{"id":2060,"date":"2023-11-24T14:15:59","date_gmt":"2023-11-24T13:15:59","guid":{"rendered":"https:\/\/www.trusteddecisions.com\/uncategorized-lv\/ad-hoc-analize-riks-atru-lemumu-pienemsanai\/"},"modified":"2024-10-15T13:17:14","modified_gmt":"2024-10-15T11:17:14","slug":"ad-hoc-analize-riks-atru-lemumu-pienemsanai","status":"publish","type":"post","link":"https:\/\/www.trusteddecisions.com\/lv\/ad-hoc-analize-riks-atru-lemumu-pienemsanai\/","title":{"rendered":"Ad hoc anal\u012bze"},"content":{"rendered":"\n

Kas ir ad hoc anal\u012bze?<\/h2>\n\n

Ad hoc anal\u012bze ir uz vajadz\u012bb\u0101m balst\u012bts uz\u0146\u0113muma datu nov\u0113rt\u0113jums, lai atbild\u0113tu uz konkr\u0113tiem jaut\u0101jumiem, kas nav ietverti standarta zi\u0146ojumos<\/strong>.<\/p>\n\n

T\u0101s m\u0113r\u0137is ir pal\u012bdz\u0113t<\/strong> jums savlaic\u012bgi pie\u0146emt inform\u0113tus l\u0113mumus.<\/strong><\/p>\n\n

At\u0161\u0137ir\u012bba no standarta p\u0101rskatiem<\/h2>\n\n

At\u0161\u0137ir\u012bb\u0101 no standarta zi\u0146ojuma, kas sniedz regul\u0101ras, atk\u0101rtotas anal\u012bzes, ad hoc anal\u012bze ir elast\u012bga<\/strong> un piel\u0101gota konkr\u0113tai situ\u0101cijai<\/strong>. Tas sniedz atbildes uz konkr\u0113tiem jaut\u0101jumiem, kas p\u0101rsniedz standarta zi\u0146ojuma darb\u012bbas jomu, un t\u0101d\u0113j\u0101di sniedz inform\u0101ciju, kas ir b\u016btiska l\u0113mumu pie\u0146em\u0161anai.<\/p>\n\n

Noz\u012bme uz\u0146\u0113mumiem<\/h2>\n\n

Ad-hoc anal\u012bzes ir b\u016btisks r\u012bks, lai j\u016bs var\u0113tu \u0101tri rea\u0123\u0113t uz main\u012bg\u0101m situ\u0101cij\u0101m. Tie \u013cauj jums padzi\u013cin\u0101ti iedzi\u013cin\u0101ties datos un identific\u0113t mode\u013cus, tendences un novirzes, kuras standarta zi\u0146ojumos var\u0113tu palikt nepaman\u012btas. Tas \u013cauj \u0101tri pie\u0146emt pamatotus l\u0113mumus, pamatojoties uz datiem.<\/p>\n\n

\"\"<\/figure>\n\n

Ad hoc anal\u012b\u017eu noz\u012bme<\/h2>\n\n

Dinamisk\u0101 biznesa vid\u0113 \u013coti svar\u012bga ir sp\u0113ja \u0101tri rea\u0123\u0113t uz jaun\u0101m situ\u0101cij\u0101m un izaicin\u0101jumiem.<\/p>\n\n

\u0160aj\u0101 gad\u012bjum\u0101 ir j\u0101veic ad hoc anal\u012bze. Tie risina probl\u0113mu, kas saist\u012bta ar \u0101tru atbildi uz specifiskiem, bie\u017ei vien neparedz\u0113tiem jaut\u0101jumiem, kurus nevar aptvert standartiz\u0113tos zi\u0146ojumos.<\/p>\n\n

Piem\u0113ro\u0161ana situ\u0101cij\u0101<\/strong><\/p>\n\n

Tipisks piem\u0113rs ir negaid\u012btas p\u0101rdo\u0161anas apjoma sv\u0101rst\u012bbas. Standarta zi\u0146ojumos ir nor\u0101d\u012bta novirze, bet t\u0101s c\u0113lonis joproj\u0101m nav skaidrs. Ad hoc anal\u012bzes \u013cauj padzi\u013cin\u0101ti iedzi\u013cin\u0101ties datos, identific\u0113t likumsakar\u012bbas un sniegt atbildes, kas pal\u012bdz pie\u0146emt l\u0113mumus.<\/p>\n\n

Piem\u0113ro\u0161anas piem\u0113ri da\u017e\u0101d\u0101s uz\u0146\u0113muma jom\u0101s<\/strong><\/p>\n\n

    \n
  • Ad hoc anal\u012bze ir v\u0113rt\u012bga daudz\u0101s uz\u0146\u0113muma jom\u0101s.<\/li>\n\n\n\n
  • M\u0101rketing\u0101<\/strong> tie var pal\u012bdz\u0113t izprast konkr\u0113tu kampa\u0146u ietekmi.<\/li>\n\n\n\n
  • Finan\u0161u noda\u013c\u0101<\/strong> tie var pal\u012bdz\u0113t identific\u0113t neparastus izdevumu mode\u013cus.<\/li>\n\n\n\n
  • P\u0101rdo\u0161an\u0101<\/strong> tos var izmantot, lai izskaidrotu p\u0113k\u0161\u0146as izmai\u0146as p\u0101rdo\u0161anas r\u0101d\u012bt\u0101jos.<\/li>\n\n\n\n
  • Iesp\u0113jas ir daudzveid\u012bgas, un t\u0101s liecina par ad hoc anal\u012bzes nepiecie\u0161am\u012bbu un noz\u012bmi m\u016bsdienu uz\u0146\u0113m\u0113jdarb\u012bbas vid\u0113.<\/li>\n<\/ul>\n\n

    Ad hoc anal\u012bzes veik\u0161ana<\/h2>\n\n

    Process s\u0101kas ar konkr\u0113ta jaut\u0101juma formul\u0113\u0161anu<\/strong>. P\u0113c tam tiek mekl\u0113ti un analiz\u0113ti attiec\u012bgie dati<\/strong>. Procesa nosl\u0113gums ir rezult\u0101tu interpret\u0101cija<\/strong> un uz tiem balst\u012bts l\u0113mumu pie\u0146em\u0161anas process.<\/p>\n\n

    IT un tehnolo\u0123ijas<\/h3>\n\n

    IT un modernaj\u0101m tehnolo\u0123ij\u0101m ir b\u016btiska noz\u012bme ad hoc anal\u012bz\u0113s. T\u0101di r\u012bki k\u0101 Google Analytics<\/strong>, OLAP datub\u0101zes<\/strong> un lielo datu tehnolo\u0123ijas<\/strong> \u013cauj \u0101tri apstr\u0101d\u0101t un analiz\u0113t lielus datu apjomus.<\/p>\n\n

    Datu avotu un lielo datu izmanto\u0161ana<\/h3>\n\n

    Piek\u013cuve attiec\u012bgajiem datu avotiem ir b\u016btiska ad hoc anal\u012bz\u0113m. \u0160aj\u0101 gad\u012bjum\u0101 bie\u017ei vien tiek izmantoti lielie dati, jo tie nodro\u0161ina piek\u013cuvi pla\u0161ai un daudzveid\u012bgai inform\u0101cijai. P\u0113c tam \u0161os datu avotus var izmantot, lai atbild\u0113tu uz konkr\u0113to jaut\u0101jumu.<\/p>\n\n

    Ad hoc anal\u012bze un standarta zi\u0146ojumi<\/h2>\n\n

    At\u0161\u0137ir\u012bbas<\/h3>\n\n

    Standartiz\u0113tie p\u0101rskati nodro\u0161ina regul\u0101rus, gatavus p\u0101rskatus, kas pal\u012bdz uzraudz\u012bt visp\u0101r\u0113jo uz\u0146\u0113muma darb\u012bbu, savuk\u0101rt ad hoc anal\u012bze ir elast\u012bg\u0101ka un t\u0101s m\u0113r\u0137is ir atbild\u0113t uz konkr\u0113tiem, vienreiz\u0113jiem jaut\u0101jumiem.<\/p>\n\n

    Siner\u0123ijas<\/h3>\n\n

    Abi veidi viens otru papildina: lai gan standartiz\u0113tie p\u0101rskati nep\u0101rtraukti sniedz visp\u0101r\u012bgus uz\u0146\u0113m\u0113jdarb\u012bbas datus, ad hoc anal\u012bze \u013cauj g\u016bt dzi\u013c\u0101ku ieskatu, kad tas ir nepiecie\u0161ams.<\/p>\n\n

    Novirzes standartiz\u0113tajos zi\u0146ojumos var b\u016bt par iemeslu ad hoc anal\u012bzei.<\/p>\n\n

    Abi veicina pamatotu l\u0113mumu pie\u0146em\u0161anu uz\u0146\u0113mum\u0101.<\/p>\n\n

    Ad-hoc zi\u0146o\u0161anas r\u012bki:<\/h2>\n\n

    Ad-hoc p\u0101rskatu sagatavo\u0161ana, izmantojot Qlik, OLAP datub\u0101zes un Google Analytics<\/strong>.<\/h3>\n\n

    Da\u017e\u0101di r\u012bki, tostarp Qlik, OLAP datub\u0101zes un Google Analytics, ir v\u0113rt\u012bgi resursi ad hoc datu anal\u012bzes veik\u0161anai. OLAP datub\u0101zes pied\u0101v\u0101 iesp\u0113ju veikt liela datu apjoma daudzdimensiju anal\u012bzi, savuk\u0101rt Google Analytics pied\u0101v\u0101 specializ\u0113tu t\u012bmek\u013ca datu anal\u012bzi. \u0160o r\u012bku centr\u0101 ir Qlik – jaud\u012bga datu vizualiz\u0101cijas un atkl\u0101\u0161anas lietojumprogramma, kas nodro\u0161ina intuit\u012bvu saskarni ad hoc p\u0101rskatu un anal\u012bzes sagatavo\u0161anai.<\/p>\n\n

    \"\"<\/figure>\n\n

    Praktisks piem\u0113rs: Ad hoc anal\u012bzes izmanto\u0161ana<\/strong><\/h2>\n\n

    Gad\u012bjuma izp\u0113te:<\/strong><\/h3>\n\n

    Pie\u0146emsim, ka uz\u0146\u0113mums pamana p\u0113k\u0161\u0146as novirzes p\u0101rdo\u0161anas apjomos.<\/p>\n\n

    Standarta zi\u0146ojumos var par\u0101d\u012bt novirzi, bet t\u0101s c\u0113lonis joproj\u0101m nav skaidrs.<\/p>\n\n

    Tiek sagatavots ad hoc zi\u0146ojums, lai izp\u0113t\u012btu p\u0113k\u0161\u0146o p\u0101rdo\u0161anas apjoma kritumu.<\/p>\n\n

    Izaicin\u0101jumi, risin\u0101jumi un rezult\u0101ti<\/strong><\/h3>\n\n

    Izaicin\u0101jums ir izsij\u0101t datus un atpaz\u012bt likumsakar\u012bbas.<\/p>\n\n

    Lai padzi\u013cin\u0101ti analiz\u0113tu p\u0101rdo\u0161anas datus, tiek izmantoti ad hoc anal\u012bzes r\u012bki.<\/p>\n\n

    Izr\u0101d\u0101s, ka p\u0101rdo\u0161anas apjoma samazin\u0101jums ir saist\u012bts ar konkr\u0113tu produktu l\u012bniju. Pamatojoties uz \u0161iem konstat\u0113jumiem, uz\u0146\u0113mums tagad var veikt m\u0113r\u0137tiec\u012bgus pas\u0101kumus, lai risin\u0101tu \u0161o probl\u0113mu.<\/p>\n\n

    \"\"<\/figure>\n\n

    Secin\u0101jums: ad hoc anal\u012bzes iesp\u0113jas<\/strong><\/h2>\n\n

    Ad-hoc zi\u0146ojumiem ir svar\u012bga noz\u012bme negaid\u012btu uz\u0146\u0113m\u0113jdarb\u012bbas notikumu un par\u0101d\u012bbu at\u0161ifr\u0113\u0161an\u0101. Sp\u0113ja atbild\u0113t uz individu\u0101liem, situat\u012bviem jaut\u0101jumiem un t\u0101d\u0113j\u0101di g\u016bt ieskatu, kas p\u0101rsniedz standartiz\u0113to p\u0101rskatu robe\u017eas, ir iz\u0161\u0137iro\u0161s faktors j\u016bsu uz\u0146\u0113muma pan\u0101kumiem.<\/p>\n\n

    Ad hoc anal\u012bzes ne tikai \u013cauj atrast prec\u012bzas atbildes uz konkr\u0113tiem jaut\u0101jumiem, bet ar\u012b paver jaunas perspekt\u012bvas un sniedz noder\u012bgu ieskatu. Tie ir konkurences priek\u0161roc\u012bbu avots uz datiem balst\u012bt\u0101 ekonomik\u0101, jo \u013cauj g\u016bt dzi\u013c\u0101ku ieskatu un lab\u0101k izprast uz\u0146\u0113m\u0113jdarb\u012bbas dinamiku.<\/p>\n\n

    Ieskats n\u0101kotn\u0113<\/strong><\/p>\n\n

    Aizvien vair\u0101k t\u012bklot\u0101 pasaul\u0113, kur\u0101 datu apjoms nep\u0101rtraukti pieaug un uz\u0146\u0113m\u0113jdarb\u012bbas mode\u013ci past\u0101v\u012bgi main\u0101s, ad hoc anal\u012b\u017eu noz\u012bme turpin\u0101s pieaugt.<\/p>\n\n

    P\u0101reja uz uz datiem balst\u012btu l\u0113mumu pie\u0146em\u0161anu uz\u0146\u0113mumos palielina vajadz\u012bbu p\u0113c anal\u012btisk\u0101m sp\u0113j\u0101m, kas sp\u0113j elast\u012bgi, elast\u012bgi un \u0101tri rea\u0123\u0113t uz konkr\u0113tiem uz\u0146\u0113m\u0113jdarb\u012bbas jaut\u0101jumiem.<\/p>\n\n

    \u0145emot v\u0113r\u0101 tehnolo\u0123iju att\u012bst\u012bbu, kas past\u0101v\u012bgi paver jaunas anal\u012bzes iesp\u0113jas, un pieaugo\u0161\u0101s pras\u012bbas uz\u0146\u0113m\u0113jdarb\u012bbas pasaul\u0113, iesp\u0113jams, ka ad hoc anal\u012bzes n\u0101kotn\u0113 k\u013c\u016bs v\u0113l svar\u012bg\u0101kas. \u0160\u012b tendence uzsver nepiecie\u0161am\u012bbu izveidot uz datiem balst\u012btu l\u0113mumu pie\u0146em\u0161anas kult\u016bru un apg\u016bt prasmes un r\u012bkus efekt\u012bvai ad-hoc anal\u012bzei.<\/p>\n\n

    Rezum\u0113jot var teikt, ka ad hoc anal\u012bzes ir b\u016btiska veiksm\u012bgu uz\u0146\u0113m\u0113jdarb\u012bbas strat\u0113\u0123iju sast\u0101vda\u013ca \u0161odien un n\u0101kotn\u0113.<\/p>\n\n

    Tie nodro\u0161ina sp\u0113ju pie\u0146emt inform\u0113tus un savlaic\u012bgus l\u0113mumus strauji main\u012bgaj\u0101 uz\u0146\u0113m\u0113jdarb\u012bbas pasaul\u0113.<\/p>\n\n

    <\/p>\n","protected":false},"excerpt":{"rendered":"

    Kas ir ad hoc anal\u012bze? Ad hoc anal\u012bze ir uz vajadz\u012bb\u0101m balst\u012bts uz\u0146\u0113muma datu nov\u0113rt\u0113jums, lai atbild\u0113tu uz konkr\u0113tiem jaut\u0101jumiem, [\u2026]<\/span><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[48],"tags":[],"class_list":["post-2060","post","type-post","status-publish","format-standard","hentry","category-wiki"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/posts\/2060","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/comments?post=2060"}],"version-history":[{"count":2,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/posts\/2060\/revisions"}],"predecessor-version":[{"id":3897,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/posts\/2060\/revisions\/3897"}],"wp:attachment":[{"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/media?parent=2060"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/categories?post=2060"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/tags?post=2060"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}