{"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-dat-k-predvidani-pomoci-power-bi-pro-chytrejsi-rizeni-rizik","status":"publish","type":"post","link":"https:\/\/www.leaplytics.de\/cs\/od-dat-k-predvidani-pomoci-power-bi-pro-chytrejsi-rizeni-rizik\/","title":{"rendered":"Od dat k progn\u00f3z\u00e1m: Vyu\u017eit\u00ed Power BI pro chyt\u0159ej\u0161\u00ed \u0159\u00edzen\u00ed rizik"},"content":{"rendered":"<div class=\"blog-post\">\n<p>\u0158\u00edzen\u00ed rizik bez dat je jen odhad. A dohady projekty ni\u010d\u00ed.<\/p>\n<p>Vid\u011bli jsme, jak spole\u010dnosti prod\u011bl\u00e1vaj\u00ed miliony, proto\u017ee nedok\u00e1zaly p\u0159edv\u00eddat p\u0159ich\u00e1zej\u00edc\u00ed probl\u00e9my. Varovn\u00e1 znamen\u00ed tu byla. Data existovala. Ale nikdo si je nespojil, dokud nebylo pozd\u011b.<\/p>\n<p>Power BI tuto hru m\u011bn\u00ed. Prom\u011bn\u00ed va\u0161e rozpt\u00fdlen\u00e1 data o rizic\u00edch v k\u0159i\u0161\u0165\u00e1lovou kouli pro va\u0161e projekty. \u017d\u00e1dn\u00e1 magie - jen chytr\u00e9 vyu\u017eit\u00ed informac\u00ed, kter\u00e9 u\u017e m\u00e1te k dispozici.<\/p>\n<p>Zde se dozv\u00edte, jak pom\u00e1h\u00e1me organizac\u00edm p\u0159ej\u00edt od reaktivn\u00edho ha\u0161en\u00ed po\u017e\u00e1r\u016f k prediktivn\u00edmu \u0159\u00edzen\u00ed rizik.<\/p>\n<h2>Pro\u010d tradi\u010dn\u00ed \u0159\u00edzen\u00ed rizik selh\u00e1v\u00e1<\/h2>\n<p>V\u011bt\u0161ina \u0159\u00edzen\u00ed rizik je divadlo. P\u011bkn\u00e9 tabulky s \u010dervenou, \u017elutou a zelenou barvou. M\u011bs\u00ed\u010dn\u00ed sch\u016fzky, na kter\u00fdch v\u0161ichni p\u0159ikyvuj\u00ed a \u0159\u00edkaj\u00ed \"monitorujeme situaci\".<\/p>\n<p>Probl\u00e9m? V\u00e1\u0161 registr rizik je statick\u00fd dokument. Va\u0161e projektov\u00e1 data jsou v jin\u00e9m syst\u00e9mu. Va\u0161e finan\u010dn\u00ed \u00fadaje se skr\u00fdvaj\u00ed v \u00fa\u010detn\u00edm softwaru. Nic nekomunikuje s ni\u010d\u00edm jin\u00fdm.<\/p>\n<p>Kdy\u017e se riziko projev\u00ed, sna\u017e\u00edte se pochopit, co se stalo. Vyt\u00e1hnete zpr\u00e1vy z p\u011bti r\u016fzn\u00fdch zdroj\u016f. Ne\u017e z\u00edsk\u00e1te odpov\u011bdi, je \u0161koda u\u017e nap\u00e1ch\u00e1na.<\/p>\n<p>Tento vzorec vid\u00edme v\u0161ude:<\/p>\n<ul>\n<li>P\u0159ekro\u010den\u00ed rozpo\u010dtu, kter\u00e9 \"p\u0159i\u0161lo z ni\u010deho nic\" - krom\u011b \u00fadaj\u016f o v\u00fddaj\u00edch, kter\u00e9 ukazovaly trend o t\u0159i m\u011bs\u00edce d\u0159\u00edve.<\/li>\n<li>Nedostatek zdroj\u016f, kter\u00fd \"nebylo mo\u017en\u00e9 p\u0159edv\u00eddat\" - zat\u00edmco zpr\u00e1vy o vyu\u017eit\u00ed k\u0159i\u010dely varov\u00e1n\u00ed.<\/li>\n<li>Probl\u00e9my s kvalitou, kter\u00e9 se \"n\u00e1hle objevily\", a\u010dkoli po\u010det z\u00e1vad stoupal ji\u017e n\u011bkolik t\u00fddn\u016f.<\/li>\n<\/ul>\n<p>\u00dadaje byly k dispozici. Viditelnost nebyla.<\/p>\n<h2>Power BI jako platforma pro anal\u00fdzu rizik<\/h2>\n<p><a href=\"\/cs\/titulni-stranka\/rizeni-projektu-vlastni-vizualizace-microsoft-powerbi\/vlastni-vizualni-mapa-rizik-pro-power-bi\/\">Power BI nevytv\u00e1\u0159\u00ed jen p\u011bkn\u00e9 grafy<\/a>. Spoj\u00ed va\u0161e rizikov\u00e9 body d\u0159\u00edve, ne\u017e se z nich stanou rizikov\u00e9 exploze.<\/p>\n<p>Pova\u017eujte ji za sv\u00e9 velitelsk\u00e9 centrum rizik. Ka\u017ed\u00fd d\u016fle\u017eit\u00fd zdroj dat se p\u0159en\u00e1\u0161\u00ed na jedno m\u00edsto. N\u00e1stroje pro \u0159\u00edzen\u00ed projekt\u016f, finan\u010dn\u00ed syst\u00e9my, datab\u00e1ze lidsk\u00fdch zdroj\u016f, metriky kvality - v\u0161echny mluv\u00ed stejn\u00fdm jazykem.<\/p>\n<p>Vytv\u00e1\u0159\u00edme \u0159\u00eddic\u00ed panely, kter\u00e9 v\u00e1m ukazuj\u00ed t\u0159i v\u011bci:<\/p>\n<ul>\n<li><strong>Co se d\u011bje nyn\u00ed<\/strong> - Stav projektu v re\u00e1ln\u00e9m \u010dase ve v\u0161ech va\u0161ich iniciativ\u00e1ch<\/li>\n<li><strong>Jak\u00e9 vzory se objevuj\u00ed<\/strong> - Trendy, kter\u00e9 p\u0159edpov\u00eddaj\u00ed probl\u00e9my d\u0159\u00edve, ne\u017e nastanou<\/li>\n<li><strong>Jak\u00e9 kroky je t\u0159eba podniknout<\/strong> - Jasn\u00e9 dal\u0161\u00ed kroky na z\u00e1klad\u011b \u00fadaj\u016f<\/li>\n<\/ul>\n<p>Kouzlo nastane, kdy\u017e se p\u0159estanete d\u00edvat na izolovan\u00e9 ukazatele a za\u010dnete vid\u011bt souvislosti. Rozd\u00edl v rozpo\u010dtu plus vyu\u017eit\u00ed zdroj\u016f plus tlak na \u010dasov\u00fd pl\u00e1n se rovn\u00e1 projektu, kter\u00fd je na spadnut\u00ed.<\/p>\n<p>Power BI tato spojen\u00ed zviditel\u0148uje. A viditelnost vytv\u00e1\u0159\u00ed mo\u017enosti.<\/p>\n<h2>Vytvo\u0159en\u00ed syst\u00e9mu detekce rizik<\/h2>\n<p>Nevytv\u00e1\u0159\u00edme p\u0159\u00edstrojov\u00e9 panely. Vytv\u00e1\u0159\u00edme syst\u00e9my v\u010dasn\u00e9ho varov\u00e1n\u00ed.<\/p>\n<p>Za\u010dn\u011bte s nejv\u011bt\u0161\u00edmi bolestmi. Jak\u00e1 rizika v\u00e1s nejv\u00edce bol\u00ed? V\u00fdpadky v rozpo\u010dtu? Zpo\u017ed\u011bn\u00ed harmonogramu? Konflikty se zdroji? Selh\u00e1n\u00ed kvality?<\/p>\n<p>Pro ka\u017edou hlavn\u00ed kategorii rizik ur\u010dete hlavn\u00ed ukazatele. Ne ty zjevn\u00e9 - jemn\u00e9 sign\u00e1ly, kter\u00e9 se objevuj\u00ed t\u00fddny p\u0159ed kriz\u00ed.<\/p>\n<p><strong>Ukazatele rozpo\u010dtov\u00fdch rizik:<\/strong><\/p>\n<ul>\n<li>Skute\u010dn\u00e1 vs. pl\u00e1novan\u00e1 rychlost v\u00fddaj\u016f<\/li>\n<li>\u010cetnost a hodnota po\u017eadavk\u016f na zm\u011bnu<\/li>\n<li>Zpo\u017ed\u011bn\u00ed plateb prodejc\u016fm<\/li>\n<li>Doba schv\u00e1len\u00ed n\u00e1kupn\u00ed objedn\u00e1vky<\/li>\n<\/ul>\n<p><strong>Ukazatele rizik harmonogramu:<\/strong><\/p>\n<ul>\n<li>M\u00edra dokon\u010den\u00ed \u00fakolu v porovn\u00e1n\u00ed s v\u00fdchoz\u00edm stavem<\/li>\n<li>Spot\u0159eba vyrovn\u00e1vac\u00ed pam\u011bti kritick\u00e9 cesty<\/li>\n<li>P\u0159edpov\u011bdi dostupnosti zdroj\u016f<\/li>\n<li>Zpo\u017ed\u011bn\u00ed dokon\u010den\u00ed z\u00e1vislost\u00ed<\/li>\n<\/ul>\n<p><strong>Ukazatele rizik kvality:<\/strong><\/p>\n<ul>\n<li>M\u00edra odhalen\u00ed z\u00e1vad podle f\u00e1z\u00ed<\/li>\n<li>Procenta p\u0159epracov\u00e1n\u00ed<\/li>\n<li>Testov\u00e1n\u00ed mezer v pokryt\u00ed<\/li>\n<li>Trendy v n\u00e1lad\u00e1ch klient\u016f<\/li>\n<\/ul>\n<p>Tyto ukazatele propojujeme s automatick\u00fdmi v\u00fdstrahami. Kdy\u017e se vzorce posunou mimo obvykl\u00e9 rozmez\u00ed, jsou okam\u017eit\u011b upozorn\u011bni ti spr\u00e1vn\u00ed lid\u00e9. Ne na sch\u016fzce o p\u0159ezkoum\u00e1n\u00ed rizik p\u0159\u00ed\u0161t\u00ed m\u011bs\u00edc. Nyn\u00ed.<\/p>\n<h2>P\u0159em\u011bna poznatk\u016f v akci<\/h2>\n<p>Data bez akce jsou jen drahou z\u00e1bavou.<\/p>\n<p>Na\u0161e \u0159e\u0161en\u00ed Power BI navrhujeme na z\u00e1klad\u011b rozhodovac\u00edch bod\u016f, nikoli pouze datov\u00fdch bod\u016f. Ka\u017ed\u00fd p\u0159\u00edstrojov\u00fd panel odpov\u00edd\u00e1 na konkr\u00e9tn\u00ed ot\u00e1zky, kter\u00e9 vedou ke konkr\u00e9tn\u00edm akc\u00edm.<\/p>\n<p><strong>Ot\u00e1zky pro v\u00fdkonn\u00e9 pracovn\u00edky:<\/strong><\/p>\n<ul>\n<li>Kter\u00fdm projekt\u016fm je t\u0159eba v\u011bnovat okam\u017eitou pozornost?<\/li>\n<li>Kam bychom m\u011bli p\u0159erozd\u011blit zdroje?<\/li>\n<li>Jak\u00e1 rizika ohro\u017euj\u00ed na\u0161e strategick\u00e9 c\u00edle?<\/li>\n<\/ul>\n<p><strong>Dashboard projektov\u00e9ho mana\u017eera Ot\u00e1zky:<\/strong><\/p>\n<ul>\n<li>Jak\u00e9 \u00fakoly nest\u00edh\u00e1te?<\/li>\n<li>Kte\u0159\u00ed \u010dlenov\u00e9 t\u00fdmu jsou p\u0159et\u00ed\u017eeni?<\/li>\n<li>Kde se objevuj\u00ed probl\u00e9my s kvalitou?<\/li>\n<\/ul>\n<p><strong>Dashboard Spr\u00e1vce rizik Ot\u00e1zky:<\/strong><\/p>\n<ul>\n<li>Kter\u00e9 rizikov\u00e9 sc\u00e9n\u00e1\u0159e jsou st\u00e1le pravd\u011bpodobn\u011bj\u0161\u00ed?<\/li>\n<li>Jak\u00e9 strategie zm\u00edr\u0148ov\u00e1n\u00ed dopad\u016f funguj\u00ed?<\/li>\n<li>Kde pot\u0159ebujeme nov\u00e9 kontroly rizik?<\/li>\n<\/ul>\n<p>Ka\u017ed\u00fd \u0159\u00eddic\u00ed panel obsahuje doporu\u010den\u00e9 akce zalo\u017een\u00e9 na vzorc\u00edch dat. \u017d\u00e1dn\u00e9 h\u00e1d\u00e1n\u00ed, co d\u011blat d\u00e1l. \u017d\u00e1dn\u00e1 analytick\u00e1 paral\u00fdza.<\/p>\n<p>Vytv\u00e1\u0159\u00edme tak\u00e9 mo\u017enosti modelov\u00e1n\u00ed sc\u00e9n\u00e1\u0159\u016f. \"Co se stane s na\u0161\u00edm \u010dasov\u00fdm pl\u00e1nem, pokud p\u0159ijdeme o tento kl\u00ed\u010dov\u00fd zdroj?\" \"Jak ovlivn\u00ed sn\u00ed\u017een\u00ed rozpo\u010dtu 20% na\u0161e v\u00fdsledky?\" Odpov\u011bzte na tyto ot\u00e1zky d\u0159\u00edve, ne\u017e se stanou skute\u010dnost\u00ed.<\/p>\n<h2>\u00dasp\u011b\u0161n\u00e9 \u0159\u00edzen\u00ed rizik v re\u00e1ln\u00e9m sv\u011bt\u011b<\/h2>\n<p>Jeden v\u00fdrobn\u00ed klient ztr\u00e1cel pen\u00edze na stavebn\u00edch projektech. P\u0159ekro\u010den\u00ed rozpo\u010dtu \u010dinilo v pr\u016fm\u011bru 30%. Zpo\u017ed\u011bn\u00ed harmonogramu bylo b\u011b\u017en\u00e9.<\/p>\n<p>Propojili jsme jejich data pro \u0159\u00edzen\u00ed projekt\u016f, syst\u00e9my pro zad\u00e1v\u00e1n\u00ed zak\u00e1zek a finan\u010dn\u00ed v\u00fdkaznictv\u00ed v Power BI. Vzorce byly okam\u017eit\u011b z\u0159ejm\u00e9.<\/p>\n<p>Zv\u00fd\u0161en\u00ed materi\u00e1lov\u00fdch n\u00e1klad\u016f bylo zaznamen\u00e1no a\u017e p\u0159i m\u011bs\u00ed\u010dn\u00edch reviz\u00edch rozpo\u010dtu. V t\u00e9 dob\u011b ji\u017e byly vystaveny objedn\u00e1vky za nadsazen\u00e9 ceny. Zm\u011bnov\u00e9 p\u0159\u00edkazy nebyly vyhodnocov\u00e1ny z hlediska celkov\u00e9ho dopadu projektu - pouze z hlediska dopadu jednotliv\u00fdch \u00fakol\u016f.<\/p>\n<p>Konflikty zdroj\u016f mezi projekty nebyly viditeln\u00e9, dokud se lid\u00e9 nedostavili do pr\u00e1ce.<\/p>\n<p>\u0158e\u0161en\u00ed Power BI vytvo\u0159ilo p\u0159ehled o t\u011bchto vz\u00e1jemn\u011b propojen\u00fdch rizic\u00edch v re\u00e1ln\u00e9m \u010dase. Upozorn\u011bn\u00ed na n\u00e1klady na materi\u00e1l vyvolala okam\u017eitou revizi n\u00e1kupu. Dopady zm\u011bnov\u00fdch objedn\u00e1vek byly vyhodnocov\u00e1ny s ohledem na omezen\u00ed portfolia, nejen jednotliv\u00fdch projekt\u016f.<\/p>\n<p>P\u0159id\u011blov\u00e1n\u00ed zdroj\u016f uk\u00e1zalo konflikty s p\u0159edstihem n\u011bkolika t\u00fddn\u016f, co\u017e umo\u017enilo proaktivn\u00ed \u00fapravy pl\u00e1nov\u00e1n\u00ed.<\/p>\n<p>V\u00fdsledky po \u0161esti m\u011bs\u00edc\u00edch: P\u0159ekro\u010den\u00ed rozpo\u010dtu kleslo na 8%. Pln\u011bn\u00ed harmonogramu se zlep\u0161ilo o 40%. A co je je\u0161t\u011b d\u016fle\u017eit\u011bj\u0161\u00ed, p\u0159estaly je p\u0159ekvapovat probl\u00e9my.<\/p>\n<p>Spole\u010dnost zab\u00fdvaj\u00edc\u00ed se v\u00fdvojem softwaru pou\u017eila podobn\u00e9 p\u0159\u00edstupy k \u0159\u00edzen\u00ed rizik v oblasti kvality. Nam\u00edsto zji\u0161\u0165ov\u00e1n\u00ed z\u00e1vad p\u0159i u\u017eivatelsk\u00e9m akcepta\u010dn\u00edm testov\u00e1n\u00ed zji\u0161\u0165ovali vzorce zhor\u0161ov\u00e1n\u00ed kvality b\u011bhem v\u00fdvoje.<\/p>\n<p>M\u00edra zam\u00edtnut\u00ed kontroly k\u00f3du, trendy pokryt\u00ed jednotkov\u00fdch test\u016f a \u010detnost selh\u00e1n\u00ed sestaven\u00ed p\u0159edpov\u011bd\u011bly probl\u00e9my s kvalitou o t\u0159i sprinty d\u0159\u00edve. To jim poskytlo \u010das na \u00fapravu proces\u016f p\u0159ed dod\u00e1n\u00edm nefunk\u010dn\u00edho softwaru.<\/p>\n<p>Hodnocen\u00ed spokojenosti z\u00e1kazn\u00edk\u016f se zlep\u0161ilo 25%, proto\u017ee se do v\u00fdroby dostalo m\u00e9n\u011b z\u00e1vad.<\/p>\n<h2>Strategie implementace, kter\u00e1 skute\u010dn\u011b funguje<\/h2>\n<p>Nesna\u017ete se vy\u0159e\u0161it v\u0161echny probl\u00e9my s riziky hned prvn\u00ed den. To je recept na drah\u00e9 selh\u00e1n\u00ed.<\/p>\n<p>\u0158\u00edd\u00edme se c\u00edlen\u00fdm p\u0159\u00edstupem:<\/p>\n<p><strong>F\u00e1ze 1: Vyberte si jeden velk\u00fd probl\u00e9m<\/strong><br \/>Vyberte si nejdra\u017e\u0161\u00ed nebo nej\u010dast\u011bj\u0161\u00ed riziko. Pro tento jedin\u00fd probl\u00e9m vytvo\u0159te mo\u017enosti detekce a reakce. Ne\u017e za\u010dnete p\u0159id\u00e1vat slo\u017eitosti, zajist\u011bte jejich dokonal\u00e9 fungov\u00e1n\u00ed.<\/p>\n<p><strong>F\u00e1ze 2: P\u0159ipojen\u00ed souvisej\u00edc\u00edch zdroj\u016f dat<\/strong><br \/>Jakmile z\u00e1kladn\u00ed syst\u00e9m funguje, p\u0159idejte zdroje dat, kter\u00e9 poskytuj\u00ed dal\u0161\u00ed kontext. Finan\u010dn\u00ed \u00fadaje pro rozpo\u010dtov\u00e1 rizika. \u00dadaje o zdroj\u00edch pro rizika souvisej\u00edc\u00ed s harmonogramem. Zp\u011btn\u00e1 vazba od klienta pro rizika kvality.<\/p>\n<p><strong>F\u00e1ze 3: Roz\u0161\u00ed\u0159en\u00ed na souvisej\u00edc\u00ed rizika<\/strong><br \/>Pou\u017eijte sv\u016fj osv\u011bd\u010den\u00fd r\u00e1mec k \u0159e\u0161en\u00ed dal\u0161\u00ed kategorie nejv\u011bt\u0161\u00edch rizik. Budete postupovat rychleji, proto\u017ee infrastruktura existuje.<\/p>\n<p><strong>F\u00e1ze 4: Vytvo\u0159en\u00ed prediktivn\u00edch model\u016f<\/strong><br \/>Na z\u00e1klad\u011b historick\u00fdch dat vytvo\u0159te prediktivn\u00ed anal\u00fdzu. Modely strojov\u00e9ho u\u010den\u00ed, kter\u00e9 p\u0159edpov\u00eddaj\u00ed pravd\u011bpodobnost rizika na z\u00e1klad\u011b aktu\u00e1ln\u00edch podm\u00ednek.<\/p>\n<p>\u00dapln\u00e1 implementace tohoto p\u0159\u00edstupu trv\u00e1 6-12 m\u011bs\u00edc\u016f. V\u00fdsledky 1. f\u00e1ze jsou v\u0161ak vid\u011bt ji\u017e za n\u011bkolik t\u00fddn\u016f.<\/p>\n<p>Vedle technick\u00e9 implementace trv\u00e1me tak\u00e9 na \u0159\u00edzen\u00ed zm\u011bn. Sebelep\u0161\u00ed p\u0159\u00edstrojov\u00e1 deska na sv\u011bt\u011b sel\u017ee, pokud ji lid\u00e9 nepou\u017e\u00edvaj\u00ed. \u0160kolen\u00ed, integrace proces\u016f a kulturn\u00ed p\u0159ijet\u00ed jsou stejn\u011b d\u016fle\u017eit\u00e9 jako propojen\u00ed dat.<\/p>\n<h2>M\u011b\u0159en\u00ed n\u00e1vratnosti investic do \u0159\u00edzen\u00ed rizik<\/h2>\n<p>Dobr\u00e9 \u0159\u00edzen\u00ed rizik \u0161et\u0159\u00ed pen\u00edze. Skv\u011bl\u00e9 \u0159\u00edzen\u00ed rizik vyd\u011bl\u00e1v\u00e1 pen\u00edze.<\/p>\n<p>Sledujeme konkr\u00e9tn\u00ed metriky, abychom prok\u00e1zali vliv Power BI na \u0159\u00edzen\u00ed rizik:<\/p>\n<p><strong>P\u0159\u00edm\u00e9 \u00faspory n\u00e1klad\u016f:<\/strong><\/p>\n<ul>\n<li>Sn\u00ed\u017een\u00ed p\u0159ekro\u010den\u00ed rozpo\u010dtu<\/li>\n<li>M\u00e9n\u011b nouzov\u00fdch zdroj\u016f<\/li>\n<li>Ni\u017e\u0161\u00ed n\u00e1klady na p\u0159epracov\u00e1n\u00ed a kvalitu<\/li>\n<li>Sn\u00ed\u017een\u00ed m\u00edry zru\u0161en\u00ed projekt\u016f<\/li>\n<\/ul>\n<p><strong>Nep\u0159\u00edm\u00e1 tvorba hodnoty:<\/strong><\/p>\n<ul>\n<li>Zv\u00fd\u0161en\u00e1 spokojenost klient\u016f<\/li>\n<li>Zv\u00fd\u0161en\u00e1 produktivita t\u00fdmu<\/li>\n<li>Lep\u0161\u00ed vyu\u017eit\u00ed zdroj\u016f<\/li>\n<li>Rychlej\u0161\u00ed realizace projektu<\/li>\n<\/ul>\n<p><strong>Zlep\u0161en\u00ed reakce na rizika:<\/strong><\/p>\n<ul>\n<li>D\u0159\u00edv\u011bj\u0161\u00ed odhalen\u00ed probl\u00e9mu<\/li>\n<li>Rychlej\u0161\u00ed rozhodov\u00e1n\u00ed<\/li>\n<li>P\u0159esn\u011bj\u0161\u00ed posouzen\u00ed dopad\u016f<\/li>\n<li>Lep\u0161\u00ed \u00fa\u010dinnost zm\u00edr\u0148ov\u00e1n\u00ed<\/li>\n<\/ul>\n<p>V\u011bt\u0161ina organizac\u00ed dos\u00e1hne 3-5n\u00e1sobn\u00e9 n\u00e1vratnosti investic b\u011bhem prvn\u00edho roku. \u00daspory se v pr\u016fb\u011bhu \u010dasu zvy\u0161uj\u00ed s t\u00edm, jak se rozv\u00edjej\u00ed schopnosti \u0159\u00edzen\u00ed rizik.<\/p>\n<p>A co je d\u016fle\u017eit\u011bj\u0161\u00ed, v noci se v\u00e1m bude l\u00e9pe sp\u00e1t. U\u017e \u017e\u00e1dn\u00e1 nep\u0159\u00edjemn\u00e1 p\u0159ekvapen\u00ed na pond\u011bln\u00edch rann\u00edch sch\u016fzk\u00e1ch. U\u017e \u017e\u00e1dn\u00e9 vysv\u011btlov\u00e1n\u00ed vedouc\u00edm pracovn\u00edk\u016fm, pro\u010d projekty bez varov\u00e1n\u00ed selhaly.<\/p>\n<p>Va\u0161e \u0159\u00edzen\u00ed rizik se stane proaktivn\u00edm, nikoli reaktivn\u00edm. Probl\u00e9m\u016fm p\u0159edch\u00e1z\u00edte, m\u00edsto abyste je pouze dokumentovali.<\/p>\n<p>Power BI prom\u011bn\u00ed va\u0161e data v progn\u00f3zu. A p\u0159edv\u00eddavost zm\u011bn\u00ed \u0159\u00edzen\u00ed rizik z n\u00e1kladov\u00e9ho centra na konkuren\u010dn\u00ed v\u00fdhodu.<\/p>\n<p>Ot\u00e1zkou nen\u00ed, zda si m\u016f\u017eete dovolit zav\u00e9st lep\u0161\u00ed \u0159\u00edzen\u00ed rizik. Ot\u00e1zkou je, zda si m\u016f\u017eete dovolit to neud\u011blat.<\/p>\n<p>Va\u0161e konkurence ji\u017e vyu\u017e\u00edv\u00e1 data, aby vid\u011bla za roh. Doh\u00e1n\u011bt v \u0159\u00edzen\u00ed rizik je drah\u00e9. V\u00e9st hru je v\u00fdhodn\u00e9.<\/p>\n<\/div>\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>\u0158\u00edzen\u00ed rizik bez dat je jen odhad. A dohady projekty ni\u010d\u00ed. Vid\u011bli jsme, jak spole\u010dnosti prod\u011blaly miliony, proto\u017ee nedok\u00e1zaly p\u0159edv\u00eddat p\u0159ich\u00e1zej\u00edc\u00ed probl\u00e9my. Varovn\u00e1 znamen\u00ed tu byla. Data existovala. Ale nikdo si je nespojil, dokud nebylo p\u0159\u00edli\u0161 pozd\u011b. Power BI tuto hru m\u011bn\u00ed. Prom\u011bn\u00ed va\u0161e rozpt\u00fdlen\u00e1 data o rizic\u00edch v k\u0159i\u0161\u0165\u00e1lovou kouli pro ... <\/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\/cs\/wp-json\/wp\/v2\/posts\/13943","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/comments?post=13943"}],"version-history":[{"count":3,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/posts\/13943\/revisions"}],"predecessor-version":[{"id":13961,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/posts\/13943\/revisions\/13961"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/media\/13152"}],"wp:attachment":[{"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/media?parent=13943"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/categories?post=13943"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/tags?post=13943"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}