{"id":14598,"date":"2026-03-09T17:48:24","date_gmt":"2026-03-09T16:48:24","guid":{"rendered":"https:\/\/www.leaplytics.de\/?p=14598"},"modified":"2026-03-06T17:51:13","modified_gmt":"2026-03-06T16:51:13","slug":"pmo-riska-parvaldiba-power-bi-ka-automobilu-rupniecibas-komandas-aizstaj-izklajlapu-haosu-ar-dzivu-riska-izlukosanu","status":"publish","type":"post","link":"https:\/\/www.leaplytics.de\/lv\/pmo-riska-parvaldiba-power-bi-ka-automobilu-rupniecibas-komandas-aizstaj-izklajlapu-haosu-ar-dzivu-riska-izlukosanu\/","title":{"rendered":"PMO riska p\u0101rvald\u012bba Power BI: k\u0101 automobi\u013cu nozares komandas aizst\u0101j izkl\u0101jlapu haosu ar re\u0101lu riska izl\u016bko\u0161anu"},"content":{"rendered":"

Lieto\u0161anas gad\u012bjums: Riska zi\u0146o\u0161ana PMO - Nozare: Instrumenti: LeapLytics riska matrica + luksofors Power BI<\/em><\/p>\n\n\n\n\n

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Probl\u0113ma: \u0161o san\u0101ksmi zina katrs PMO vad\u012bt\u0101js automobi\u013cu nozar\u0113<\/h2>\n\n\n\n\n

Ir ceturtdienas p\u0113cpusdiena. Koordin\u0101cijas komitejas san\u0101ksme notiks p\u0113c 90 min\u016bt\u0113m. Kaut kur uz j\u016bsu darbvirsmas ir tr\u012bs da\u017e\u0101das riska re\u0123istra versijas - viena no platformas in\u017eenierijas, otra no pieg\u0101d\u0101t\u0101ju integr\u0101cijas, tre\u0161\u0101 no programmas biroja - katra no t\u0101m ir cit\u0101di noform\u0113ta, katrai ir savas kr\u0101su konvencijas, un neviena no t\u0101m nav aktu\u0101la. J\u016bs t\u0113r\u0113jat 45 min\u016btes, lai konsolid\u0113tu tos slaidu prezent\u0101cij\u0101, kas b\u016bs novecojusi, pirms t\u0101 tiks prezent\u0113ta. Komiteja jaut\u0101, kuri riski ir palielin\u0101ju\u0161ies kop\u0161 pag\u0101ju\u0161\u0101 m\u0113ne\u0161a. J\u016bs apl\u0113s\u0101t. Vi\u0146i jaut\u0101, kuri projekta darba virzieni pa\u0161laik ir dzelteni un kuri - sarkani. J\u016bs p\u0101rlapojat slaidus atpaka\u013c. Nevienam telp\u0101 nav skaidra priek\u0161stata par visp\u0101r\u0113jo riska situ\u0101ciju. San\u0101ksme beidzas ar r\u012bc\u012bbas punktiem, lai \"saska\u0146otu riska defin\u012bcijas\" - atkal. T\u0101 nav datu probl\u0113ma. T\u0101 ir vizualiz\u0101cijas un darba pl\u016bsmas probl\u0113ma, un t\u0101 maks\u0101 autob\u016bves PMO komand\u0101m vair\u0101k laika un uzticam\u012bbas, nek\u0101 liel\u0101k\u0101 da\u013ca organiz\u0101ciju ofici\u0101li uzskaita.<\/p>\n\n\n\n\n

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K\u0101p\u0113c standarta r\u012bki nav piem\u0113roti PMO risku zi\u0146o\u0161anai<\/h2>\n\n\n\n\n

Liel\u0101k\u0101 da\u013ca automobi\u013cu nozares PMO komandu, veidojot riska zi\u0146ojumus, izmanto Excel vai Power BI vizualiz\u0101cijas iesp\u0113jas. Abi ir sapr\u0101t\u012bgi s\u0101kumpunkti - un abi saskaras ar vieniem un tiem pa\u0161iem struktur\u0101lajiem ierobe\u017eojumiem, tikl\u012bdz riska komunik\u0101cijas apjoms p\u0101rsniedz viena projekta vai viena anal\u012bti\u0137a robe\u017eas.<\/p>\n\n\n\n\n

1. Nav riska tenden\u010du v\u0113stures<\/h3>\n\n\n\n\n

Standarta Power BI vizualiz\u0101cija un uz Excel balst\u012bti riska re\u0123istri par\u0101da, kur ir riski. tagad<\/em>. Tie nepar\u0101da, kur tie bija pag\u0101ju\u0161aj\u0101 m\u0113nes\u012b, cik \u0101tri tie virz\u0101s uz priek\u0161u un kuri riski ir past\u0101v\u012bgi palielin\u0101ju\u0161ies vair\u0101ku p\u0101rskatu ciklu laik\u0101. PMO vad\u012bt\u0101jam, kas sniedz inform\u0101ciju vad\u012bbas komitejai, jaut\u0101jums \"vai \u0161is risks ir pasliktin\u0101jies?\" bie\u017ei vien ir svar\u012bg\u0101ks nek\u0101 \"k\u0101ds ir pa\u0161reiz\u0113jais rezult\u0101ts?\". - un viet\u0113jie r\u012bki nevar uz to atbild\u0113t bez iev\u0113rojama manu\u0101la darba. Risks, kas pirms trim m\u0113ne\u0161iem bija vid\u0113js un tagad ir augsts, b\u016btiski at\u0161\u0137iras no riska, kas visu laiku ir bijis augsts. Bez tenden\u010du redzam\u012bbas \u0161ie divi riski standarta p\u0101rskat\u0101 izskat\u0101s identiski.<\/p>\n\n\n\n\n

2. Nav kvadranta skata - un nav iedzi\u013cin\u0101\u0161an\u0101s taj\u0101<\/h3>\n\n\n\n\n

Riska p\u0101rvald\u012bb\u0101 vissvar\u012bg\u0101k\u0101 izpratne ir attiec\u012bba starp riska iesp\u0113jam\u012bbu un t\u0101 iesp\u0113jamo ietekmi. Dzimt\u0101 Power BI vizualiz\u0101cija - izkliedes diagrammas, sv\u012btru diagrammas, tabulas - to nevar att\u0113lot k\u0101 pien\u0101c\u012bgu riska matricas kvadrantu. To var aptuveni att\u0113lot, bet vizu\u0101l\u0101 valoda ir nepareiza: izkliedes diagramma nav riska karstuma karte, un ieinteres\u0113t\u0101s personas bez anal\u012btisk\u0101s apm\u0101c\u012bbas to nolas\u012bs nepareizi. V\u0113l svar\u012bg\u0101k ir tas, ka, pat ja j\u016bs izveidojat aptuvenu att\u0113lu, j\u016bs nevarat noklik\u0161\u0137in\u0101t uz kvadranta un padzi\u013cin\u0101ti izp\u0113t\u012bt atsevi\u0161\u0137us riskus, kas taj\u0101 atrodas. Starp riska p\u0101rskatu un pamat\u0101 eso\u0161o riska detaliz\u0101ciju nav interaktivit\u0101tes - tas noz\u012bm\u0113, ka katram turpm\u0101kajam jaut\u0101jumam joproj\u0101m ir nepiecie\u0161ams manu\u0101ls filtrs vai jauna slaida izveide.<\/p>\n\n\n\n\n

3. Nav konsekventa statusa sl\u0101\u0146a da\u017e\u0101dos projektos<\/h3>\n\n\n\n\n

Automobi\u013cu ra\u017eo\u0161anas programmas parasti ietver desmitiem paral\u0113lu darba pl\u016bsmu - platformas izstr\u0101di, pieg\u0101d\u0101t\u0101ju kvalifik\u0101ciju, homolog\u0101ciju, programmat\u016bras integr\u0101ciju, ra\u017eo\u0161anas uzs\u0101k\u0161anu. Katram darba pl\u016bsmai ir savi riska un statusa dati. Native Power BI nepied\u0101v\u0101 \u012bpa\u0161i izstr\u0101d\u0101tu vizu\u0101lu RAG (Red-Amber-Green) statusa att\u0113lo\u0161anu t\u0101d\u0101 veid\u0101, kas b\u016btu m\u0113rogojams vair\u0101kiem projektiem vienlaic\u012bgi un p\u0101rskat\u0101ms ar vienu acu uzmetienu. Bez struktur\u0113ta luksofora vizualiz\u0101cija<\/strong>, PMO komandas izmanto nosac\u012bjuma format\u0113\u0161anas hakerus vai kr\u0101sainas tabulas, kas saboj\u0101jas p\u0113c jebkuras datu mode\u013ca mai\u0146as un prasa manu\u0101lu uztur\u0113\u0161anu katr\u0101 atskai\u0161u cikl\u0101.<\/p>\n\n\n\n\n

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LeapLytics pieeja: Soli pa solim<\/h2>\n\n\n\n\n

L\u016bk, k\u0101 automobi\u013cu nozares PMO komandas parasti \u012bsteno struktur\u0113tu PMO risku p\u0101rvald\u012bba Power BI<\/strong> iestat\u012b\u0161ana, izmantojot LeapLytics riska matricu un luksofora vizualiz\u0101cijas - no datu savienojuma l\u012bdz vad\u012bbas komitejas prezent\u0101cijai.<\/p>\n\n\n

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  1. \n Savienojiet riska re\u0123istru ar Power BI.<\/strong>\n S\u0101kumpunkts ir j\u016bsu eso\u0161ie riska dati - neatkar\u012bgi no t\u0101, vai tie ir Excel, SharePoint sarakstos, iek\u0161\u0113j\u0101 projektu vad\u012bbas sist\u0113m\u0101 vai SQL datub\u0101z\u0113. Power BI standarta savienot\u0101ji apstr\u0101d\u0101 visus \u0161os datus bez migr\u0101cijas. Datu modelim nepiecie\u0161amas vismaz tr\u012bs slejas: riska apraksts, varb\u016bt\u012bbas r\u0101d\u012bt\u0101js un ietekmes r\u0101d\u012bt\u0101js. Liel\u0101kajai da\u013cai autob\u016bves nozares PMO komandu tas jau ir; jaut\u0101jums ir par to, vai tas ir konsekventi struktur\u0113ts vis\u0101s darba pl\u016bsm\u0101s, ko pal\u012bdz nodro\u0161in\u0101t iestat\u012b\u0161anas process.\n <\/li>\n
  2. \n Pievienojiet p\u0101rskatam LeapLytics riska matricas vizualiz\u0101ciju.<\/strong>\n Port\u0101ls LeapLytics riska matrica<\/a> ir sertific\u0113ts piel\u0101gots vizu\u0101lais risin\u0101jums, kas pieejams tie\u0161i no Microsoft AppSource. P\u0113c pievieno\u0161anas Power BI p\u0101rskatam j\u016bs varat kart\u0113t savus varb\u016bt\u012bbas un ietekmes laukus uz vizu\u0101l\u0101 p\u0101rskata as\u012bm. Matrica autom\u0101tiski att\u0113lo katru risku k\u0101 pozicion\u0113tu mar\u0137ieri pareizaj\u0101 kvadrant\u0101 - augstas ietekmes\/augstas varb\u016bt\u012bbas riski par\u0101d\u0101s aug\u0161\u0113j\u0101 labaj\u0101 kritiskaj\u0101 zon\u0101, zemas priorit\u0101tes riski - apak\u0161\u0113j\u0101 kreisaj\u0101 zon\u0101. Nav manu\u0101las pozicion\u0113\u0161anas, nav statisku att\u0113lu, kas noveco.\n <\/li>\n
  3. \n Iesp\u0113ja veikt padzi\u013cin\u0101tu izp\u0113ti no kvadranta l\u012bdz atsevi\u0161\u0137am riskam.<\/strong>\n Kad Risku matrica ir savienota ar datu modeli, noklik\u0161\u0137inot uz jebkura kvadranta, p\u0101r\u0113j\u0101 zi\u0146ojuma lapa tiek filtr\u0113ta, lai par\u0101d\u012btu tikai \u0161aj\u0101 zon\u0101 eso\u0161os riskus. Tas noz\u012bm\u0113, ka vad\u012bbas komitejas loceklis var noklik\u0161\u0137in\u0101t uz kritisk\u0101 kvadranta un uzreiz redz\u0113t tabulu ar konkr\u0113tiem riskiem, kas taj\u0101 atrodas - \u012bpa\u0161nieks, riska mazin\u0101\u0161anas statuss, p\u0113d\u0113jais atjaunin\u0101jums -, PMO vad\u012bt\u0101jam nav j\u0101p\u0101rsl\u0113dz slaidi vai j\u0101piem\u0113ro manu\u0101li filtri. \u0160\u012b mijiedarb\u012bba ir rakstur\u012bga Power BI filtru modelim, un tai nav nepiecie\u0161ama papildu konfigur\u0101cija.\n <\/li>\n
  4. \n Pievienojiet tenden\u010du izseko\u0161anu ar laika griez\u0113jiem.<\/strong>\n Struktur\u0113jot riska re\u0123istru t\u0101, lai taj\u0101 b\u016btu iek\u013cauta datuma sleja - pat vienk\u0101r\u0161s m\u0113ne\u0161a momentuz\u0146\u0113mums -, riska matricu var filtr\u0113t p\u0113c p\u0101rskata perioda. Tas sniedz riska tenden\u010du skat\u012bjumu, ko nevar nodro\u0161in\u0101t viet\u0113jie vizu\u0101lie l\u012bdzek\u013ci: j\u016bs varat par\u0101d\u012bt komitejai, k\u0101 kvadrantu sadal\u012bjums izskat\u012bj\u0101s janv\u0101r\u012b sal\u012bdzin\u0101jum\u0101 ar martu, kuri riski ir p\u0101rg\u0101ju\u0161i no dzintarkr\u0101sas uz sarkano un kuri iepriek\u0161 kritiskie riski ir veiksm\u012bgi mazin\u0101ti. Automobi\u013cu ra\u017eo\u0161anas programm\u0101m ar daudzgadu izstr\u0101des cikliem \u0161\u0101ds garengriezuma skats bie\u017ei vien ir v\u0113rt\u012bg\u0101kais p\u0101rvald\u012bbas rezult\u0101ts, ko PMO var sagatavot.\n <\/li>\n
  5. \n Darba pl\u016bsmas l\u012bme\u0146a statusa vizu\u0101lais sl\u0101nis luksofor\u0101.<\/strong>\n L\u012bdztekus riska matricai LeapLytics luksofora vizu\u0101l\u0101 inform\u0101cija<\/a> sniedz programmas l\u012bme\u0146a p\u0101rskatu par visiem akt\u012bvajiem darba virzieniem - platformu, pieg\u0101d\u0101t\u0101ju, programmat\u016bru, homolog\u0101ciju -, un katram no tiem tiek par\u0101d\u012bts RAG statuss, kas ieg\u016bts tie\u0161i no j\u016bsu datu mode\u013ca. At\u0161\u0137ir\u012bb\u0101 no nosac\u012bt\u0101s format\u0113\u0161anas uzmetumiem, luksofora vizu\u0101lais risin\u0101jums autom\u0101tiski atjaunin\u0101s, kad main\u0101s pamat\u0101 eso\u0161ie dati, un saglab\u0101 konsekventu vizu\u0101lo lo\u0123iku neatkar\u012bgi no t\u0101, cik daudz projektu ir darb\u012bbas jom\u0101. T\u0101 ir izstr\u0101d\u0101ta t\u0101, lai to var\u0113tu las\u012bt uz liela ekr\u0101na vad\u012bbas komitejas telp\u0101, nevis tikai anal\u012bti\u0137a kl\u0113pjdator\u0101.\n <\/li>\n
  6. \n Public\u0113jiet Power BI pakalpojum\u0101 un iestatiet datu atsvaidzin\u0101\u0161anu.<\/strong>\n Kad zi\u0146ojums ir izveidots, tas tiek public\u0113ts pakalpojum\u0101 Power BI Service un iepl\u0101nota autom\u0101tiska datu atjauno\u0161ana - katru dienu vai p\u0113c piepras\u012bjuma, ja riska re\u0123istrs tiek atjaunin\u0101ts nep\u0101rtraukti. Ieinteres\u0113t\u0101s personas tam var piek\u013c\u016bt, izmantojot p\u0101rl\u016bkprogrammu vai Power BI mobilo lietotni. Nav e-pasta pielikuma, nav versiju kontroles probl\u0113mu un neskaidr\u012bbu par \"jaun\u0101ko versiju\". Zi\u0146ojums, ko komiteja atver ceturtdienas p\u0113cpusdien\u0101, ir tas pats zi\u0146ojums, ko PMO vad\u012bt\u0101js izskat\u012bja taj\u0101 pa\u0161\u0101 r\u012bt\u0101.\n <\/li>\n<\/ol>\n\n\n\n
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    Kas main\u0101s PMO vad\u012bt\u0101ja ikdienas darb\u0101?<\/h2>\n\n\n\n\n

    P\u0101reja no statiskiem riska diapozit\u012bviem uz tie\u0161raidi projekta risku pane\u013ca vad\u012bbas panelis<\/strong> ne tikai ietaupa sagatavo\u0161an\u0101s laiku, bet ar\u012b maina sarunu par risku raksturu vad\u012bbas l\u012bmen\u012b.<\/p>\n\n\n\n\n

    Koordin\u0101cijas komitejas san\u0101ksmes k\u013c\u016bst \u012bs\u0101kas un m\u0113r\u0137tiec\u012bg\u0101kas.<\/strong> Ja riska statuss ir redzams visiem dal\u012bbniekiem pirms san\u0101ksmes s\u0101kuma, sesija no \"\u0161eit ir riska situ\u0101cija\" p\u0101riet uz \"\u0161eit ir tas, kas mums par to ir j\u0101izlemj\". PMO komandas zi\u0146o, ka ar riskiem saist\u012btos darba k\u0101rt\u012bbas jaut\u0101jumus, kuru izskat\u012b\u0161anai iepriek\u0161 bija nepiecie\u0161amas 30-40 min\u016btes, var izskat\u012bt 10-15 min\u016bt\u0113s, kad visi dal\u012bbnieki jau ir redz\u0113ju\u0161i paneli.<\/p>\n\n\n\n\n

    Riska eskal\u0101cija notiek \u0101tr\u0101k.<\/strong> Ja risks no vid\u0113ja k\u013c\u016bst vid\u0113js uz augstu, attiec\u012bg\u0101s ieinteres\u0113t\u0101s personas to uzreiz redz aktu\u0101laj\u0101 pane\u013ca r\u0101d\u012bt\u0101j\u0101, nevis n\u0101kamaj\u0101 m\u0113ne\u0161a zi\u0146ojum\u0101. Automobi\u013cu ra\u017eo\u0161anas programm\u0101s, kur viena pieg\u0101d\u0101t\u0101ja kvalifik\u0101cijas kav\u0113\u0161an\u0101s var ietekm\u0113t ra\u017eo\u0161anas grafiku, agr\u012bnai pieaugo\u0161o risku redzam\u012bbai ir izm\u0113r\u0101ma pak\u0101rtota v\u0113rt\u012bba.<\/p>\n\n\n\n\n

    PMO uzticam\u012bbu palielina konsekventa, audit\u0113jama zi\u0146o\u0161ana.<\/strong> Viens no past\u0101v\u012bgiem izaicin\u0101jumiem automobi\u013cu ra\u017eo\u0161anas nozares PMO funkcij\u0101m ir pier\u0101d\u012bt, ka riska zi\u0146o\u0161ana ir stingra un metodolo\u0123iski konsekventa visos projektos. Struktur\u0113ta Power BI riska matrica, kas balst\u012bta uz kop\u012bgu datu modeli ar standartiz\u0113tu varb\u016bt\u012bbas un ietekmes nov\u0113rt\u0113\u0161anu, nodro\u0161ina tie\u0161i \u0161\u0101du audit\u0113jam\u012bbu un \u013cauj viegli pier\u0101d\u012bt konsekvenci iek\u0161\u0113jam auditam vai \u0101r\u0113jiem programmu p\u0101rskat\u012bt\u0101jiem.<\/p>\n\n\n\n\n

    Saska\u0146\u0101 ar PMI riska p\u0101rvald\u012bbas prakses standarti<\/a>, efekt\u012bva sazi\u0146a ar ieinteres\u0113taj\u0101m person\u0101m par riskiem ir viena no visnepiln\u012bg\u0101k att\u012bst\u012btaj\u0101m sp\u0113j\u0101m uz projektiem balst\u012bt\u0101s organiz\u0101cij\u0101s. Tie\u0161raides interakt\u012bvais riska inform\u0101cijas panelis tie\u0161i nov\u0113r\u0161 \u0161o tr\u016bkumu, nevis mainot apkopotos datus, bet gan padarot tos pieejamus pareizajiem cilv\u0113kiem pareizaj\u0101 form\u0101t\u0101 un pareizaj\u0101 laik\u0101.<\/p>\n\n\n\n\n

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    BIE\u017dI UZDOTIE JAUT\u0100JUMI: Automobi\u013cu nozares PMO vad\u012bt\u0101ju bie\u017e\u0101k uzdotie jaut\u0101jumi<\/h2>\n\n\n\n\n

    M\u016bsu riska re\u0123istrs ir Excel programm\u0101, un to uztur pieci da\u017e\u0101di projektu vad\u012bt\u0101ji. Vai tas joproj\u0101m var darboties?<\/h3>\n\n\n\n\n

    J\u0101, ta\u010du iestat\u012b\u0161anas proces\u0101 tiks iek\u013cauts \u012bss datu izl\u012bdzin\u0101\u0161anas posms. Riska matricas vizu\u0101lajai versijai ir nepiecie\u0161ama konsekventa varb\u016bt\u012bbas un ietekmes nov\u0113rt\u0113\u0161ana visos ievades datos, kas noz\u012bm\u0113, ka pirms datu savieno\u0161anas ir j\u0101vienojas par vienotu skalu (piem\u0113ram, 1-5 ab\u0101m as\u012bm). Praks\u0113 \u0161\u012b saruna ir nov\u0113lota vairum\u0101 daudzu projektu PMO vid\u0113s neatkar\u012bgi no r\u012bkiem. Power BI iestat\u012bjums atkl\u0101j neatbilst\u012bbu un izveido piespiedu funkciju, lai to atrisin\u0101tu. Kad koplieto\u0161anas modelis ir ieviests, katrs projekta vad\u012bt\u0101js var atjaunin\u0101t savu Excel failu, un inform\u0101cijas panelis autom\u0101tiski atsvaidzin\u0101s.<\/p>\n\n\n\n\n

    Mums jau ir Power BI. Vai mums ir nepiecie\u0161ama IT iesaist\u012b\u0161an\u0101s, lai pievienotu piel\u0101gotus vizu\u0101lus?<\/h3>\n\n\n\n\n

    Liel\u0101kaj\u0101 da\u013c\u0101 organiz\u0101ciju, pievienojot sertific\u0113tu piel\u0101gotu vizu\u0101lo no Microsoft AppSource<\/a> nepiecie\u0161ama Power BI Admin piek\u013cuve vai vienreiz\u0113js apstiprin\u0101jums no j\u016bsu \u012brnieka administratora. LeapLytics vizualiz\u0101cijas ir Microsoft sertific\u0113tas, kas noz\u012bm\u0113, ka t\u0101s iziet standarta dro\u0161\u012bbas p\u0101rbaudi un parasti var tikt apstiprin\u0101tas \u0101tri. Kad tie ir apstiprin\u0101ti nomnieka l\u012bmen\u012b, jebkur\u0161 p\u0101rskatu autors j\u016bsu organiz\u0101cij\u0101 var tos izmantot bez papildu IT iesaistes.<\/p>\n\n\n\n\n

    Cik ilgs laiks ir nepiecie\u0161ams, lai no m\u016bsu pa\u0161reiz\u0113j\u0101 Excel riska re\u0123istra p\u0101rietu uz Power BI riska matricas paneli?<\/h3>\n\n\n\n\n

    Vienas programmas PMO ar pietiekami struktur\u0113tu risku re\u0123istru, re\u0101listisks apr\u0113\u0137ins ir divas l\u012bdz \u010detras dienas m\u0113r\u0137tiec\u012bgam iestat\u012b\u0161anas darbam, tostarp datu mode\u013ca saska\u0146o\u0161anai, vizu\u0101lajai konfigur\u0101cijai un s\u0101kotn\u0113jai ieinteres\u0113to personu p\u0101rbaudei. Vair\u0101ku programmu iestat\u012b\u0161ana ar mantotajiem datiem nekonsekventos form\u0101tos var aiz\u0146emt divas l\u012bdz tr\u012bs ned\u0113\u013cas. Kritiska atkar\u012bba ir nevis r\u012bki, bet gan dati: cik konsekventi j\u016bsu riska dati pa\u0161laik ir struktur\u0113ti da\u017e\u0101d\u0101s darba pl\u016bsm\u0101s, noteiks, cik daudz t\u012br\u012b\u0161anas b\u016bs nepiecie\u0161ams pirms pane\u013ca palai\u0161anas.<\/p>","protected":false},"excerpt":{"rendered":"

    Lieto\u0161anas gad\u012bjums: Riska zi\u0146o\u0161ana PMO - Nozare: Instrumenti: Probl\u0113ma: katrs PMO vad\u012bt\u0101js automobi\u013cu r\u016bpniec\u012bb\u0101 zina \u0161o san\u0101ksmi Ir ceturtdienas p\u0113cpusdiena. Vad\u012bbas komitejas san\u0101ksme notiks p\u0113c 90 min\u016bt\u0113m. Kaut kur uz j\u016bsu darbvirsmas ir tr\u012bs da\u017e\u0101das riska re\u0123istra versijas - viena no ... <\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-14598","post","type-post","status-publish","format-standard","hentry","category-news","latest_post"],"_links":{"self":[{"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/posts\/14598","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=14598"}],"version-history":[{"count":2,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/posts\/14598\/revisions"}],"predecessor-version":[{"id":14600,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/posts\/14598\/revisions\/14600"}],"wp:attachment":[{"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/media?parent=14598"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/categories?post=14598"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/tags?post=14598"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}