{"id":4020,"date":"2026-04-22T15:57:00","date_gmt":"2026-04-22T15:57:00","guid":{"rendered":"https:\/\/froskat.com\/the-role-of-big-data-in-modern-decision-making-real-impact-in-business\/"},"modified":"2026-04-22T15:57:59","modified_gmt":"2026-04-22T15:57:59","slug":"the-role-of-big-data-in-modern-decision-making-real-impact-in-business","status":"publish","type":"post","link":"https:\/\/froskat.com\/tr\/the-role-of-big-data-in-modern-decision-making-real-impact-in-business\/","title":{"rendered":"B\u00fcy\u00fck Verinin Modern Karar Alma S\u00fcre\u00e7lerindeki Rol\u00fc: \u0130\u015f D\u00fcnyas\u0131ndaki Ger\u00e7ek Etkisi"},"content":{"rendered":"

<\/p>\n

Bir bilgi y\u0131\u011f\u0131n\u0131 aras\u0131nda gezinmeyi ve tam da do\u011fru anda ihtiyac\u0131n\u0131z olan\u0131 bulmay\u0131 hayal edin. \u0130\u015fte ak\u0131ll\u0131 organizasyonlar i\u00e7in yeni ger\u00e7eklik bu.<\/p>\n

Kurulu\u015flar, verimlili\u011fi art\u0131rmak, rekabet g\u00fcc\u00fcn\u00fc korumak ve daha iyi \u00fcr\u00fcn ve hizmetler sunmak i\u00e7in b\u00fcy\u00fck verileri g\u00fcnl\u00fck olarak kullanmaktad\u0131r. Daha fazla \u015firket i\u015f kararlar\u0131nda b\u00fcy\u00fck verileri benimsedik\u00e7e, karar verme ortam\u0131 da d\u00f6n\u00fc\u015f\u00fcme u\u011framaktad\u0131r.<\/p>\n

Bu makale, b\u00fcy\u00fck verinin i\u015f kararlar\u0131n\u0131 nas\u0131l etkiledi\u011fine dair pratik yollar\u0131 a\u00e7\u0131kl\u0131yor, uygulanabilir ad\u0131mlar sunuyor ve veriyle \u00e7al\u0131\u015fan herkesin hemen kullanabilece\u011fi de\u011ferli sonu\u00e7lar ortaya koyuyor.<\/p>\n

<\/p>\n

B\u00fcy\u00fck Veriyi \u0130\u015fe D\u00f6n\u00fc\u015ft\u00fcrmek: Liderler \u0130\u00e7in Ger\u00e7ek D\u00fcnya Karar Verme Kurallar\u0131<\/h2>\n

Strateji veya operasyonlardan sorumlu her lider, h\u0131zla de\u011fi\u015fen sekt\u00f6rlerdeki ba\u015far\u0131l\u0131 \u015firketlerden elde edilen \u00f6zel b\u00fcy\u00fck veri karar kurallar\u0131n\u0131 uygulayarak bug\u00fcn sonu\u00e7lar\u0131n\u0131 iyile\u015ftirebilir.<\/p>\n

\u0130\u015f kararlar\u0131nda b\u00fcy\u00fck veriyi kullanarak, se\u00e7enekleri daha net hale getirebilir, sonu\u00e7lar\u0131 daha do\u011fru tahmin edebilir ve tahmine dayal\u0131 yakla\u015f\u0131mlar yerine kal\u0131plara dayal\u0131 kan\u0131tlar kullanarak daha ak\u0131ll\u0131ca eylemler ger\u00e7ekle\u015ftirebilirsiniz.<\/p>\n

\u00c7\u00f6z\u00fclmesi Gereken Ger\u00e7ek Sorunu Tan\u0131mlay\u0131n<\/h3>\n

\u00c7\u00f6z\u00fcmler aramaya ba\u015flamadan \u00f6nce durun ve pazar\u0131n\u0131zda tam olarak neyin de\u011fi\u015fti\u011fini yaz\u0131n. \u00d6rne\u011fin, "Bir b\u00f6lgede sat\u0131\u015f kaybediyoruz." \u0130\u015f kararlar\u0131 i\u00e7in daha fazla b\u00fcy\u00fck veri \u00e7ekmeden \u00f6nce fikir birli\u011fine var\u0131n.<\/p>\n

Sorunu belirledikten sonra, mevcut raporlar\u0131 inceleyin ve ilk izlenimlerinizi not edin. B\u00fcy\u00fck verileri i\u015f kararlar\u0131na dahil etti\u011finizde \u00f6ne \u00e7\u0131kan alanlar\u0131 (\u00f6rne\u011fin, geride kalan m\u00fc\u015fteri segmentleri gibi) vurgulay\u0131n.<\/p>\n

Bu yap\u0131land\u0131r\u0131lm\u0131\u015f ba\u015flang\u0131\u00e7, ekiplerin enerjilerini odaklamalar\u0131na, sapmalar\u0131 \u00f6nlemelerine ve i\u015f verilerinin rastgele i\u00e7g\u00f6r\u00fcler \u00fcretmek yerine belirli bir operasyonel soruyu yan\u0131tlamas\u0131na yard\u0131mc\u0131 olur.<\/p>\n

Sizi harekete ge\u00e7iren \u00f6l\u00e7\u00fctleri se\u00e7in.<\/h3>\n

"Kanal baz\u0131nda ortalama sipari\u015f de\u011feri" veya "bu \u00e7eyrekte yan\u0131t s\u00fcresindeki d\u00fc\u015f\u00fc\u015f" gibi harekete ge\u00e7meyi tetikleyen \u00f6l\u00e7\u00fctler se\u00e7in. Bunlar\u0131, ger\u00e7ek zamanl\u0131 veri ak\u0131\u015flar\u0131yla g\u00fcncellenen g\u00f6sterge panellerine yerle\u015ftirin.<\/p>\n

Her \u015feyi \u00f6l\u00e7mek yerine, sabit bir sinyal k\u00fcmesi \u00fczerinde anla\u015f\u0131n. \u00d6rne\u011fin, i\u015f kararlar\u0131nda b\u00fcy\u00fck verileri y\u00f6nlendiren her \u00f6l\u00e7\u00fcm i\u00e7in ye\u015fil veya k\u0131rm\u0131z\u0131 bir g\u00f6sterge ekleyin.<\/p>\n

Bu tetikleyici fakt\u00f6rleri ger\u00e7ek toplant\u0131larda g\u00fcnl\u00fck veya haftal\u0131k olarak g\u00f6zden ge\u00e7irin. Bu sayede herkes hangi rakamlar\u0131n de\u011fi\u015fti\u011fini ve \u015fu anda neden ayarlamalar yap\u0131lmas\u0131 gerekti\u011fini bilir.<\/p>\n\n\n\n\n\n\n\n\n\n
\u0130\u015flevsellik<\/th>\nB\u00fcy\u00fck Veri Arac\u0131<\/th>\nSonu\u00e7 \u00d6rne\u011fi<\/th>\n\u00d6nemli Noktalar<\/th>\n<\/tr>\n<\/thead>\n
Perakende Stoklar\u0131<\/td>\nTalep Tahmini Algoritmalar\u0131<\/td>\n35% stok fazlas\u0131 \u00fcr\u00fcn<\/td>\nG\u00fcnl\u00fck sat\u0131\u015f trendlerine g\u00f6re stok yenileme i\u015flemlerini otomatikle\u015ftirin ve israf\u0131 an\u0131nda en aza indirin.<\/td>\n<\/tr>\n
M\u00fc\u015fteri Hizmetleri<\/td>\nDuygu Analizi<\/td>\n20% ile \u015fikayetlerde azalma<\/td>\n\u0130\u015faretlenen konu\u015fmalar\u0131 her vardiyada g\u00f6zden ge\u00e7irin ve ger\u00e7ek geri bildirimlere g\u00f6re senaryolar\u0131 ayarlay\u0131n.<\/td>\n<\/tr>\n
Tedarik Zinciri<\/td>\nRota Optimizasyonu<\/td>\nDaha h\u0131zl\u0131 teslimat s\u00fcreleri<\/td>\nGecikmeleri azaltmak ve m\u00fc\u015fteri memnuniyetini art\u0131rmak i\u00e7in b\u00fcy\u00fck verileri kullanarak haftal\u0131k olarak yeni rota yollar\u0131n\u0131 test edin.<\/td>\n<\/tr>\n
Pazarlama<\/td>\nSegmentasyon Analiti\u011fi<\/td>\nDaha y\u00fcksek d\u00f6n\u00fc\u015f\u00fcm oranlar\u0131<\/td>\nE-posta kampanyalar\u0131n\u0131z\u0131 statik tahminler yerine canl\u0131 kullan\u0131c\u0131 verileriyle hedefleyin; listeleri ayl\u0131k olarak g\u00fcncelleyin.<\/td>\n<\/tr>\n
Finans<\/td>\nSahtekarl\u0131k Tespit Modelleri<\/td>\nAzalt\u0131lm\u0131\u015f risk maruziyeti<\/td>\n\u0130nceleme i\u00e7in anormallikleri i\u015faretleyin ve personeli veri ba\u011flam\u0131n\u0131 kullanarak uyar\u0131lar\u0131 do\u011frulamalar\u0131 konusunda e\u011fitin.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p>\n

Veri Toplamay\u0131 \u0130yile\u015ftirme: G\u00fcvenilir Sonu\u00e7lar \u0130\u00e7in G\u00fcvenilir Girdiler<\/h2>\n

Do\u011fru sonu\u00e7lar elde etmek isteyen liderler, y\u00fcksek kaliteli girdiler toplamaya odaklan\u0131rlar. \u0130\u015fletme kararlar\u0131nda kullan\u0131lan b\u00fcy\u00fck verilerin her bir s\u00fcreci, ancak g\u00fcnl\u00fck olarak beslenen veri ak\u0131\u015flar\u0131 kadar sa\u011flamd\u0131r.<\/p>\n

Do\u011frulama komut dosyalar\u0131n\u0131 bir g\u00fcvenlik \u00f6nlemi olarak kullan\u0131n. Bir \u00f6l\u00e7\u00fcmde ani bir art\u0131\u015f m\u0131 fark ettiniz? Veri y\u00f6netim sisteminizdeki otomatik kontrolleri kullanarak veri kayna\u011f\u0131n\u0131 ve zaman damgas\u0131n\u0131 takip edin.<\/p>\n

Verilere \u0130nsan Odakl\u0131 Yakla\u015f\u0131m\u0131 Koruyun<\/h3>\n

Algoritma \u00e7\u0131kt\u0131s\u0131n\u0131 insan de\u011ferlendirmesiyle e\u015fle\u015ftirin. \u00d6rne\u011fin, bir sa\u011fl\u0131k y\u00f6neticisi, o g\u00fcnk\u00fc personel yoklu\u011funu gerek\u00e7e g\u00f6stererek hasta kay\u0131tlar\u0131ndaki ani d\u00fc\u015f\u00fc\u015f\u00fc a\u00e7\u0131klamak i\u00e7in bir yorum ekliyor.<\/p>\n

Ekip toplant\u0131lar\u0131nda, "Model bunu i\u015faretledi, ancak manuel kay\u0131tlar farkl\u0131 \u015feyler s\u00f6yl\u00fcyor" gibi ifadeler yer almal\u0131d\u0131r. \u0130\u015fletme kararlar\u0131nda b\u00fcy\u00fck veri kullan\u0131m\u0131yla ilgili herhangi bir karar kesinle\u015fmeden \u00f6nce herkesin fikirlerini dile getirmesi te\u015fvik edilmelidir.<\/p>\n

    \n
  • Verilerdeki bo\u015fluklar\u0131 veya ani art\u0131\u015flar\u0131 tespit etmek i\u00e7in g\u00fcnl\u00fck otomatik veri kontrolleri ayarlay\u0131n; hatalar\u0131n pe\u015finden ko\u015fmaktan ka\u00e7\u0131nmak i\u00e7in harekete ge\u00e7meden \u00f6nce uyar\u0131lar\u0131 inceleyin.<\/li>\n
  • Test verilerini \u00fcretim verilerinden ay\u0131r\u0131n, b\u00f6ylece analizler demo senaryolar\u0131n\u0131 de\u011fil, m\u00fc\u015fteri ger\u00e7ekli\u011fini yans\u0131ts\u0131n ve kararlar ger\u00e7ek i\u015f faaliyetleriyle uyumlu olsun.<\/li>\n
  • Denetim i\u00e7in her bir girdi kayna\u011f\u0131n\u0131 saklay\u0131n, b\u00f6ylece ekibiniz bulgular\u0131 geriye d\u00f6n\u00fck olarak takip edebilir, \u00f6nyarg\u0131lar\u0131 tespit edebilir ve hatalar\u0131 gelecekteki b\u00fcy\u00fck veri tabanl\u0131 i\u015f kararlar\u0131nda trend haline gelmeden \u00f6nce d\u00fczeltebilir.<\/li>\n
  • Raporlar\u0131 inceleyen personeli de\u011fi\u015ftirerek farkl\u0131 bak\u0131\u015f a\u00e7\u0131lar\u0131 elde edin ve yaln\u0131zca tek bir g\u00f6z\u00fcn veya \u00f6nceli\u011fin yan\u0131lt\u0131c\u0131 olabilece\u011fi anormallikleri yakalay\u0131n.<\/li>\n
  • D\u00fczenli olarak "veri g\u00fcncelli\u011fi" kontrolleri planlay\u0131n; eski ak\u0131\u015flar\u0131 silin ve eski kal\u0131plara g\u00f6re hareket etmekten ka\u00e7\u0131nmak i\u00e7in ak\u0131\u015flar\u0131n g\u00fcncel oldu\u011fundan emin olun.<\/li>\n<\/ul>\n

    Bu kurallara uyarak, ekipler b\u00fcy\u00fck veriyi i\u015f kararlar\u0131nda kullanarak veri toplama a\u015famas\u0131ndan y\u00f6netim kurulu kararlar\u0131na kadar her ad\u0131mda hata riskini azalt\u0131rlar.<\/p>\n

    Uyumluluk i\u00e7in Denetim \u0130zini Otomatikle\u015ftirin<\/h3>\n

    Analiz ad\u0131mlar\u0131n\u0131 orijinal kaynaklara ba\u011flayan kay\u0131t tutma ara\u00e7lar\u0131ndan yararlan\u0131n; b\u00f6ylece d\u00fczenleyici kurumlar veya ortaklar bulgular\u0131n\u0131z\u0131 gecikmeden do\u011frulayabilirler.<\/p>\n

    \u0130\u015f kararlar\u0131nda b\u00fcy\u00fck veri kullan\u0131m\u0131, insanlar ve yaz\u0131l\u0131mlar varsay\u0131mlar\u0131 kontrol etti\u011finde, kaynaklar\u0131 inceledi\u011finde ve kan\u0131tlar\u0131 kolayca eri\u015filebilir formatlarda saklad\u0131\u011f\u0131nda kusursuz hale gelir.<\/p>\n

      \n
    • Veritaban\u0131 sorgular\u0131n\u0131n her birini izlemek i\u00e7in ger\u00e7ek zamanl\u0131 eri\u015fim kay\u0131tlar\u0131 uygulay\u0131n; bu, hangi veri noktalar\u0131n\u0131n kim taraf\u0131ndan \u00e7ekildi\u011fini veya d\u00fczenlendi\u011fini tam olarak kaydederek hesap verebilirli\u011fi te\u015fvik eder.<\/li>\n
    • Veri yap\u0131lar\u0131nda veya algoritmalarda meydana gelen de\u011fi\u015fiklikleri vurgulayan otomatik g\u00f6sterge panolar\u0131 olu\u015fturun; b\u00f6ylece kritik bir varsay\u0131m de\u011fi\u015fti\u011finde herkes h\u0131zl\u0131ca tepki verebilir.<\/li>\n
    • \u0130lgili ekiplerle de\u011fi\u015fiklik g\u00fcnl\u00fcklerini payla\u015f\u0131n, b\u00f6ylece insanlar istenmeyen yan etkileri fark edebilirler; \u00f6rne\u011fin, birisi filtrede de\u011fi\u015fiklik yapt\u0131ktan sonra bir \u00f6l\u00e7\u00fcm\u00fcn d\u00fc\u015fmesi gibi.<\/li>\n
    • Her hafta yay\u0131nlanan kritik raporlar\u0131n yedek kopyalar\u0131n\u0131 saklay\u0131n; b\u00f6ylece gelecekte bir sorun ortaya \u00e7\u0131kmas\u0131 ve i\u015f kararlar\u0131nda kullan\u0131lan \u00f6nemli b\u00fcy\u00fck verileri etkilemesi durumunda her zaman denetime uygun bir s\u00fcr\u00fcme sahip olursunuz.<\/li>\n
    • Veri taban\u0131ndan sonuca kadar \u00f6nemli bir karar\u0131 takip eden ve her ad\u0131m\u0131 netlik a\u00e7\u0131s\u0131ndan test eden, farkl\u0131 ekip liderlerinin kat\u0131l\u0131m\u0131yla \u00fc\u00e7 ayda bir g\u00f6zden ge\u00e7irme toplant\u0131lar\u0131 planlay\u0131n.<\/li>\n<\/ul>\n

      D\u00fczenli denetimler ve \u015feffaf s\u00fcre\u00e7ler, b\u00fcy\u00fck verilerin i\u015f kararlar\u0131nda nas\u0131l kullan\u0131ld\u0131\u011f\u0131na ve hem personele hem de ortaklara nas\u0131l a\u00e7\u0131kland\u0131\u011f\u0131na dair g\u00fcven olu\u015fturur.<\/p>\n

      <\/p>\n

      H\u0131zl\u0131 Geri Bildirim: Gecikmeden Anlay\u0131\u015ftan Eyleme<\/h2>\n

      Ger\u00e7ek zamanl\u0131 g\u00f6sterge panellerini operasyonel i\u015f ak\u0131\u015flar\u0131yla entegre eden ekipler, g\u00fcnl\u00fck b\u00fcy\u00fck veri tabanl\u0131 i\u015f kararlar\u0131 s\u00fcre\u00e7lerinde nelerin i\u015fe yarad\u0131\u011f\u0131n\u0131 ve acil m\u00fcdahale gerektiren yerleri an\u0131nda tespit edebiliyor.<\/p>\n

      Ayl\u0131k veya \u00fc\u00e7 ayl\u0131k \u00f6zetler yerine canl\u0131 verilere dayanan k\u0131sa g\u00fcncelleme d\u00f6ng\u00fcleri olu\u015fturarak de\u011fi\u015fen talebe, m\u00fc\u015fteri geri bildirimlerine veya risk olaylar\u0131na daha h\u0131zl\u0131 tepki verin.<\/p>\n

      Analiz ve Uygulama Aras\u0131ndaki Ba\u011flant\u0131y\u0131 G\u00fc\u00e7lendirin<\/h3>\n

      Bir pazarlama ekibi, kampanya lansman\u0131nda web sitesi hemen \u00e7\u0131kma oranlar\u0131nda ani bir art\u0131\u015f g\u00f6r\u00fcrse, an\u0131nda harekete ge\u00e7er; b\u00fcy\u00fck verilerden gelen geri bildirimleri i\u015f kararlar\u0131nda kullanarak o g\u00fcnk\u00fc reklamlar\u0131 veya a\u00e7\u0131l\u0131\u015f sayfalar\u0131n\u0131 de\u011fi\u015ftirir.<\/p>\n

      Sahadaki personel rutinlerini g\u00fcncelliyor: "Cuma g\u00fcnk\u00fc promosyonun ard\u0131ndan Pazartesi sat\u0131\u015flar\u0131 d\u00fc\u015ft\u00fc; bu haftaki analizde \u00f6nerilen arama senaryosunu deneyelim."<\/p>\n

      G\u00fcnl\u00fck toplant\u0131lar, herkesi g\u00fcncel ger\u00e7ekli\u011fe ba\u011flayan ve payla\u015f\u0131lan, somut rakamlar arac\u0131l\u0131\u011f\u0131yla kat\u0131l\u0131m\u0131 art\u0131ran "en son g\u00f6sterge tablosunda neler de\u011fi\u015fti?" konulu bir yuvarlak masa toplant\u0131s\u0131n\u0131 i\u00e7eriyor.<\/p>\n

      F\u0131rsatlar\u0131 \u00f6nceden tahmin etmek i\u00e7in k\u00fc\u00e7\u00fck ad\u0131mlar at\u0131n.<\/h3>\n

      Liderler, \u00e7eyrek b\u00fct\u00e7esinin tamam\u0131n\u0131 tek bir projeye yat\u0131rmak yerine, erken verilerden yararlanarak ba\u015far\u0131l\u0131 olan projeleri geni\u015fletmek i\u00e7in ayn\u0131 anda iki veya \u00fc\u00e7 k\u00fc\u00e7\u00fck versiyonu birden y\u00fcr\u00fct\u00fcyorlar.<\/p>\n

      Diyelim ki lojistik m\u00fcd\u00fcr\u00fc, ekibin kaynaklar\u0131n\u0131 \u00fc\u00e7 farkl\u0131 nakliye y\u00f6ntemine da\u011f\u0131t\u0131yor ve sadece bir haftal\u0131k takip sonucunda en uygun maliyetli se\u00e7ene\u011fe odaklan\u0131yor.<\/p>\n

      Bu d\u00f6ng\u00fc\u2014dene, \u00f6l\u00e7, uyarla\u2014ekipler b\u00fcy\u00fck verilerden elde edilen saha kan\u0131tlar\u0131n\u0131 i\u015f kararlar\u0131nda kullanarak \u00f6\u011frenip iyile\u015ftirmeler yapt\u0131k\u00e7a daha h\u0131zl\u0131 geli\u015fme sa\u011flar.<\/p>\n

      <\/p>\n

      \u0130leriye Y\u00f6nelik Ad\u0131mlar: Her Karar\u0131 Veriye Dayal\u0131 ve Uygulanabilir Hale Getirin<\/h2>\n

      \u0130\u015f kararlar\u0131nda b\u00fcy\u00fck veriyi kullanan ki\u015filer, ekiplerini yeniden \u015fekillendiriyor, israf\u0131 azalt\u0131yor, i\u00e7g\u00f6r\u00fclerini derinle\u015ftiriyor ve rakiplerinden \u00f6nce b\u00fcy\u00fcme fikirlerini tespit ediyor. Bu \u00f6zel al\u0131\u015fkanl\u0131klar, her sekt\u00f6rde ivme kazand\u0131r\u0131yor.<\/p>\n

      G\u00fcvenilir girdilerin, ger\u00e7ek geri bildirim d\u00f6ng\u00fclerinin ve \u015feffaf karar alma s\u00fcre\u00e7lerinin birle\u015fimi, liderlerin g\u00fcvenle hareket etmelerini sa\u011flar. Ak\u0131ll\u0131 kurulu\u015flar, m\u00fckemmel cevaplar\u0131 beklemek yerine bu rutinleri g\u00fcnl\u00fck olarak uygulayarak fayda sa\u011flarlar.<\/p>\n

      Bu hafta bir al\u0131\u015fkanl\u0131\u011f\u0131 deneyin: s\u0131k\u0131 denetim kay\u0131tlar\u0131, g\u00fcncel g\u00f6sterge panelleri veya daha k\u0131sa test d\u00f6ng\u00fcleri. \u0130\u015f kararlar\u0131nda b\u00fcy\u00fck verilere dayanan her ad\u0131m, kolayca takip edebilece\u011finiz ve a\u00e7\u0131klayabilece\u011finiz pratik kazan\u0131mlar sa\u011flar.<\/p>","protected":false},"excerpt":{"rendered":"

      \u0130\u015f kararlar\u0131nda b\u00fcy\u00fck verinin ger\u00e7ek etkisini ke\u015ffedin. Daha ak\u0131ll\u0131 se\u00e7imler, daha h\u0131zl\u0131 yan\u0131tlar ve \u00f6l\u00e7\u00fclebilir i\u015f kazan\u0131mlar\u0131 i\u00e7in somut ad\u0131mlar\u0131 ve uygulanabilir kurallar\u0131 \u00f6\u011frenin. Veri sadece teknoloji devleri i\u00e7in de\u011fil.<\/p>","protected":false},"author":3,"featured_media":4022,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","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":"","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":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","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":[4],"tags":[],"yoast_head":"\nThe Role of Big Data in Modern Decision Making: Real Impact in Business - Froskat<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/froskat.com\/tr\/the-role-of-big-data-in-modern-decision-making-real-impact-in-business\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Role of Big Data in Modern Decision Making: Real Impact in Business - Froskat\" \/>\n<meta property=\"og:description\" content=\"Unlock the real impact of big data in business decisions. 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