{"id":13931,"date":"2025-09-30T16:57:43","date_gmt":"2025-09-30T14:57:43","guid":{"rendered":"https:\/\/www.leaplytics.de\/?p=13931"},"modified":"2025-09-30T17:22:05","modified_gmt":"2025-09-30T15:22:05","slug":"kvantificeta-riska-sistemas-izstrade-power-bi-nenoteiktibas-izplatisanas-lineage-uzticibas-raditaji-un-parvaldiba-ka-kods","status":"publish","type":"post","link":"https:\/\/www.leaplytics.de\/lv\/kvantificeta-riska-sistemas-izstrade-power-bi-nenoteiktibas-izplatisanas-lineage-uzticibas-raditaji-un-parvaldiba-ka-kods\/","title":{"rendered":"Kvantific\u0113to risku sist\u0113ma Power BI: nenoteikt\u012bbas izplat\u012b\u0161an\u0101s, uzticam\u012bbas r\u0101d\u012bt\u0101ji un p\u0101rvald\u012bba k\u0101 kods (Governance-as-Code)"},"content":{"rendered":"<p>Liel\u0101k\u0101 da\u013ca riska sist\u0113mu ir boj\u0101tas. T\u0101s pa\u013caujas tikai uz kr\u0101sain\u0101m matric\u0101m un iek\u0161\u0113j\u0101m saj\u016bt\u0101m, kam\u0113r j\u016bsu bizness zaud\u0113 miljonus neveiksm\u012bgos projektos.<\/p>\n<p>Esam veidoju\u0161i riska sist\u0113mas Fortune 500 uz\u0146\u0113mumu sarakst\u0101 iek\u013cautiem uz\u0146\u0113mumiem un nov\u0113roju\u0161i vienu un to pa\u0161u tendenci: komandas veido skaistas inform\u0101cijas pane\u013cus, kas izskat\u0101s iespaid\u012bgi, bet nesp\u0113j atbild\u0113t uz vienu svar\u012bgu jaut\u0101jumu - \"K\u0101da ir re\u0101l\u0101 varb\u016bt\u012bba, ka \u0161is projekts b\u016bs veiksm\u012bgs?\".<\/p>\n<p>Probl\u0113ma nav j\u016bsu komandas kompetenc\u0113. Probl\u0113ma ir t\u0101, ka tradicion\u0101l\u0101 riska p\u0101rvald\u012bba nenoteikt\u012bbu uzskata par statisku skaitli, lai gan paties\u012bb\u0101 t\u0101 ir dz\u012bvs, elpojo\u0161s zv\u0113rs, kas palielin\u0101s vis\u0101 projekta dz\u012bves cikl\u0101.<\/p>\n<p>\u0160aj\u0101 rokasgr\u0101mat\u0101 ir par\u0101d\u012bts, k\u0101 Power BI izveidot kvantitat\u012bvi izteiktu risku sist\u0113mu, kas patie\u0161\u0101m darbojas. Nek\u0101das teorijas. Nek\u0101das p\u016bkain\u012bbas. Tikai tr\u012bs galvenie komponenti, kas no\u0161\u0137ir uz\u0146\u0113mumus, kuri \u012bsteno projektus laik\u0101 un bud\u017eet\u0101, no tiem, kuri tos ne\u012bsteno.<\/p>\n<h2>Tradicion\u0101l\u0101s riska p\u0101rvald\u012bbas probl\u0113ma<\/h2>\n<p>Ieejiet jebkur\u0101 projekta san\u0101ksm\u0113, un j\u016bs redz\u0113siet to pa\u0161u te\u0101tri: sarkani, dzelteni un za\u013ci punkti\u0146i, kas izkais\u012bti pa risku re\u0123istru. Ja k\u0101dam pajaut\u0101siet, ko paties\u012bb\u0101 noz\u012bm\u0113 \"vid\u0113js risks\", izsakot to dol\u0101ros un laika grafik\u0101, j\u016bs sastapsiet tuk\u0161u skatienu.<\/p>\n<p>L\u016bk, kas ar \u0161o pieeju ir nepareizi:<\/p>\n<ul>\n<li><strong>Nav matem\u0101tiska pamatojuma:<\/strong> \"Augsts risks\" da\u017e\u0101diem cilv\u0113kiem noz\u012bm\u0113 da\u017e\u0101das lietas.<\/li>\n<li><strong>Statiska dom\u0101\u0161ana:<\/strong> Riski apvienojas un mijiedarbojas, bet vairums sist\u0113mu tos uzskata par atsevi\u0161\u0137iem notikumiem.<\/li>\n<li><strong>Nav datu l\u012bnijas:<\/strong> J\u016bs nevarat izsekot, k\u0101 tika izdar\u012bti secin\u0101jumi, vai apstiprin\u0101t to pareiz\u012bbu.<\/li>\n<li><strong>Manu\u0101l\u0101 p\u0101rvald\u012bba:<\/strong> Risku p\u0101rskat\u012b\u0161ana notiek san\u0101ksm\u0113s, nevis kodos<\/li>\n<\/ul>\n<p>Rezult\u0101ts? Projekti, kas izskat\u0101s \"za\u013ci\", l\u012bdz p\u0113k\u0161\u0146i t\u0101di vairs nav. Tad jau ir par v\u0113lu kori\u0123\u0113t kursu.<\/p>\n<p>Mums bija vajadz\u012bga cit\u0101da pieeja. T\u0101da, kas ar re\u0101liem skait\u013ciem kvantitat\u012bvi nosaka risku, seko l\u012bdzi tam, k\u0101 nenoteikt\u012bba pl\u016bst caur projekta atkar\u012bb\u0101m, un automatiz\u0113 p\u0101rvald\u012bbu, lai probl\u0113mas par\u0101d\u012btos, pirms t\u0101s k\u013c\u016bst par katastrof\u0101m.<\/p>\n<h2>1. komponents: Nenoteikt\u012bbas izplat\u012b\u0161an\u0101s - riska matem\u0101tikas izmanto\u0161ana<\/h2>\n<p>Nenoteikt\u012bbas izplat\u012b\u0161an\u0101s izklaus\u0101s sare\u017e\u0123\u012bti, ta\u010du koncepcija ir vienk\u0101r\u0161a: ja nenoteiktas lietas uzkr\u0101j vienu uz otras, kop\u0113j\u0101 nenoteikt\u012bba pieaug paredzam\u0101 veid\u0101.<\/p>\n<p>Padom\u0101jiet par to \u0161\u0101di: Ja uzdevums A aiz\u0146em 5-10 dienas un uzdevums B - 3-7 dienas, kop\u0113jais laiks nav 8-17 dienas. Matem\u0101tika ir nians\u0113t\u0101ka, \u0146emot v\u0113r\u0101 to, k\u0101 kombin\u0113jas varb\u016bt\u012bbu sadal\u012bjumi.<\/p>\n<p>L\u016bk, k\u0101 m\u0113s to \u012bstenojam Power BI:<\/p>\n<h3>1. solis: defin\u0113t varb\u016bt\u012bbu sadal\u012bjumu<\/h3>\n<p>T\u0101 viet\u0101, lai teiktu \"Uzdevums A ir vid\u0113ji riskants\", m\u0113s to defin\u0113jam k\u0101 varb\u016bt\u012bbas sadal\u012bjumu. M\u0113s parasti izmantojam tr\u012bs punktu nov\u0113rt\u0113jumus (optimistisks, visticam\u0101kais, pesimistisks), lai izveidotu Beta sadal\u012bjumu.<\/p>\n<p>Programm\u0101 Power BI izveidojiet apr\u0113\u0137in\u0101t\u0101s kolonnas:<\/p>\n<ul>\n<li>Optimistiskais scen\u0101rijs (10. procentile)<\/li>\n<li>Visticam\u0101kais scen\u0101rijs (re\u017e\u012bms)<\/li>\n<li>Pesimistiskais scen\u0101rijs (90. procentile)<\/li>\n<\/ul>\n<h3>2. solis: Izveidojiet izplat\u012b\u0161anas lo\u0123iku<\/h3>\n<p>Izveidojiet DAX pas\u0101kumus, kas matem\u0101tiski apvieno sadal\u012bjumus. Neatkar\u012bgiem sec\u012bgiem uzdevumiem:<\/p>\n<ul>\n<li>Vid\u0113jais kop\u0113jais r\u0101d\u012bt\u0101js = individu\u0101lo vid\u0113jo r\u0101d\u012bt\u0101ju summa<\/li>\n<li>Varian\u010du kopsumma = individu\u0101lo vari\u0101ciju summa<\/li>\n<li>Standartnovirze kop\u0101 = kop\u0113j\u0101s dispersijas kvadr\u0101tsakne<\/li>\n<\/ul>\n<p>Korel\u0113tiem riskiem apr\u0113\u0137inu kori\u0123\u0113\u0161anai pievienojiet korel\u0101cijas koeficientus.<\/p>\n<h3>3. solis: Vizualiz\u0113jiet nenoteikt\u012bbas diapazonus<\/h3>\n<p>Izmantojiet Power BI k\u013c\u016bdu joslas un ticam\u012bbas interv\u0101la diagrammas, lai par\u0101d\u012btu varb\u016bt\u012bbas diapazonus, nevis punktu apl\u0113ses. J\u016bsu ieinteres\u0113taj\u0101m person\u0101m ir j\u0101redz, ka \"3 m\u0113ne\u0161i\" paties\u012bb\u0101 noz\u012bm\u0113 \"2,1 l\u012bdz 4,2 m\u0113ne\u0161i ar 80% ticam\u012bbu\".<\/p>\n<p>\u0160\u012b pieeja main\u012bja viena klienta $50M infrastrukt\u016bras projekta p\u0101rvald\u012bbu. T\u0101 viet\u0101, lai atkl\u0101tu bud\u017eeta p\u0101rsnieg\u0161anu 60% pabeig\u0161anas br\u012bd\u012b, vi\u0146i identific\u0113ja izmaksu centrus ar liel\u0101m sv\u0101rst\u012bb\u0101m 15% pabeig\u0161anas br\u012bd\u012b un veica kori\u0123\u0113jo\u0161us pas\u0101kumus.<\/p>\n<h2>2. komponents: Lineage Trust Scores - zin\u0101t, kam var tic\u0113t<\/h2>\n<p>Ne visi dati ir vien\u0101di. J\u016bsu pieredz\u0113ju\u0161\u0101k\u0101 in\u017eeniera izmaksu apl\u0113s\u0113m ir liel\u0101ks svars nek\u0101 jaun\u0101k\u0101 anal\u012bti\u0137a, kas izmanto novecoju\u0161us pie\u0146\u0113mumus.<\/p>\n<p>L\u012bnijp\u0101rvad\u0101t\u0101ju uzticam\u012bbas r\u0101d\u012bt\u0101ji kvantific\u0113 datu uzticam\u012bbu, lai j\u016bs var\u0113tu attiec\u012bgi nov\u0113rt\u0113t riska apr\u0113\u0137inus.<\/p>\n<h3>K\u0101 darbojas uztic\u012bbas r\u0101d\u012bt\u0101ji<\/h3>\n<p>M\u0113s pie\u0161\u0137iram skaitliskos punktus (skala 0-1), pamatojoties uz \u010detriem faktoriem:<\/p>\n<ul>\n<li><strong>Avota uzticam\u012bba:<\/strong> Personas vai sist\u0113mas, kas sniedz apl\u0113ses, darb\u012bbas v\u0113sture.<\/li>\n<li><strong>Datu svaigums:<\/strong> Cik jauna ir pamatinform\u0101cija<\/li>\n<li><strong>Metodes kvalit\u0101te:<\/strong> Vai tas bija neapdom\u012bgs min\u0113jums vai balst\u012bj\u0101s uz v\u0113sturisku anal\u012bzi.<\/li>\n<li><strong>Apstiprin\u0101\u0161anas l\u012bmenis:<\/strong> Cik neatkar\u012bgu p\u0101rbau\u017eu ir iztur\u0113ju\u0161i \u0161ie dati<\/li>\n<\/ul>\n<h3>\u012asteno\u0161ana Power BI<\/h3>\n<p>Izveidojiet datu kvalit\u0101tes tabulu, kur\u0101 var izsekot:<\/p>\n<ul>\n<li>Datu avota ID<\/li>\n<li>P\u0113d\u0113j\u0101s atjaunin\u0101\u0161anas laika z\u012bmogs<\/li>\n<li>Izmantot\u0101 metode (mekl\u0113\u0161anas tabula ar v\u0113rt\u0113jumiem)<\/li>\n<li>Apstiprin\u0101jumu skaits<\/li>\n<li>Avota kompetences l\u012bmenis<\/li>\n<\/ul>\n<p>Izveidojiet apr\u0113\u0137in\u0101to sleju, kur\u0101 \u0161ie faktori tiek apvienoti salikt\u0101 uzticam\u012bbas v\u0113rt\u0113jum\u0101:<\/p>\n<p><code>Uzticam\u012bbas r\u0101d\u012bt\u0101js = (avota svars * metodes svars * svaiguma svars * valid\u0101cijas svars) \/ 4<\/code><\/p>\n<h3>Uztic\u012bbas punktu izmanto\u0161ana riska apr\u0113\u0137inos<\/h3>\n<p>Sveriet nenoteikt\u012bbas diapazonus p\u0113c uzticam\u012bbas r\u0101d\u012bt\u0101jiem. Zemas ticam\u012bbas apl\u0113s\u0113m ir liel\u0101ki ticam\u012bbas interv\u0101li. Augstas ticam\u012bbas apl\u0113s\u0113m ir \u0161aur\u0101ki interv\u0101li.<\/p>\n<p>T\u0101d\u0113j\u0101di tiek nov\u0113rsta probl\u0113ma \"atkritumi-ie-atkritumi\", kas izn\u012bcina liel\u0101ko da\u013cu anal\u012btisko projektu. J\u016bs ne tikai apr\u0113\u0137in\u0101t risku - j\u016bs apr\u0113\u0137in\u0101t risku, pamatojoties uz to, cik liel\u0101 m\u0113r\u0101 jums vajadz\u0113tu uztic\u0113ties saviem ievaddatiem.<\/p>\n<p>Viens ra\u017eo\u0161anas klients izmantoja \u0161o pieeju, lai noteiktu, ka t\u0101 \"zema riska\" pieg\u0101d\u0101t\u0101ju nov\u0113rt\u0113jumi balst\u012bj\u0101s uz divu gadu veciem finan\u0161u datiem. Atjauninot anal\u012bzi ar jaun\u0101kajiem datiem, tr\u012bs \"za\u013cie\" pieg\u0101d\u0101t\u0101ji tika p\u0101rcelti uz \"sarkanajiem\" - divas ned\u0113\u013cas pirms lieliem pieg\u0101des \u0137\u0113des trauc\u0113jumiem.<\/p>\n<h2>3. komponents: p\u0101rvald\u012bba k\u0101 kods - dro\u0161\u012bbas t\u012bkla automatiz\u0101cija<\/h2>\n<p>Manu\u0101l\u0101 p\u0101rvald\u012bba nav m\u0113rogojama, un t\u0101 ir nekonsekventa. Tas, kas tiek atz\u012bm\u0113ts k\u0101 risks, ir atkar\u012bgs no t\u0101, kuram ir laba diena un kur\u0161 atceras p\u0101rbaud\u012bt.<\/p>\n<p>Vad\u012bba k\u0101 kods automatiz\u0113 riska atkl\u0101\u0161anu un eskal\u0101ciju, izmantojot iepriek\u0161 defin\u0113tus noteikumus, kas tiek palaisti katru reizi, kad dati tiek atjaunoti.<\/p>\n<h3>Automatiz\u0113tu riska noteikumu izveide<\/h3>\n<p>Riska robe\u017ev\u0113rt\u012bbas defin\u0113jiet k\u0101 DAX m\u0113r\u012bjumus, nevis k\u0101 stingri kod\u0113tas v\u0113rt\u012bbas. Piem\u0113ri:<\/p>\n<ul>\n<li>Bud\u017eeta novirze p\u0101rsniedz 15% no apstiprin\u0101t\u0101s summas<\/li>\n<li>Grafiks uzticam\u012bba samazin\u0101s zem 70%<\/li>\n<li>Jebkuram kritisk\u0101 ce\u013ca uzdevumam ir uzticam\u012bbas r\u0101d\u012bt\u0101js zem 0,6.<\/li>\n<li>30 dienu laik\u0101 nav apstiprin\u0101ti tr\u012bs vai vair\u0101k pie\u0146\u0113mumi.<\/li>\n<\/ul>\n<h3>Eskal\u0101cijas lo\u0123ika<\/h3>\n<p>Izveidojiet apr\u0113\u0137in\u0101t\u0101s kolonnas, kas izraisa da\u017e\u0101dus atbildes l\u012bme\u0146us:<\/p>\n<ul>\n<li><strong>Za\u013c\u0101 kr\u0101s\u0101:<\/strong> Visas robe\u017ev\u0113rt\u012bbas ir sasniegtas, nav nepiecie\u0161ams r\u012bkoties<\/li>\n<li><strong>Dzeltens:<\/strong> P\u0101rk\u0101pts viens slieksnis, pastiprin\u0101t uzraudz\u012bbu<\/li>\n<li><strong>Sarkans:<\/strong> P\u0101rk\u0101ptas vair\u0101kas robe\u017ev\u0113rt\u012bbas, nepiecie\u0161ama t\u016bl\u012bt\u0113ja p\u0101rskat\u012b\u0161ana<\/li>\n<\/ul>\n<h3>Integr\u0101cija ar Power Automate<\/h3>\n<p>Savienojiet p\u0101rvald\u012bbas noteikumus ar Power Automate pl\u016bsm\u0101m, kas:<\/p>\n<ul>\n<li>Automatiz\u0113tu br\u012bdin\u0101jumu nos\u016bt\u012b\u0161ana, ja tiek p\u0101rk\u0101ptas robe\u017ev\u0113rt\u012bbas.<\/li>\n<li>Izveidot uzdevumus projektu vad\u012bbas sist\u0113m\u0101s<\/li>\n<li>Pl\u0101nojiet p\u0101rskata san\u0101ksmes ar attiec\u012bgaj\u0101m ieinteres\u0113taj\u0101m person\u0101m.<\/li>\n<li>Iz\u0146\u0113mumu zi\u0146ojumu sagatavo\u0161ana augst\u0101kajai vad\u012bbai<\/li>\n<\/ul>\n<h3>Audita izsekojam\u012bba<\/h3>\n<p>Re\u0123istr\u0113jiet katru p\u0101rvald\u012bbas darb\u012bbu, nor\u0101dot laika z\u012bmogus, iedarbin\u0101\u0161anas nosac\u012bjumus un veikt\u0101s atbildes. T\u0101d\u0113j\u0101di tiek rad\u012bta rev\u012bzijas liec\u012bba, kas ir b\u016btiska nep\u0101rtrauktai uzlabo\u0161anai un normat\u012bvo aktu iev\u0113ro\u0161anai.<\/p>\n<p>K\u0101ds b\u016bvniec\u012bbas klients ieviesa \u0161o pieeju un se\u0161u m\u0113ne\u0161u laik\u0101 samazin\u0101ja vid\u0113jo projekta p\u0101rsniegumu no 23% l\u012bdz 8%. T\u0101 viet\u0101, lai pa\u013cautos uz to, ka projektu vad\u012bt\u0101ji probl\u0113mas atkl\u0101j manu\u0101li, sist\u0113ma autom\u0101tiski konstat\u0113ja apjoma papla\u0161in\u0101\u0161anos un resursu konfliktus.<\/p>\n<h2>Integr\u0101cijas strat\u0113\u0123ija: Komponentu savstarp\u0113ja sadarb\u012bba<\/h2>\n<p>Katrs no \u0161iem trim komponentiem atsevi\u0161\u0137i ir sp\u0113c\u012bgs, bet pareizi integr\u0113ti tie ir p\u0101rveidojo\u0161i.<\/p>\n<h3>Datu pl\u016bsmas arhitekt\u016bra<\/h3>\n<p>Struktur\u0113jiet Power BI modeli ar skaidru datu sec\u012bbu:<\/p>\n<ol>\n<li><strong>Avota sl\u0101nis:<\/strong> Neapstr\u0101d\u0101ti projekta dati ar uzticam\u012bbas nov\u0113rt\u0113juma metadatiem<\/li>\n<li><strong>Apr\u0113\u0137ina sl\u0101nis:<\/strong> Nenoteikt\u012bbas izplat\u012b\u0161an\u0101s un riska kvantitat\u012bva noteik\u0161ana<\/li>\n<li><strong>P\u0101rvald\u012bbas sl\u0101nis:<\/strong> Automatiz\u0113ta noteikumu nov\u0113rt\u0113\u0161ana un iz\u0146\u0113mumu atz\u012bm\u0113\u0161ana<\/li>\n<li><strong>Prezent\u0101cijas sl\u0101nis:<\/strong> Inform\u0101cijas pane\u013ci un zi\u0146ojumi da\u017e\u0101d\u0101m ieinteres\u0113to personu vajadz\u012bb\u0101m<\/li>\n<\/ol>\n<h3>Atgriezenisk\u0101s saites cilpas<\/h3>\n<p>Izveidojiet meh\u0101nismus, lai laika gait\u0101 uzlabotu sist\u0113mu:<\/p>\n<ul>\n<li>Sal\u012bdziniet prognoz\u0113tos un faktiskos rezult\u0101tus, lai kalibr\u0113tu savus mode\u013cus.<\/li>\n<li>Izsekojiet, kuri p\u0101rvald\u012bbas noteikumi rada viltus pozit\u012bvus rezult\u0101tus, un piel\u0101gojiet robe\u017ev\u0113rt\u012bbas.<\/li>\n<li>Atjaunin\u0101t uzticam\u012bbas r\u0101d\u012bt\u0101jus, pamatojoties uz avotu v\u0113sturisko precizit\u0101ti.<\/li>\n<\/ul>\n<h2>\u012asteno\u0161anas ce\u013cvedis<\/h2>\n<p>Nem\u0113\u0123iniet izveidot visu uzreiz. \u0160eit ir aprakst\u012bta sec\u012bba, kas darbojas:<\/p>\n<h3>1. posms (1.-4. ned\u0113\u013ca): Pamati<\/h3>\n<ul>\n<li>Iestat\u012bt nenoteikt\u012bbas izplat\u012b\u0161anas pamatprincipus vienam projektam<\/li>\n<li>Defin\u0113t uzticam\u012bbas nov\u0113rt\u0113juma metodolo\u0123iju<\/li>\n<li>Ieviest tr\u012bs galvenos p\u0101rvald\u012bbas noteikumus<\/li>\n<\/ul>\n<h3>2. posms (5.-8. ned\u0113\u013ca): Papla\u0161in\u0101\u0161an\u0101s<\/h3>\n<ul>\n<li>Pievienot korel\u0101cijas model\u0113\u0161anu atkar\u012bgiem riskiem<\/li>\n<li>Automatiz\u0113t uzticam\u012bbas r\u0101d\u012bt\u0101ju apr\u0113\u0137inus<\/li>\n<li>Savienojiet p\u0101rvald\u012bbas br\u012bdin\u0101jumus ar Power Automate<\/li>\n<\/ul>\n<h3>3. posms (9.-12. ned\u0113\u013ca): Optimiz\u0101cija<\/h3>\n<ul>\n<li>\u012astenot atgriezenisk\u0101s saites cilpas un mode\u013ca kalibr\u0113\u0161anu<\/li>\n<li>Pievienojiet prognoz\u0113jo\u0161o anal\u012btiku agr\u012bnai riska noteik\u0161anai<\/li>\n<li>M\u0113roga m\u0113rogs vair\u0101kos projektos un portfe\u013cos<\/li>\n<\/ul>\n<h2>Secin\u0101jums<\/h2>\n<p>Risku p\u0101rvald\u012bba nav saist\u012bta ar skaistu inform\u0101cijas pane\u013cu veido\u0161anu vai atbilst\u012bbas kontrolsarakstu iev\u0113ro\u0161anu. Runa ir par t\u0101du sist\u0113mu izveidi, kas sniedz prec\u012bzu un izmantojamu inform\u0101ciju, kad ir j\u0101pie\u0146em l\u0113mumi.<\/p>\n<p>M\u016bsu izkl\u0101st\u012bt\u0101 kvantitat\u012bv\u0101 riska sist\u0113ma - nenoteikt\u012bbas izplat\u012b\u0161an\u0101s, uzticam\u012bbas r\u0101d\u012bt\u0101ji un p\u0101rvald\u012bba k\u0101 kods - nov\u0113r\u0161 galvenos tradicion\u0101lo pieeju tr\u016bkumus:<\/p>\n<ul>\n<li>T\u0101 aizst\u0101j subjekt\u012bvus riska nov\u0113rt\u0113jumus ar matem\u0101tiskiem mode\u013ciem.<\/li>\n<li>T\u0101 \u0146em v\u0113r\u0101, k\u0101 riski pastiprin\u0101s un mijiedarbojas.<\/li>\n<li>T\u0101 nosaka l\u0113mumu svar\u012bgumu, pamatojoties uz datu kvalit\u0101ti.<\/li>\n<li>T\u0101 automatiz\u0113 atkl\u0101\u0161anu un rea\u0123\u0113\u0161anu<\/li>\n<\/ul>\n<p>Esam nov\u0113roju\u0161i, ka \u0161\u012b pieeja samazina projektu neveiksmju r\u0101d\u012bt\u0101jus par 40-60% da\u017e\u0101d\u0101s nozar\u0113s. At\u0161\u0137ir\u012bba nav instrumentos - t\u0101 ir sistem\u0101tisk\u0101 dom\u0101\u0161ana par nenoteikt\u012bbu un p\u0101rvald\u012bbu.<\/p>\n<p>J\u016bsu projekti ir p\u0101r\u0101k svar\u012bgi, lai tos p\u0101rvald\u012btu ar min\u0113jumiem un ikm\u0113ne\u0161a san\u0101ksm\u0113m. Izveidojiet sist\u0113mas, kas darbojas autom\u0101tiski, agr\u012bni atkl\u0101j probl\u0113mas un dod jums p\u0101rliec\u012bbu veikt liel\u0101kas likmes.<\/p>\n<p>Matem\u0101tika vairs nav oblig\u0101ta. Vai nu j\u016bs pareizi kvantitat\u012bvi nov\u0113rt\u0113jat risku, vai ar\u012b risks kvantitat\u012bvi nov\u0113rt\u0113 j\u016bs.<\/p>","protected":false},"excerpt":{"rendered":"<p>Liel\u0101k\u0101 da\u013ca riska sist\u0113mu ir boj\u0101tas. T\u0101s pa\u013caujas tikai uz kr\u0101sain\u0101m matric\u0101m un iek\u0161\u0113j\u0101m saj\u016bt\u0101m, kam\u0113r j\u016bsu bizness zaud\u0113 miljonus neveiksm\u012bgos projektos. Esam veidoju\u0161i riska sist\u0113mas Fortune 500 uz\u0146\u0113mumu sarakst\u0101 iek\u013cautiem uz\u0146\u0113mumiem un nov\u0113roju\u0161i vienu un to pa\u0161u likumsakar\u012bbu: komandas veido skaistas inform\u0101cijas pane\u013cus, kas izskat\u0101s iespaid\u012bgi, bet nesp\u0113j atbild\u0113t uz vienu svar\u012bgu jaut\u0101jumu - \"K\u0101da ir re\u0101l\u0101 ... <\/p>","protected":false},"author":2,"featured_media":13440,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-13931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","latest_post"],"_links":{"self":[{"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/posts\/13931","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/comments?post=13931"}],"version-history":[{"count":5,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/posts\/13931\/revisions"}],"predecessor-version":[{"id":13949,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/posts\/13931\/revisions\/13949"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/media\/13440"}],"wp:attachment":[{"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/media?parent=13931"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/categories?post=13931"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/tags?post=13931"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}