{"id":12352,"date":"2026-06-08T13:06:55","date_gmt":"2026-06-08T11:06:55","guid":{"rendered":"https:\/\/www.it-dev.eu\/?post_type=all_services&#038;p=12352"},"modified":"2026-06-09T09:03:32","modified_gmt":"2026-06-09T07:03:32","slug":"analityka-predykcyjna-i-prognozowanie-na-microsoft-fabric","status":"publish","type":"all_services","link":"https:\/\/www.it-dev.eu\/pl\/wszystkie-uslugi\/analityka-predykcyjna-i-prognozowanie-na-microsoft-fabric\/","title":{"rendered":"Analityka predykcyjna i prognozowanie na Microsoft Fabric"},"content":{"rendered":"\n<div class=\"itdev-ai-design-fabric-analytics-forecasting\"><style>\n.itdev-ai-design-fabric-analytics-forecasting {\n  --itdev-accent: #e54218;\n  --itdev-text: #3d3c41;\n  --itdev-text-muted: #757678;\n  --itdev-text-soft: #a7a9ab;\n  --itdev-surface: #ffffff;\n  --itdev-surface-soft: #f9f9f9;\n  --itdev-surface-muted: #f6f6f6;\n  --itdev-border: #ededed;\n  --itdev-cta-top: #ff6b00;\n  --itdev-cta-bottom: #af0720;\n  --itdev-cta-deep: 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184, 0, 0.18), transparent 38%),\n    linear-gradient(180deg, #ffffff, #f7f7f8);\n  border: 1px solid rgba(61, 60, 65, 0.08);\n  box-shadow: var(--itdev-shadow-panel);\n}\n\n.itdev-ai-design-fabric-analytics-forecasting .design-cta-title {\n  margin-bottom: 8px;\n}\n\n.itdev-ai-design-fabric-analytics-forecasting .design-cta-body {\n  margin-bottom: 18px;\n  color: var(--itdev-text-muted);\n}\n\n.itdev-ai-design-fabric-analytics-forecasting .design-contact {\n  color: var(--itdev-text);\n}\n\n.itdev-ai-design-fabric-analytics-forecasting .design-contact p {\n  margin-top: 0;\n}\n\n@media (min-width: 720px) {\n  .itdev-ai-design-fabric-analytics-forecasting .design-card-grid {\n    grid-template-columns: repeat(2, minmax(0, 1fr));\n  }\n\n  .itdev-ai-design-fabric-analytics-forecasting .design-metrics {\n    grid-template-columns: repeat(2, minmax(0, 1fr));\n  }\n}\n<\/style>\n<div class=\"design-intro\">\n  <div class=\"design-eyebrow\">Microsoft Fabric i AI<\/div>\n  <h2 class=\"design-intro-title\">Przestajesz tylko raportowa\u0107 i zaczynasz <span class=\"accent\">przewidywa\u0107 kolejne ruchy biznesu<\/span><\/h2>\n  <p class=\"design-intro-lead\">Wdra\u017camy zaawansowan\u0105 analityk\u0119 i prognozowanie na Microsoft Fabric bez dok\u0142adania osobnej infrastruktury analitycznej. Modele predykcyjne, alerty i wyniki prognoz trafiaj\u0105 bezpo\u015brednio do Power BI, dzi\u0119ki czemu decydenci widz\u0105 nie tylko stan obecny, ale te\u017c najbardziej prawdopodobny kierunek zmian.<\/p>\n<\/div>\n<div class=\"design-copy\">\n  <p>W wielu organizacjach decyzje nadal opieraj\u0105 si\u0119 na \u015brednich historycznych, intuicji i r\u0119cznym wychwytywaniu problem\u00f3w po fakcie. To ogranicza mo\u017cliwo\u015b\u0107 planowania sprzeda\u017cy, zapas\u00f3w, produkcji i reagowania na anomali\u0119 zanim zacznie kosztowa\u0107.<\/p>\n  <p>Ta us\u0142uga porz\u0105dkuje warstw\u0119 predykcyjn\u0105 wok\u00f3\u0142 danych, kt\u00f3re firma ju\u017c posiada. Analizujemy jako\u015b\u0107 danych, dobieramy podej\u015bcie modelowe, budujemy prognozy oraz system wczesnego ostrzegania, a nast\u0119pnie osadzamy wyniki w raportach, z kt\u00f3rych zesp\u00f3\u0142 ju\u017c korzysta.<\/p>\n<\/div>\n<div class=\"design-highlight\">\n  <h3 class=\"design-highlight-title\">Najwi\u0119ksza warto\u015b\u0107 pojawia si\u0119 wtedy, gdy prognoza staje si\u0119 cz\u0119\u015bci\u0105 codziennych decyzji, a nie osobnym eksperymentem<\/h3>\n  <p class=\"design-highlight-body\">Celem nie jest pokazanie modelu dla samego modelu. Chodzi o przewidywanie popytu, poziomu zapas\u00f3w, anomalii p\u0142atniczych czy nietypowych odchyle\u0144 w takim miejscu, w kt\u00f3rym biznes podejmuje realne decyzje: bezpo\u015brednio w dashboardach i procesach operacyjnych.<\/p>\n<\/div>\n<div class=\"design-card-grid\">\n  <div class=\"design-card\">\n    <div class=\"design-icon\"><span class=\"itdev-ai-icon itdev-ai-icon--chart-multiple\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"1em\" height=\"1em\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\" focusable=\"false\">\n<path d=\"M19.9993 9.53713C19.9997 9.50986 19.9999 9.48255 20 9.4552V9.40194C19.9856 5.3115 16.6653 2 12.5715 2C12.5352 2 12.499 2.00026 12.4629 2.00078C12.2015 2.00452 12 2.22363 12 2.48506V9.5C12 9.77614 12.2239 10 12.5 10H19.515C19.7764 10 19.9955 9.79854 19.9993 9.53713ZM13.5 3.57229C16.0307 3.97035 18.0297 5.9694 18.4278 8.5H13.5V3.57229ZM9 10.5V5.68879C6.41263 6.35455 4.5 8.70439 4.5 11.5C4.5 14.8137 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18Z\"\/>\n<\/svg>\n<\/span><\/div>\n    <h3 class=\"design-card-title\">Model prognostyczny dopasowany do biznesu<\/h3>\n    <p class=\"design-card-body\">Budujemy prognozy sprzeda\u017cy, popytu, zapas\u00f3w lub innych kluczowych wska\u017anik\u00f3w na tej samej platformie, na kt\u00f3rej organizacja ju\u017c analizuje dane.<\/p>\n  <\/div>\n  <div class=\"design-card\">\n    <div class=\"design-icon\"><span class=\"itdev-ai-icon itdev-ai-icon--warning\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"1em\" height=\"1em\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\" focusable=\"false\">\n<path d=\"M9.13848 3.70711C10.3664 1.43126 13.6315 1.43104 14.8592 3.70711L21.6024 16.209C22.7697 18.374 21.2016 21.0014 18.742 21.002H5.25469C2.79486 21.0017 1.22681 18.3742 2.39433 16.209L9.13848 3.70711ZM13.5389 4.41902C12.8779 3.1935 11.119 3.19371 10.4578 4.41902L3.71464 16.921C3.08599 18.0867 3.93027 19.5017 5.25469 19.502H18.742C20.0661 19.5014 20.9105 18.0866 20.2821 16.921L13.5389 4.41902ZM11.9998 15.0001C12.5521 15.0001 12.9998 15.4478 12.9998 16.0001C12.9998 16.5523 12.5521 17.0001 11.9998 17.0001C11.4477 16.9999 10.9999 16.5522 10.9998 16.0001C10.9998 15.4479 11.4476 15.0002 11.9998 15.0001ZM11.9998 7.50007C12.414 7.50007 12.7498 7.83586 12.7498 8.25007V12.7501C12.7498 13.1642 12.414 13.5001 11.9998 13.5001C11.5857 13.4999 11.2499 13.1642 11.2498 12.7501V8.25007C11.2498 7.83593 11.5857 7.5002 11.9998 7.50007Z\"\/>\n<\/svg>\n<\/span><\/div>\n    <h3 class=\"design-card-title\">System wczesnego ostrzegania<\/h3>\n    <p class=\"design-card-body\">Wykrywamy anomalia, zatory p\u0142atnicze, podejrzane transakcje lub nietypowe odchylenia wcze\u015bniej, zanim stan\u0105 si\u0119 widoczne dopiero w podsumowaniach po fakcie.<\/p>\n  <\/div>\n  <div class=\"design-card\">\n    <div class=\"design-icon\"><span class=\"itdev-ai-icon itdev-ai-icon--database-search\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"1em\" height=\"1em\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\" focusable=\"false\">\n<path d=\"M4 6C4 5.30945 4.3153 4.70664 4.77423 4.22025C5.2294 3.73784 5.85301 3.33745 6.56668 3.01752C7.99575 2.3769 9.91738 2 12 2C14.0826 2 16.0042 2.3769 17.4333 3.01752C18.147 3.33745 18.7706 3.73784 19.2258 4.22025C19.6847 4.70664 20 5.30945 20 6V12.2572C19.5537 11.8886 19.0482 11.589 18.5 11.3749V8.39242C18.1791 8.61282 17.8194 8.80942 17.4333 8.98248C16.0042 9.6231 14.0826 10 12 10C9.91738 10 7.99575 9.6231 6.56668 8.98248C6.18063 8.80942 5.82094 8.61282 5.5 8.39242V18C5.5 18.2069 5.59044 18.4591 5.86525 18.7503C6.14382 19.0456 6.58195 19.3455 7.18027 19.6137C8.37519 20.1494 10.0786 20.5 12 20.5C12.2396 20.5 12.4759 20.4945 12.7081 20.484C13.3109 21.0579 14.0438 21.4964 14.858 21.7507C13.9673 21.9127 13.0023 22 12 22C9.91738 22 7.99575 21.6231 6.56668 20.9825C5.85301 20.6626 5.2294 20.2622 4.77423 19.7798C4.3153 19.2934 4 18.6906 4 18V6ZM5.5 6C5.5 6.20691 5.59044 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class=\"design-card-title\">Wyniki osadzone w Power BI<\/h3>\n    <p class=\"design-card-body\">Prognozy i alerty trafiaj\u0105 wprost do istniej\u0105cych dashboard\u00f3w, wi\u0119c decydenci nie musz\u0105 prze\u0142\u0105cza\u0107 si\u0119 do osobnych narz\u0119dzi ani budowa\u0107 nowego sposobu pracy z danymi.<\/p>\n  <\/div>\n  <div class=\"design-card\">\n    <div class=\"design-icon\"><span class=\"itdev-ai-icon itdev-ai-icon--sparkle\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"1em\" height=\"1em\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\" focusable=\"false\">\n<path d=\"M8.66535 15.7345C8.90969 15.9075 9.20192 15.9999 9.50129 15.9989V15.9949C9.78358 15.9955 10.0598 15.9132 10.2957 15.7582C10.5316 15.6031 10.7168 15.3822 10.8283 15.1229L11.4413 13.2589C11.5829 12.8366 11.8207 12.4531 12.1361 12.1386C12.4514 11.8241 12.8356 11.5873 13.2583 11.4469L15.0363 10.8689C15.3227 10.7683 15.5701 10.5799 15.7432 10.3305C15.9164 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15.3166 8.42102 15.5615 8.66535 15.7345ZM8.29129 11.4849C8.17979 11.3392 8.05851 11.2012 7.92829 11.0719H7.93129C7.44841 10.5886 6.85948 10.2247 6.21129 10.0089L4.61129 9.50089L6.22229 8.97689C6.85983 8.75615 7.43806 8.39176 7.91229 7.91189C8.38447 7.42897 8.74047 6.84487 8.95329 6.20389L9.46829 4.62189L9.98429 6.20889C10.1997 6.85585 10.5633 7.44351 11.0462 7.92497C11.529 8.40643 12.1177 8.76837 12.7653 8.98189L14.3843 9.50389L12.7953 10.0189C12.1489 10.2338 11.5616 10.5965 11.08 11.0782C10.5984 11.56 10.2359 12.1474 10.0213 12.7939L9.50629 14.3759L8.99129 12.7909C8.83406 12.3189 8.59732 11.8772 8.29129 11.4849ZM16.332 20.7819C16.1415 20.6461 15.9981 20.4541 15.922 20.2329L15.594 19.2259C15.5302 19.0344 15.4231 18.8602 15.281 18.7169C15.1385 18.574 14.9645 18.4664 14.773 18.4029L13.782 18.0799C13.5516 18.0026 13.3516 17.8541 13.211 17.6559C13.0737 17.4636 13.0002 17.2331 13.001 16.9969C13.0013 16.7591 13.0757 16.5274 13.214 16.3339C13.3512 16.1394 13.5466 15.9934 13.772 15.9169L14.778 15.5909C14.965 15.5245 15.1343 15.4162 15.273 15.2742C15.4117 15.1322 15.516 14.9604 15.578 14.7719L15.902 13.7799C15.9782 13.5557 16.1222 13.3606 16.3141 13.2218C16.5059 13.0829 16.7362 13.0071 16.973 13.0048C17.2099 13.0025 17.4416 13.0738 17.6361 13.2089C17.8306 13.344 17.9784 13.5362 18.059 13.7589L18.388 14.7729C18.4524 14.963 18.5599 15.1356 18.7022 15.2771C18.8445 15.4187 19.0176 15.5254 19.208 15.5889L20.2 15.9119C20.4287 15.9834 20.629 16.1251 20.7727 16.3169C20.9163 16.5086 20.9959 16.7408 21.0002 16.9803C21.0045 17.2199 20.9333 17.4547 20.7967 17.6516C20.6601 17.8484 20.4649 17.9972 20.239 18.0769L19.225 18.4059C19.0349 18.4707 18.8622 18.5781 18.72 18.7199C18.5777 18.8627 18.4705 19.0366 18.407 19.2279L18.085 20.2169C18.0075 20.4472 17.8586 20.6469 17.66 20.7869C17.468 20.9249 17.2375 20.9991 17.001 20.9989C16.7607 20.9989 16.5265 20.9229 16.332 20.7819ZM15.3014 16.999C15.6943 17.1386 16.051 17.3646 16.3452 17.6602C16.6394 17.956 16.8635 18.314 17.001 18.7079C17.1399 18.3158 17.3646 17.9597 17.6587 17.6656C17.9528 17.3715 18.3089 17.1468 18.701 17.0079C18.3026 16.8685 17.9406 16.6412 17.642 16.3429C17.3469 16.049 17.1217 15.6926 16.983 15.2999C16.8449 15.6898 16.6223 16.0444 16.3312 16.3383C16.0407 16.6316 15.689 16.8572 15.3014 16.999Z\"\/>\n<\/svg>\n<\/span><\/div>\n    <h3 class=\"design-card-title\">Scenariusze AI wykraczaj\u0105ce poza liczby<\/h3>\n    <p class=\"design-card-body\">Je\u015bli proces tego wymaga, rozwi\u0105zanie mo\u017ce obj\u0105\u0107 tak\u017ce klasyfikacj\u0119 obraz\u00f3w, analiz\u0119 audio lub monitoring wideo z wykorzystaniem us\u0142ug AI wskazanych w materiale \u017ar\u00f3d\u0142owym.<\/p>\n  <\/div>\n<\/div>\n<div class=\"design-copy\">\n  <h3>Co obejmuje wsp\u00f3\u0142praca<\/h3>\n  <p>Zaczynamy od jednego przypadku u\u017cycia, kt\u00f3ry ma czyteln\u0105 warto\u015b\u0107 biznesow\u0105. Taki model pozwala szybko zweryfikowa\u0107 sens wdro\u017cenia, a p\u00f3\u017aniej rozbudowywa\u0107 rozwi\u0105zanie o kolejne scenariusze bez uruchamiania osobnego programu data science.<\/p>\n<\/div>\n<div class=\"design-process\">\n  <div class=\"design-step\">\n    <div class=\"design-step-number\">1<\/div>\n    <div>\n      <h3 class=\"design-step-title\">Identyfikacja przypadku biznesowego<\/h3>\n      <p class=\"design-step-body\">Wsp\u00f3lnie wybieramy obszar, w kt\u00f3rym prognozowanie lub wykrywanie anomalii mo\u017ce przynie\u015b\u0107 szybk\u0105 i mierzaln\u0105 warto\u015b\u0107, na przyk\u0142ad sprzeda\u017c, p\u0142ynno\u015b\u0107, zapasy albo klasyfikacj\u0119 danych multimedialnych.<\/p>\n    <\/div>\n  <\/div>\n  <div class=\"design-step\">\n    <div class=\"design-step-number\">2<\/div>\n    <div>\n      <h3 class=\"design-step-title\">Ocena jako\u015bci danych i podej\u015bcia modelowego<\/h3>\n      <p class=\"design-step-body\">Sprawdzamy kompletno\u015b\u0107 danych, ich przydatno\u015b\u0107 do modelowania i dobieramy rozwi\u0105zanie, kt\u00f3re da si\u0119 osadzi\u0107 w istniej\u0105cym \u015brodowisku raportowym i operacyjnym.<\/p>\n    <\/div>\n  <\/div>\n  <div class=\"design-step\">\n    <div class=\"design-step-number\">3<\/div>\n    <div>\n      <h3 class=\"design-step-title\">Budowa, walidacja i integracja modelu<\/h3>\n      <p class=\"design-step-body\">Trenujemy model, walidujemy jego u\u017cyteczno\u015b\u0107 i umieszczamy prognozy oraz alerty w dashboardach Power BI, aby wynik by\u0142 gotowy do wykorzystania przez biznes.<\/p>\n    <\/div>\n  <\/div>\n  <div class=\"design-step\">\n    <div class=\"design-step-number\">4<\/div>\n    <div>\n      <h3 class=\"design-step-title\">Monitoring i dalszy rozw\u00f3j<\/h3>\n      <p class=\"design-step-body\">Po uruchomieniu rozwi\u0105zania mo\u017cna rozszerza\u0107 zakres o nowe scenariusze, prowadzi\u0107 dalsz\u0105 walidacj\u0119 modelu i planowa\u0107 kolejne etapy rozwoju.<\/p>\n    <\/div>\n  <\/div>\n<\/div>\n<div class=\"design-scope\">\n  <h3>Typowy zakres us\u0142ugi<\/h3>\n  <ul>\n    <li>model prognozuj\u0105cy sprzeda\u017c, popyt, zapasy lub inny istotny wska\u017anik biznesowy<\/li>\n    <li>alerty o anomaliach i zdarzeniach krytycznych osadzone w bie\u017c\u0105cym raportowaniu<\/li>\n    <li>dashboard Power BI z wynikami prognoz i sygna\u0142ami ostrzegawczymi<\/li>\n    <li>dokumentacja modelu oraz plan dalszej rozbudowy o nowe scenariusze<\/li>\n  <\/ul>\n<\/div>\n<div class=\"design-metrics\">\n  <div class=\"design-metric\">\n    <span class=\"design-metric-value\">15-25%<\/span>\n    <div class=\"design-metric-label\">redukcji nadmiernych zapas\u00f3w dzi\u0119ki prognozie zamiast planowania wy\u0142\u0105cznie intuicyjnego<\/div>\n  <\/div>\n  <div class=\"design-metric\">\n    <span class=\"design-metric-value\">Godziny zamiast dni<\/span>\n    <div class=\"design-metric-label\">dla wykrycia anomalii i zdarze\u0144 krytycznych<\/div>\n  <\/div>\n  <div class=\"design-metric\">\n    <span class=\"design-metric-value\">Sekundy zamiast godzin<\/span>\n    <div class=\"design-metric-label\">dla analizy zdj\u0119cia lub dokumentu w scenariuszach obj\u0119tych AI<\/div>\n  <\/div>\n  <div class=\"design-metric\">\n    <span class=\"design-metric-value\">0<\/span>\n    <div class=\"design-metric-label\">dodatkowych narz\u0119dzi ML poza jedn\u0105 platform\u0105 Fabric wed\u0142ug materia\u0142u \u017ar\u00f3d\u0142owego<\/div>\n  <\/div>\n<\/div>\n<div class=\"design-faq\">\n  <h3>Najcz\u0119stsze pytania<\/h3>\n  <div class=\"design-faq-item\">\n    <h3>Czy potrzebny jest w\u0142asny zesp\u00f3\u0142 data science<\/h3>\n    <p>Nie. Materia\u0142 \u017ar\u00f3d\u0142owy zak\u0142ada budow\u0119 modeli na wbudowanych komponentach ML w Microsoft Fabric, a zesp\u00f3\u0142 BI korzysta z gotowych wynik\u00f3w bez dok\u0142adania osobnego zestawu narz\u0119dzi.<\/p>\n  <\/div>\n  <div class=\"design-faq-item\">\n    <h3>Od czego najlepiej zacz\u0105\u0107<\/h3>\n    <p>Od jednego przypadku u\u017cycia o czytelnym zwrocie biznesowym, na przyk\u0142ad prognozy sprzeda\u017cy, wykrywania anomalii p\u0142atniczych albo klasyfikacji zdj\u0119\u0107. Najpierw potwierdzamy warto\u015b\u0107, potem skalujemy zakres.<\/p>\n  <\/div>\n  <div class=\"design-faq-item\">\n    <h3>Czy wyniki trafi\u0105 do istniej\u0105cych raport\u00f3w Power BI<\/h3>\n    <p>Tak. Prognozy i alerty s\u0105 osadzane bezpo\u015brednio w dashboardach Power BI, tak aby u\u017cytkownicy nie musieli uczy\u0107 si\u0119 nowego narz\u0119dzia tylko po to, by korzysta\u0107 z wyniku modelu.<\/p>\n  <\/div>\n  <div class=\"design-faq-item\">\n    <h3>Czy rozwi\u0105zanie mo\u017ce analizowa\u0107 zdj\u0119cia i nagrania<\/h3>\n    <p>Tak, je\u015bli taki scenariusz jest uzasadniony biznesowo. Materia\u0142 \u017ar\u00f3d\u0142owy wskazuje wykorzystanie Azure AI Vision i Azure AI Speech do klasyfikacji obraz\u00f3w, analizy audio i monitoringu wideo.<\/p>\n  <\/div>\n<\/div>\n<div class=\"design-cta\">\n  <h3 class=\"design-cta-title\">Sprawd\u017amy, kt\u00f3re dane w Twojej organizacji mog\u0105 zacz\u0105\u0107 pracowa\u0107 na przysz\u0142o\u015b\u0107<\/h3>\n  <p class=\"design-cta-body\">Opisz przypadek biznesowy, dane, kt\u00f3rymi ju\u017c dysponujesz, oraz decyzje, kt\u00f3re dzi\u015b opieraj\u0105 si\u0119 g\u0142\u00f3wnie na historii albo intuicji. Wr\u00f3cimy z propozycj\u0105 pierwszego, sensownego kroku predykcyjnego.<\/p>\n  <div class=\"design-contact\">\n    <div class=\"itdev-ai-contact-form itdev-ai-contact-form--general-contact\">\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f2375-o1\" lang=\"pl-PL\" dir=\"ltr\" data-wpcf7-id=\"2375\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/pl\/wp-json\/wp\/v2\/all_services\/12352#wpcf7-f2375-o1\" method=\"post\" class=\"wpcf7-form init\" aria-label=\"Formularz kontaktowy\" novalidate=\"novalidate\" data-status=\"init\">\n<fieldset class=\"hidden-fields-container\"><input type=\"hidden\" name=\"_wpcf7\" value=\"2375\" \/><input type=\"hidden\" name=\"_wpcf7_version\" value=\"6.1.6\" \/><input type=\"hidden\" name=\"_wpcf7_locale\" value=\"pl_PL\" \/><input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f2375-o1\" \/><input type=\"hidden\" name=\"_wpcf7_container_post\" value=\"0\" \/><input type=\"hidden\" name=\"_wpcf7_posted_data_hash\" value=\"\" \/><input type=\"hidden\" name=\"_wpcf7dtx_version\" value=\"5.0.6\" \/>\n<\/fieldset>\n<p><span class=\"wpcf7-form-control-wrap\" data-name=\"your-firstname\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required\" autocomplete=\"name\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Imi\u0119 i Nazwisko *\" value=\"\" type=\"text\" name=\"your-firstname\" \/><\/span>\n<\/p>\n<div class=\"container col-gap-40\">\n\t<div class=\"cell-gap-6 cell-gap-m-4 cell-gap-s-4\">\n\t\t<p><span class=\"wpcf7-form-control-wrap\" data-name=\"your-role\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text\" autocomplete=\"organization-title\" aria-invalid=\"false\" placeholder=\"Stanowisko\" value=\"\" type=\"text\" name=\"your-role\" \/><\/span>\n\t\t<\/p>\n\t<\/div>\n\t<div class=\"cell-gap-6 cell-gap-m-4 cell-gap-s-4\">\n\t\t<p><span class=\"wpcf7-form-control-wrap\" data-name=\"your-company\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text\" autocomplete=\"organization\" aria-invalid=\"false\" placeholder=\"Firma\" value=\"\" type=\"text\" name=\"your-company\" \/><\/span>\n\t\t<\/p>\n\t<\/div>\n<\/div>\n<div class=\"container col-gap-40\">\n\t<div class=\"cell-gap-6 cell-gap-m-4 cell-gap-s-4\">\n\t\t<p><span class=\"wpcf7-form-control-wrap\" data-name=\"your-email\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-email wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-email\" autocomplete=\"email\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Adres email *\" value=\"\" type=\"email\" name=\"your-email\" \/><\/span>\n\t\t<\/p>\n\t<\/div>\n\t<div class=\"cell-gap-6 cell-gap-m-4 cell-gap-s-4\">\n\t\t<p><span class=\"wpcf7-form-control-wrap\" data-name=\"your-phone\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-tel wpcf7-text wpcf7-validates-as-tel\" autocomplete=\"tel\" aria-invalid=\"false\" placeholder=\"Telefon\" value=\"\" type=\"tel\" name=\"your-phone\" \/><\/span>\n\t\t<\/p>\n\t<\/div>\n<\/div>\n<p><span class=\"wpcf7-form-control-wrap\" data-name=\"your-message\"><textarea cols=\"40\" rows=\"5\" maxlength=\"2000\" class=\"wpcf7-form-control wpcf7-textarea wpcf7-validates-as-required\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Wiadomo\u015b\u0107 *\" name=\"your-message\"><\/textarea><\/span>\n<\/p>\n<p><span class=\"wpcf7-form-control-wrap\" data-name=\"acceptance\"><span class=\"wpcf7-form-control wpcf7-acceptance\"><span class=\"wpcf7-list-item\"><label><input type=\"checkbox\" name=\"acceptance\" value=\"1\" aria-invalid=\"false\" \/><span class=\"wpcf7-list-item-label\">O\u015bwiadczam, \u017ce zapozna\u0142em si\u0119 z <a href=\"https:\/\/www.it-dev.eu\/pl\/regulamin\/\" target=\"_blank\" class=\"link\">Regulaminem<\/a> i akceptuj\u0119 jego tre\u015b\u0107.<\/span><\/label><\/span><\/span><\/span>\n<\/p>\n<span class=\"wpcf7-form-control-wrap post_id\" data-name=\"post_id\"><input type=\"hidden\" name=\"post_id\" class=\"wpcf7-form-control wpcf7-hidden wpcf7dtx wpcf7dtx-hidden\" aria-invalid=\"false\"><\/span>\n<span class=\"wpcf7-form-control-wrap path\" data-name=\"path\"><input type=\"hidden\" name=\"path\" class=\"wpcf7-form-control wpcf7-hidden wpcf7dtx wpcf7dtx-hidden\" aria-invalid=\"false\" value=\"\/pl\/wp-json\/wp\/v2\/all_services\/12352\"><\/span>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"utm_id\" \/>\n<span class=\"wpcf7-form-control-wrap c_utm_id\" data-name=\"c_utm_id\"><input type=\"hidden\" name=\"c_utm_id\" class=\"wpcf7-form-control wpcf7-hidden wpcf7dtx wpcf7dtx-hidden\" aria-invalid=\"false\"><\/span>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"utm_source\" \/>\n<span class=\"wpcf7-form-control-wrap c_utm_source\" data-name=\"c_utm_source\"><input type=\"hidden\" name=\"c_utm_source\" class=\"wpcf7-form-control wpcf7-hidden wpcf7dtx wpcf7dtx-hidden\" aria-invalid=\"false\"><\/span>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"utm_medium\" \/>\n<span class=\"wpcf7-form-control-wrap c_utm_medium\" data-name=\"c_utm_medium\"><input type=\"hidden\" name=\"c_utm_medium\" class=\"wpcf7-form-control wpcf7-hidden wpcf7dtx wpcf7dtx-hidden\" aria-invalid=\"false\"><\/span>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"utm_term\" \/>\n<span class=\"wpcf7-form-control-wrap c_utm_term\" data-name=\"c_utm_term\"><input type=\"hidden\" name=\"c_utm_term\" class=\"wpcf7-form-control wpcf7-hidden wpcf7dtx wpcf7dtx-hidden\" aria-invalid=\"false\"><\/span>\n<input class=\"wpcf7-form-control wpcf7-hidden\" value=\"\" type=\"hidden\" name=\"utm_content\" \/>\n<span class=\"wpcf7-form-control-wrap c_utm_content\" data-name=\"c_utm_content\"><input type=\"hidden\" name=\"c_utm_content\" class=\"wpcf7-form-control wpcf7-hidden wpcf7dtx wpcf7dtx-hidden\" aria-invalid=\"false\"><\/span>\n<div class=\"wpcf7-turnstile cf-turnstile\" data-sitekey=\"0x4AAAAAACC0VMSn1FLgpz2y\" data-response-field-name=\"_wpcf7_turnstile_response\" data-size=\"flexible\" data-theme=\"light\" data-language=\"pl\"><\/div>\n<p><input class=\"wpcf7-form-control wpcf7-submit has-spinner button glass\" type=\"submit\" value=\"Wy\u015blij\" \/>\n<\/p><div class=\"wpcf7-response-output\" aria-hidden=\"true\"><\/div>\n<\/form>\n<\/div>\n<\/div>\n  <\/div>\n<\/div>\n<\/div>\n","protected":false},"author":29,"featured_media":9361,"parent":0,"menu_order":10,"template":"","service_category":[86],"service_tag":[],"class_list":["post-12352","all_services","type-all_services","status-publish","has-post-thumbnail","hentry","service_category-uslugi"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - 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Modele predykcyjne, alerty i wyniki prognoz trafiaj\u0105 bezpo\u015brednio do Power BI, dzi\u0119ki czemu decydenci widz\u0105 nie tylko stan obecny, ale te\u017c najbardziej prawdopodobny kierunek zmian. W wielu organizacjach decyzje... 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