoroch \u00fadajov. \u017diadne h\u00e1danie, \u010do robi\u0165 \u010falej. \u017diadna analytick\u00e1 paral\u00fdza.<\/p>\n<p>Vytv\u00e1rame aj mo\u017enosti modelovania scen\u00e1rov. \"\u010co sa stane s na\u0161\u00edm \u010dasov\u00fdm pl\u00e1nom, ak pr\u00eddeme o tento k\u013e\u00fa\u010dov\u00fd zdroj?\" \"Ako ovplyvn\u00ed zn\u00ed\u017eenie rozpo\u010dtu 20% na\u0161e v\u00fdsledky?\" Odpovedzte na tieto ot\u00e1zky sk\u00f4r, ako sa stan\u00fa skuto\u010dnos\u0165ou.<\/p>\n<h2>\u00daspech riadenia riz\u00edk v re\u00e1lnom svete<\/h2>\n<p>Jedn\u00e9mu klientovi z v\u00fdrobn\u00e9ho odvetvia ch\u00fdbali peniaze na stavebn\u00e9 projekty. Prekro\u010denie rozpo\u010dtu bolo v priemere 30%. Oneskorenia harmonogramu boli be\u017en\u00e9.<\/p>\n<p>Prepojili sme ich \u00fadaje o riaden\u00ed projektov, syst\u00e9my obstar\u00e1vania a finan\u010dn\u00e9 v\u00fdkazy v Power BI. Vzorce boli okam\u017eite zrejm\u00e9.<\/p>\n<p>Zv\u00fd\u0161enie materi\u00e1lov\u00fdch n\u00e1kladov sa zaznamen\u00e1valo a\u017e pri mesa\u010dn\u00fdch rev\u00edzi\u00e1ch rozpo\u010dtu. Vtedy u\u017e boli vystaven\u00e9 objedn\u00e1vky na n\u00e1kup za nadhodnoten\u00e9 ceny. Objedn\u00e1vky na zmeny sa nevyhodnocovali na z\u00e1klade celkov\u00e9ho vplyvu projektu - len na z\u00e1klade vplyvu jednotliv\u00fdch \u00faloh.<\/p>\n<p>Konflikty zdrojov medzi projektmi neboli vidite\u013en\u00e9, k\u00fdm \u013eudia nepri\u0161li do pr\u00e1ce.<\/p>\n<p>Rie\u0161enie Power BI vytvorilo preh\u013ead o t\u00fdchto vz\u00e1jomne prepojen\u00fdch rizik\u00e1ch v re\u00e1lnom \u010dase. Upozornenia na n\u00e1klady na materi\u00e1l spustili okam\u017eit\u00e9 presk\u00famanie obstar\u00e1vania. Vplyv zmenov\u00fdch objedn\u00e1vok sa vyhodnocoval na z\u00e1klade obmedzen\u00ed portf\u00f3lia, nielen jednotliv\u00fdch projektov.<\/p>\n<p>Pride\u013eovanie zdrojov uk\u00e1zalo konflikty nieko\u013eko t\u00fd\u017ed\u0148ov vopred, \u010do umo\u017enilo proakt\u00edvne \u00fapravy pl\u00e1novania.<\/p>\n<p>V\u00fdsledky po \u0161iestich mesiacoch: Prekro\u010denie rozpo\u010dtu kleslo na 8%. Plnenie harmonogramu sa zlep\u0161ilo o 40%. A \u010do je e\u0161te d\u00f4le\u017eitej\u0161ie, prestali ich prekvapova\u0165 probl\u00e9my.<\/p>\n<p>Spolo\u010dnos\u0165 zaoberaj\u00faca sa v\u00fdvojom softv\u00e9ru pou\u017eila podobn\u00e9 pr\u00edstupy na riadenie riz\u00edk v oblasti kvality. Namiesto h\u013eadania ch\u00fdb pri pou\u017e\u00edvate\u013eskom akcepta\u010dnom testovan\u00ed identifikovali modely zhor\u0161enia kvality po\u010das v\u00fdvoja.<\/p>\n<p>Miera zamietnutia rev\u00edzie k\u00f3du, trendy pokrytia jednotkov\u00fdch testov a frekvencia zlyhan\u00ed zostavenia predpovedali probl\u00e9my s kvalitou o tri \u0161printy sk\u00f4r. To im poskytlo \u010das na \u00fapravu procesov pred dodan\u00edm nefunk\u010dn\u00e9ho softv\u00e9ru.<\/p>\n<p>V\u00fdsledky spokojnosti z\u00e1kazn\u00edkov sa zlep\u0161ili 25%, preto\u017ee do v\u00fdroby sa dostalo menej ch\u00fdb.<\/p>\n<h2>Strat\u00e9gia implement\u00e1cie, ktor\u00e1 skuto\u010dne funguje<\/h2>\n<p>Nesna\u017ete sa vyrie\u0161i\u0165 v\u0161etky rizikov\u00e9 probl\u00e9my hne\u010f prv\u00fd de\u0148. To je recept na drah\u00e9 zlyhanie.<\/p>\n<p>Uplat\u0148ujeme cielen\u00fd pr\u00edstup:<\/p>\n<p><strong>F\u00e1za 1: Vyberte si jeden ve\u013ek\u00fd probl\u00e9m<\/strong><br \/>Vyberte si najdrah\u0161ie alebo naj\u010dastej\u0161ie riziko. Vytvorte mo\u017enosti detekcie a reakcie na tento jedin\u00fd probl\u00e9m. Sk\u00f4r ako prid\u00e1te zlo\u017eitos\u0165, zabezpe\u010dte jej dokonal\u00e9 fungovanie.<\/p>\n<p><strong>F\u00e1za 2: Pripojenie s\u00favisiacich zdrojov \u00fadajov<\/strong><br \/>Ke\u010f v\u00e1\u0161 z\u00e1kladn\u00fd syst\u00e9m funguje, pridajte zdroje \u00fadajov, ktor\u00e9 poskytuj\u00fa \u010fal\u0161\u00ed kontext. Finan\u010dn\u00e9 \u00fadaje pre rozpo\u010dtov\u00e9 rizik\u00e1. \u00dadaje o zdrojoch pre rizik\u00e1 s\u00favisiace s harmonogramom. Sp\u00e4tn\u00e1 v\u00e4zba od klienta pre rizik\u00e1 kvality.<\/p>\n<p><strong>F\u00e1za 3: Roz\u0161\u00edrenie na s\u00favisiace rizik\u00e1<\/strong><br \/>Pou\u017eite svoj osved\u010den\u00fd r\u00e1mec na rie\u0161enie \u010fal\u0161ej kateg\u00f3rie najv\u00e4\u010d\u0161\u00edch riz\u00edk. Budete postupova\u0165 r\u00fdchlej\u0161ie, preto\u017ee infra\u0161trukt\u00fara existuje.<\/p>\n<p><strong>F\u00e1za 4: Vytvorenie predikt\u00edvnych modelov<\/strong><br \/>Na z\u00e1klade historick\u00fdch \u00fadajov vypracujte predikt\u00edvnu anal\u00fdzu. Modely strojov\u00e9ho u\u010denia, ktor\u00e9 predpovedaj\u00fa pravdepodobnos\u0165 rizika na z\u00e1klade aktu\u00e1lnych podmienok.<\/p>\n<p>\u00dapln\u00e1 implement\u00e1cia tohto pr\u00edstupu trv\u00e1 6-12 mesiacov. Ale v\u00fdsledky f\u00e1zy 1 s\u00fa vidite\u013en\u00e9 u\u017e v priebehu nieko\u013ek\u00fdch t\u00fd\u017ed\u0148ov.<\/p>\n<p>Popri technickej implement\u00e1cii trv\u00e1me aj na riaden\u00ed zmien. Najlep\u0161\u00ed pr\u00edstrojov\u00fd panel na svete zlyh\u00e1, ak ho \u013eudia nepou\u017e\u00edvaj\u00fa. \u0160kolenia, integr\u00e1cia procesov a kult\u00farne prijatie s\u00fa rovnako d\u00f4le\u017eit\u00e9 ako d\u00e1tov\u00e9 prepojenia.<\/p>\n<h2>Meranie n\u00e1vratnosti invest\u00edci\u00ed do riadenia riz\u00edk<\/h2>\n<p>Dobr\u00e9 riadenie riz\u00edk \u0161etr\u00ed peniaze. Skvel\u00e9 riadenie riz\u00edk prin\u00e1\u0161a peniaze.<\/p>\n<p>Sledujeme konkr\u00e9tne ukazovatele, ktor\u00e9 dokazuj\u00fa vplyv Power BI na riadenie riz\u00edk:<\/p>\n<p><strong>Priame \u00faspory n\u00e1kladov:<\/strong><\/p>\n<ul>\n<li>Zn\u00ed\u017eenie prekro\u010denia rozpo\u010dtu<\/li>\n<li>Men\u0161\u00ed po\u010det n\u00fadzov\u00fdch pr\u00edrastkov zdrojov<\/li>\n<li>Ni\u017e\u0161ie n\u00e1klady na prepracovanie a kvalitu<\/li>\n<li>Zn\u00ed\u017een\u00e1 miera zru\u0161enia projektu<\/li>\n<\/ul>\n<p><strong>Nepriama tvorba hodnoty:<\/strong><\/p>\n<ul>\n<li>Zv\u00fd\u0161en\u00e1 spokojnos\u0165 klientov<\/li>\n<li>Zv\u00fd\u0161en\u00e1 produktivita t\u00edmu<\/li>\n<li>Lep\u0161ie vyu\u017e\u00edvanie zdrojov<\/li>\n<li>R\u00fdchlej\u0161ia realiz\u00e1cia projektu<\/li>\n<\/ul>\n<p><strong>Zlep\u0161enie reakcie na rizik\u00e1:<\/strong><\/p>\n<ul>\n<li>Skor\u0161ie odhalenie probl\u00e9mu<\/li>\n<li>R\u00fdchlej\u0161ie rozhodovanie<\/li>\n<li>Presnej\u0161ie pos\u00fadenie vplyvu<\/li>\n<li>Lep\u0161ia \u00fa\u010dinnos\u0165 zmier\u0148ovania<\/li>\n<\/ul>\n<p>V\u00e4\u010d\u0161ina organiz\u00e1ci\u00ed vid\u00ed 3-5-n\u00e1sobn\u00fa n\u00e1vratnos\u0165 invest\u00edci\u00ed v priebehu prv\u00e9ho roka. \u00daspory sa \u010dasom zn\u00e1sobuj\u00fa, preto\u017ee schopnosti riadenia riz\u00edk sa zdokona\u013euj\u00fa.<\/p>\n<p>A \u010do je e\u0161te d\u00f4le\u017eitej\u0161ie, v noci sa v\u00e1m bude lep\u0161ie spa\u0165. U\u017e \u017eiadne nepr\u00edjemn\u00e9 prekvapenia na pondelkov\u00fdch rann\u00fdch stretnutiach. U\u017e \u017eiadne vysvet\u013eovanie ved\u00facim pracovn\u00edkom, pre\u010do projekty zlyhali bez varovania.<\/p>\n<p>Va\u0161e riadenie riz\u00edk sa stane proakt\u00edvnym namiesto reakt\u00edvneho. Probl\u00e9mom predch\u00e1dzate, namiesto toho, aby ste ich len dokumentovali.<\/p>\n<p>Power BI men\u00ed va\u0161e \u00fadaje na progn\u00f3zy. A predv\u00eddanie men\u00ed riadenie riz\u00edk z n\u00e1kladov\u00e9ho centra na konkuren\u010dn\u00fa v\u00fdhodu.<\/p>\n<p>Ot\u00e1zkou nie je, \u010di si m\u00f4\u017eete dovoli\u0165 zavies\u0165 lep\u0161ie riadenie riz\u00edk. Ot\u00e1zka znie, \u010di si m\u00f4\u017eete dovoli\u0165 to neurobi\u0165.<\/p>\n<p>Va\u0161i konkurenti u\u017e pou\u017e\u00edvaj\u00fa \u00fadaje na to, aby videli za roh. Dobiehanie v riaden\u00ed riz\u00edk je drah\u00e9. Vedenie v hre je ziskov\u00e9.<\/p>\n<\/div>\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Riadenie riz\u00edk bez \u00fadajov je len odhad. A dohady zab\u00edjaj\u00fa projekty. Videli sme, ako spolo\u010dnosti sp\u00e1lili mili\u00f3ny, preto\u017ee nedok\u00e1zali predv\u00edda\u0165 prich\u00e1dzaj\u00face probl\u00e9my. Varovn\u00e9 sign\u00e1ly tam boli. \u00dadaje existovali. Ale nikto si to nespojil, k\u00fdm nebolo neskoro. Power BI t\u00fato hru men\u00ed. Z va\u0161ich roztr\u00fasen\u00fdch \u00fadajov o rizik\u00e1ch urob\u00ed kri\u0161t\u00e1\u013eov\u00fa gu\u013eu pre ... <\/p>","protected":false},"author":2,"featured_media":13152,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-13943","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\/13943","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/comments?post=13943"}],"version-history":[{"count":3,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/posts\/13943\/revisions"}],"predecessor-version":[{"id":13961,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/posts\/13943\/revisions\/13961"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/media\/13152"}],"wp:attachment":[{"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/media?parent=13943"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/categories?post=13943"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.leaplytics.de\/sk\/wp-json\/wp\/v2\/tags?post=13943"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}