{"id":13092,"date":"2024-01-22T11:56:36","date_gmt":"2024-01-22T10:56:36","guid":{"rendered":"https:\/\/www.leaplytics.de\/?page_id=13092"},"modified":"2024-01-22T11:59:33","modified_gmt":"2024-01-22T10:59:33","slug":"power-bi-rizeni-financnich-rizik","status":"publish","type":"page","link":"https:\/\/www.leaplytics.de\/cs\/power-bi-rizeni-financnich-rizik\/","title":{"rendered":"Power BI: \u0158\u00edzen\u00ed finan\u010dn\u00edch rizik v sektoru finan\u010dn\u00edch slu\u017eeb"},"content":{"rendered":"<h2 class=\"wp-block-heading has-medium-font-size\">\u00davod<\/h2>\n\n\n\n<p>\u0158\u00edzen\u00ed rizik m\u00e1 ve financ\u00edch z\u00e1sadn\u00ed v\u00fdznam vzhledem k neust\u00e1l\u00e9 nejistot\u011b. Odborn\u00edci mus\u00ed identifikovat a \u0159e\u0161it kritick\u00e9 faktory pro stabilitu, dodr\u017eov\u00e1n\u00ed p\u0159edpis\u016f a r\u016fst. Tento \u010dl\u00e1nek se zab\u00fdv\u00e1 \u0159\u00edzen\u00edm rizik ve financ\u00edch a klade d\u016fraz na vizualizaci dat pomoc\u00ed matice rizik aplikace Power BI pro lep\u0161\u00ed rozhodov\u00e1n\u00ed.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-medium-font-size\">Rozhoduj\u00edc\u00ed faktory \u0159\u00edzen\u00ed rizik ve finan\u010dn\u00edch slu\u017eb\u00e1ch<\/h2>\n\n\n\n<p style=\"font-size:18px\">1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Dodr\u017eov\u00e1n\u00ed p\u0159edpis\u016f<\/strong>:<\/p>\n\n\n\n<p>Dodr\u017eov\u00e1n\u00ed regula\u010dn\u00edch po\u017eadavk\u016f je z\u00e1kladem \u0159\u00edzen\u00ed rizik ve finan\u010dn\u00edch slu\u017eb\u00e1ch. P\u0159edpisy jako Basel III, Dodd-Frank a MiFID II ukl\u00e1daj\u00ed p\u0159\u00edsn\u00e9 pokyny k zaji\u0161t\u011bn\u00ed stability a ochrany z\u00fa\u010dastn\u011bn\u00fdch stran. Finan\u010dn\u00ed instituce mus\u00ed dr\u017eet krok s vyv\u00edjej\u00edc\u00edmi se p\u0159edpisy a zav\u00e1d\u011bt d\u016fkladn\u00e1 opat\u0159en\u00ed pro zaji\u0161t\u011bn\u00ed souladu s p\u0159edpisy.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>KPI:<\/strong> Sk\u00f3re shody<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Vysv\u011btlen\u00ed:<\/strong> Tento kl\u00ed\u010dov\u00fd ukazatel v\u00fdkonnosti m\u011b\u0159\u00ed, jak instituce dodr\u017euje regula\u010dn\u00ed po\u017eadavky. Vy\u0161\u0161\u00ed sk\u00f3re znamen\u00e1 lep\u0161\u00ed dodr\u017eov\u00e1n\u00ed p\u0159edpis\u016f.<\/li>\n<\/ul>\n\n\n\n<p style=\"font-size:18px\">2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>\u00dav\u011brov\u00e9 riziko<\/strong>:<\/p>\n\n\n\n<p>\u00dav\u011brov\u00e9 riziko je neodmyslitelnou sou\u010d\u00e1st\u00ed finan\u010dn\u00edho sektoru a jeho \u0159\u00edzen\u00ed je nezbytn\u00e9. Anal\u00fdza \u00fav\u011bruschopnosti dlu\u017en\u00edk\u016f, sledov\u00e1n\u00ed \u00fav\u011brov\u00fdch expozic a prov\u00e1d\u011bn\u00ed pe\u010dliv\u00fdch \u00fav\u011brov\u00fdch postup\u016f jsou pro zm\u00edrn\u011bn\u00ed \u00fav\u011brov\u00e9ho rizika z\u00e1sadn\u00ed.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>KPI:<\/strong> Rating\/Index pravd\u011bpodobnosti selh\u00e1n\u00ed<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Vysv\u011btlen\u00ed:<\/strong> Rating\/Index pravd\u011bpodobnosti selh\u00e1n\u00ed odr\u00e1\u017e\u00ed pravd\u011bpodobnost, \u017ee dlu\u017en\u00edci nespl\u00e1c\u00ed \u00fav\u011bry. Ni\u017e\u0161\u00ed rating\/index je \u017e\u00e1douc\u00ed, co\u017e znamen\u00e1 ni\u017e\u0161\u00ed \u00fav\u011brov\u00e9 riziko.<\/li>\n<\/ul>\n\n\n\n<p style=\"font-size:18px\">3.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Tr\u017en\u00ed riziko<\/strong>:<\/p>\n\n\n\n<p>Kol\u00eds\u00e1n\u00ed \u00farokov\u00fdch sazeb, sm\u011bnn\u00fdch kurz\u016f a cen komodit p\u0159edstavuje pro finan\u010dn\u00ed instituce v\u00fdzvu. Zaveden\u00ed rizikov\u00fdch model\u016f, kter\u00e9 vyhodnocuj\u00ed expozici v\u016f\u010di tr\u017en\u00edmu riziku, je nezbytn\u00e9. Sc\u00e9n\u00e1\u0159e z\u00e1t\u011b\u017eov\u00e9ho testov\u00e1n\u00ed mohou pomoci identifikovat potenci\u00e1ln\u00ed zraniteln\u00e1 m\u00edsta.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>KPI:<\/strong> Index volatility trhu<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Vysv\u011btlen\u00ed:<\/strong> Index volatility trhu ur\u010duje m\u00edru nep\u0159edv\u00eddatelnosti na finan\u010dn\u00edch trz\u00edch. Vy\u0161\u0161\u00ed index nazna\u010duje vy\u0161\u0161\u00ed tr\u017en\u00ed riziko.<\/li>\n<\/ul>\n\n\n\n<p style=\"font-size:18px\">4.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Opera\u010dn\u00ed riziko<\/strong>:<\/p>\n\n\n\n<p>Naru\u0161en\u00ed provozu, hrozby kybernetick\u00e9 bezpe\u010dnosti <a href=\"https:\/\/www.leaplytics.de\/cs\/rizeni-rizik-kyberneticke-bezpecnosti-v-oblasti-energetiky\/\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\">(klikn\u011bte zde a pod\u00edvejte se na n\u00e1\u0161 \u010dl\u00e1nek o \u0159\u00edzen\u00ed rizik kybernetick\u00e9 bezpe\u010dnosti)<\/mark><\/a>a selh\u00e1n\u00ed intern\u00edch proces\u016f mohou m\u00edt dopad na finan\u010dn\u00ed slu\u017eby. Z\u00e1sadn\u00ed v\u00fdznam m\u00e1 vypracov\u00e1n\u00ed komplexn\u00edch r\u00e1mc\u016f rizik, prov\u00e1d\u011bn\u00ed pravideln\u00fdch audit\u016f a sledov\u00e1n\u00ed opat\u0159en\u00ed v oblasti kybernetick\u00e9 bezpe\u010dnosti. Tato opat\u0159en\u00ed pom\u00e1haj\u00ed p\u0159i \u0159\u00edzen\u00ed opera\u010dn\u00edho rizika.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>KPI:<\/strong> Sk\u00f3re provozn\u00ed odolnosti<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Vysv\u011btlen\u00ed:<\/strong> Sk\u00f3re provozn\u00ed odolnosti hodnot\u00ed schopnost instituce odolat provozn\u00edm poruch\u00e1m a zotavit se z nich. Vy\u0161\u0161\u00ed sk\u00f3re znamen\u00e1 vy\u0161\u0161\u00ed provozn\u00ed odolnost.<\/li>\n<\/ul>\n\n\n\n<p style=\"font-size:18px\">5.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Riziko likvidity<\/strong>:<\/p>\n\n\n\n<p>Zaji\u0161t\u011bn\u00ed dostate\u010dn\u00e9 likvidity pro pln\u011bn\u00ed kr\u00e1tkodob\u00fdch z\u00e1vazk\u016f je z\u00e1sadn\u00ed. Instituce mus\u00ed m\u00edt pohotovostn\u00ed pl\u00e1ny, prov\u00e1d\u011bt z\u00e1t\u011b\u017eov\u00e9 testy likvidity a udr\u017eovat rovnov\u00e1hu mezi kr\u00e1tkodob\u00fdmi a dlouhodob\u00fdmi aktivy.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>KPI:<\/strong> Ukazatel kryt\u00ed likvidity<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Vysv\u011btlen\u00ed:<\/strong> Ukazatel kryt\u00ed likvidity m\u011b\u0159\u00ed schopnost instituce pokr\u00fdt kr\u00e1tkodob\u00e9 z\u00e1vazky likvidn\u00edmi aktivy. Vy\u0161\u0161\u00ed ukazatel indikuje zdrav\u011bj\u0161\u00ed likvidn\u00ed pozici.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-medium-font-size\">Vizualizace dat pomoc\u00ed matice rizik pro Power BI<\/h2>\n\n\n\n<p>Matice rizik pro Power BI je v\u00fdkonn\u00fd vizu\u00e1ln\u00ed n\u00e1stroj pro mana\u017eery rizik, kter\u00fd jim umo\u017e\u0148uje vyhodnocovat rizika, ur\u010dovat jejich priority a informovat o nich. Matice umo\u017e\u0148uje kategorizaci rizik na z\u00e1klad\u011b jejich pravd\u011bpodobnosti a dopadu. D\u00edky sv\u00fdm rozs\u00e1hl\u00fdm funkc\u00edm umo\u017e\u0148uje matice rizik komplexn\u00ed a v\u00edcerozm\u011brn\u00fd pohled na oblast rizik.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.leaplytics.de\/wp-content\/uploads\/2024\/01\/Risk-Matrix.jpg\" alt=\"\" class=\"wp-image-13066\" srcset=\"https:\/\/www.leaplytics.de\/wp-content\/uploads\/2024\/01\/Risk-Matrix.jpg 1024w, https:\/\/www.leaplytics.de\/wp-content\/uploads\/2024\/01\/Risk-Matrix-300x169.jpg 300w, https:\/\/www.leaplytics.de\/wp-content\/uploads\/2024\/01\/Risk-Matrix-768x432.jpg 768w, https:\/\/www.leaplytics.de\/wp-content\/uploads\/2024\/01\/Risk-Matrix-107x60.jpg 107w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-1 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-font-size\" style=\"font-size:18px\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/www.leaplytics.de\/cs\/titulni-stranka\/rizeni-projektu-vlastni-vizualizace-microsoft-powerbi\/vlastni-vizualni-mapa-rizik-pro-power-bi\/\" style=\"background-color:#22316d\">Pod\u00edvejte se na na\u0161i vlastn\u00ed vizu\u00e1ln\u00ed matici rizik pro Power BI zde!<\/a><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-medium-font-size\">V\u00fdzvy a p\u0159\u00edle\u017eitosti<\/h2>\n\n\n\n<p><strong>V\u00fdzvy<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Kvalita dat a integrace<\/strong>: Zaji\u0161t\u011bn\u00ed p\u0159esnosti a spolehlivosti \u00fadaj\u016f z r\u016fzn\u00fdch zdroj\u016f m\u016f\u017ee b\u00fdt n\u00e1ro\u010dn\u00e9. Integrace dat do aplikace Power BI vy\u017eaduje pe\u010dlivou p\u00e9\u010di o zachov\u00e1n\u00ed integrity dat.<\/li>\n\n\n\n<li><strong>Komunikace se z\u00fa\u010dastn\u011bn\u00fdmi stranami<\/strong>: Z\u00e1sadn\u00ed v\u00fdznam m\u00e1 sd\u011blov\u00e1n\u00ed informac\u00ed o rizic\u00edch z\u00fa\u010dastn\u011bn\u00fdm stran\u00e1m. Probl\u00e9m spo\u010d\u00edv\u00e1 v prezentaci slo\u017eit\u00fdch \u00fadaj\u016f ve srozumiteln\u00e9 form\u011b.<\/li>\n<\/ul>\n\n\n\n<p><strong>P\u0159\u00edle\u017eitosti<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Prediktivn\u00ed anal\u00fdza<\/strong>: Pou\u017eit\u00ed prediktivn\u00ed anal\u00fdzy v Power BI identifikuje mo\u017en\u00e1 rizika d\u0159\u00edve, ne\u017e k nim dojde. To pom\u00e1h\u00e1 \u0159\u00eddit rizika s p\u0159edstihem.<\/li>\n\n\n\n<li><strong>Monitorov\u00e1n\u00ed v re\u00e1ln\u00e9m \u010dase<\/strong>: Power BI umo\u017e\u0148uje sledovat kl\u00ed\u010dov\u00e9 ukazatele rizik v re\u00e1ln\u00e9m \u010dase. To umo\u017e\u0148uje pru\u017en\u011b reagovat na vznikaj\u00edc\u00ed rizika.<\/li>\n<\/ul>\n\n\n\n<p><strong>\u0158e\u0161en\u00ed probl\u00e9m\u016f prost\u0159ednictv\u00edm \u0159\u00edzen\u00ed rizik<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Zaveden\u00ed spr\u00e1vy dat<\/strong>: Zaveden\u00ed d\u016fkladn\u00fdch postup\u016f spr\u00e1vy dat zaji\u0161\u0165uje kvalitu a integritu dat. To zvy\u0161uje spolehlivost hodnocen\u00ed rizik.<\/li>\n\n\n\n<li><strong>\u0160kolen\u00ed z\u00fa\u010dastn\u011bn\u00fdch stran<\/strong>: Poskytn\u011bte \u0161kolen\u00ed o interpretaci rizikov\u00fdch dat a vyu\u017eit\u00ed n\u00e1stroj\u016f Power BI pro informovan\u00e9 rozhodov\u00e1n\u00ed.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-medium-font-size\">Z\u00e1v\u011br<\/h2>\n\n\n\n<p>V dynamick\u00e9m odv\u011btv\u00ed finan\u010dn\u00edch slu\u017eeb je efektivn\u00ed \u0159\u00edzen\u00ed rizik kl\u00ed\u010dov\u00e9. Vyu\u017eit\u00ed n\u00e1stroj\u016f, jako je matice rizik pro Power BI, zlep\u0161uje rozhodov\u00e1n\u00ed. Pom\u00e1h\u00e1 p\u0159i zvl\u00e1d\u00e1n\u00ed probl\u00e9m\u016f a vyu\u017e\u00edv\u00e1n\u00ed p\u0159\u00edle\u017eitost\u00ed. Z\u00e1sadn\u00edmi kroky jsou \u0159e\u0161en\u00ed kvality dat, zlep\u0161en\u00ed komunikace se zainteresovan\u00fdmi stranami a vyu\u017eit\u00ed pokro\u010dil\u00e9 analytiky. P\u0159ijet\u00edm t\u011bchto strategi\u00ed mohou finan\u010dn\u00ed instituce vybudovat odolnost a zajistit udr\u017eiteln\u00fd r\u016fst.<\/p>","protected":false},"excerpt":{"rendered":"<p>\u00davod \u0158\u00edzen\u00ed rizik m\u00e1 ve financ\u00edch z\u00e1sadn\u00ed v\u00fdznam vzhledem k neust\u00e1l\u00e9 nejistot\u011b. Odborn\u00edci mus\u00ed identifikovat a \u0159e\u0161it kritick\u00e9 faktory pro stabilitu, dodr\u017eov\u00e1n\u00ed p\u0159edpis\u016f a r\u016fst. Tento \u010dl\u00e1nek se zab\u00fdv\u00e1 \u0159\u00edzen\u00edm rizik ve financ\u00edch a klade d\u016fraz na vizualizaci dat pomoc\u00ed matice rizik aplikace Power BI pro lep\u0161\u00ed rozhodov\u00e1n\u00ed. Rozhoduj\u00edc\u00ed faktory v \u0159\u00edzen\u00ed rizik ve finan\u010dn\u00edch slu\u017eb\u00e1ch 1.      Dodr\u017eov\u00e1n\u00ed pr\u00e1vn\u00edch p\u0159edpis\u016f: Dodr\u017eov\u00e1n\u00ed regulatorn\u00edch po\u017eadavk\u016f: 1. Dodr\u017eov\u00e1n\u00ed regulatorn\u00edch ... <\/p>","protected":false},"author":55,"featured_media":13094,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-13092","page","type-page","status-publish","has-post-thumbnail","hentry","latest_post"],"_links":{"self":[{"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/pages\/13092","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/users\/55"}],"replies":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/comments?post=13092"}],"version-history":[{"count":6,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/pages\/13092\/revisions"}],"predecessor-version":[{"id":13102,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/pages\/13092\/revisions\/13102"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/media\/13094"}],"wp:attachment":[{"href":"https:\/\/www.leaplytics.de\/cs\/wp-json\/wp\/v2\/media?parent=13092"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}