{"id":35832,"date":"2024-03-04T12:34:58","date_gmt":"2024-03-04T09:34:58","guid":{"rendered":"https:\/\/go-erp.eu\/?p=35832"},"modified":"2026-05-10T21:30:10","modified_gmt":"2026-05-10T18:30:10","slug":"nepamirskime-kad-turime-analitika","status":"publish","type":"post","link":"https:\/\/go-erp.eu\/lt\/nepamirskime-kad-turime-analitika\/","title":{"rendered":"Nepamir\u0161kime, kad turime verslo duomen\u0173 analitik\u0105"},"content":{"rendered":"\t\t
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Ai\u0161ki\u0173 taisykli\u0173 kur, kaip, bei kokie \u012fmon\u0117s duomenys kaupiami ir kas juos gali naudoti sprendimams priimti, n\u0117ra. Ta\u010diau tinkama verslo duomen\u0173 analitka labai palengvina ataskait\u0173 rengim\u0105 ir strukt\u016brizuot\u0105 duomen\u0173 kaupim\u0105. \u0160iame \u012fra\u0161e ap\u017evelgsime svarbiausias verslo duomen\u0173 analitkos ir strukt\u016brizavimo \u012fmon\u0117se strategijas, pagrindines naudas ir \u012ftak\u0105 sprendim\u0173 pri\u0117mimui.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Apie k\u0105 vert\u0117t\u0173 nepamir\u0161ti naudojant verslo duomen\u0173 analitik\u0105?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Kuo labiau strukt\u016brizuoti bus duomenys, tuo didesn\u0117s galimyb\u0117s bus juos analizuoti. Kas yra duomen\u0173 strukt\u016brizavimas:<\/p>

  1. Dimensijos verslo valdymo sistemoje suteiks galimyb\u0119 \u201catsipjauti\u201d duomenis pagal norimus pj\u016bvius. Neapkraukite verslo valdymo sistemos ataskaitomis, susid\u0117kite reikalingus po\u017eymius ir analizuokite Microsoft Power BI<\/a>.<\/li>
  2. I\u0161skaidyti laukai sistemoje leis grei\u010diau filtruoti norim\u0105 pj\u016bv\u012f. Nesura\u0161ykite viename lauke teksto, kuris v\u0117liau jums neleis surasti informacijos. Pavyzd\u017eiui, atskirtas miesto laukas, gatv\u0117s laukas bus grei\u010diau ir patogiau prieinamas analitikoje be papildomo programavimo.<\/li>
  3. Projektuojant naujus funkcionalumus, numatykite papildomus po\u017eymius, kurie jums gali pagelb\u0117ti verslo duomen\u0173 analitikoje. Pavyzd\u017eiui, vykdote skirtingo tipo projektus. Nor\u0117dami identifikuoti, kokio tipo tai projektas, i\u0161filtruokite duomenis pagal projekt\u0173 tip\u0105 ir suraskite j\u012f verslo duomen\u0173 analitikos programoje.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    Sistemingas duomen\u0173 rinkimas<\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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    Ne visada ir ne visi darbuotojai ai\u0161kiai suvokia svarbiausi\u0173 verslo duomen\u0173 analitikos prasm\u0119, tad vengia pildyti sistemoje reikiamus laukus. Darbuotojai gali nuspr\u0119sti tiesiog nevesti informacijos \u012f sistem\u0105.<\/p>

    1. Svarbiausius laukus padarykite privalomus u\u017epildyti, kad b\u016bt\u0173 matomas bendras verslo duomen\u0173 paveikslas.<\/li>
    2. Paai\u0161kinkite darbuotojams informacijos suvedimo svarb\u0105, kokius verslo sprendimus jie gali pad\u0117ti priimti ir kaip pagerins sprendim\u0173 pri\u0117mim\u0105.<\/li>
    3. Pagalvokite, kokie duomenys pad\u0117s suskai\u010diuoti KPI, metrikas. Galb\u016bt nor\u0117site pa\u017ei\u016br\u0117ti, kiek pardavim\u0173 sugeneruojama, kai vienas koleg\u0105 atveda klient\u0105 kitam kolegai. To nematysite, jei netur\u0117site galimyb\u0117s pa\u017eym\u0117ti cross-selling pardavim\u0173.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
      \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Verslo\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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      \u012evair\u016bs verslo duomen\u0173 \u0161altiniai<\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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      1. Apjunkite verslo veiklos duomenis i\u0161 skirting\u0173 \u0161altini\u0173 \u012f bendr\u0105 Power BI<\/a>\u00a0ataskait\u0105. Tai gali b\u016bti skirting\u0173 \u0161ali\u0173 informacija, skirting\u0173 format\u0173 informacij\u0105 (SQL DB, Excel, web svetain\u0117 ar kt.). Power BI leis surinkti ir strukt\u016brizuoti duomenis.<\/li>
      2. Atid\u017eiai sukurkite pavadinimus duomenims. Jei skirtingai pavadinote tuos pa\u010dius duomenis, tai apsunkins analitikos parengim\u0105 d\u0117l galimo informacijos dubliavimo.\u00a0<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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        Analitikos kult\u016bros svarba<\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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          \n
        1. Niekada nepervadinkite sen\u0173 sistemos lauk\u0173, visada kurkite nauj\u0105 lauk\u0105, taip i\u0161laikydami laukelio istorij\u0105. Pakeitus lauko pavadinim\u0105, visa informacija taps priri\u0161ta prie naujo lauko ir labai apsunkinsite analiz\u0119 galvodami, kad iki x dienos tas laukas tur\u0117jo kit\u0105 prasm\u0119.<\/li>\n
        2. Kurkite kompanijoje analitika paremt\u0105 kult\u016br\u0105. Da\u017enai kalbame emocijomis, o k\u0105 sako skai\u010diai?<\/li>\n<\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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          Norite susipa\u017einti su pa\u017eangia Power BI verslo duomen\u0173 analitika? Kreipkit\u0117s el. lai\u0161ku v.kudirkiene@go-erp.eu<\/a>, mes jums paskambinsime, suplanuosime nuotolin\u012f susitikim\u0105, kuris jums nieko nekainuos, bet pad\u0117s planuojant galimus analitikos suk\u016brimo kelius.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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          Power BI ataskaitas galite i\u0161bandyti ir \u010dia<\/a>:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

          \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\"Power\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

          Ai\u0161ki\u0173 taisykli\u0173 kur, kaip, bei kokie \u012fmon\u0117s duomenys kaupiami ir kas juos gali naudoti sprendimams priimti, n\u0117ra. Ta\u010diau tinkama verslo duomen\u0173 analitka labai palengvina ataskait\u0173 rengim\u0105 ir strukt\u016brizuot\u0105 duomen\u0173 kaupim\u0105. \u0160iame \u012fra\u0161e ap\u017evelgsime svarbiausias verslo duomen\u0173 analitkos ir strukt\u016brizavimo \u012fmon\u0117se strategijas, pagrindines naudas ir \u012ftak\u0105 sprendim\u0173 pri\u0117mimui. Apie k\u0105 vert\u0117t\u0173 nepamir\u0161ti naudojant verslo duomen\u0173 analitik\u0105? […]<\/p>\n","protected":false},"author":21,"featured_media":35845,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[],"tags":[],"class_list":["post-35832","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"yoast_head":"\nVerslo duomen\u0173 analitika - 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