{"id":798880,"date":"2022-09-03T11:00:13","date_gmt":"2022-09-03T11:00:13","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/veri-duzenleme-nedir-ve-izlenecek-adimlar\/"},"modified":"2022-09-03T11:00:13","modified_gmt":"2022-09-03T11:00:13","slug":"veri-duzenleme-nedir-ve-izlenecek-adimlar","status":"publish","type":"post","link":"https:\/\/qa-release.questionpro.com\/blog\/tr\/veri-duzenleme-nedir-ve-izlenecek-adimlar\/","title":{"rendered":"Veri D\u00fczenleme: Nedir ve \u0130zlenecek Ad\u0131mlar"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">G\u00fcn\u00fcm\u00fcz\u00fcn dijital \u00e7a\u011f\u0131nda, i\u015fletmeler \u00e7evrimi\u00e7i ortamda \u00e7ok b\u00fcy\u00fck hacimlerde veri elde etmektedir. Ham veriler verimli ve dikkatli bir \u015fekilde i\u015flenmelidir. Burada veri d\u00fczenleme devreye girer ve ham verilerin bilgilendirici sonu\u00e7lar sa\u011flayabilecek de\u011ferli verilere d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesine yard\u0131mc\u0131 olmak i\u00e7in kullan\u0131l\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Do\u011fru \u015fekilde yaparsan\u0131z, veri d\u00fczenleme yard\u0131m\u0131yla daha iyi i\u015f kararlar\u0131 verebilirsiniz. Burada veri d\u00fczenleme, ilgili ad\u0131mlar ve bununla birlikte gelen en iyi uygulamalar hakk\u0131nda bilgi edinebilirsiniz. Hadi ba\u015flayal\u0131m!<\/span><\/p>\n<div class=\"tags-wrap\">\n<p class=\"content-index\" style=\"margin-top: 0;\">\u0130\u00e7erik Dizini<\/p>\n<ol style=\"font-weight: 400; margin: 0 30px; line-height: 22px;\">\n<li><a href=\"#what_is_data_wrangling?\">Veri d\u00fczenleme nedir?<\/a><\/li>\n<li><a href=\"#benefits_of_data_wrangling?\">Veri d\u00fczenlemenin faydalar\u0131?<\/a><\/li>\n<li><a href=\"#necessary_steps_to_perform_data_wrangling\">Veri d\u00fczenleme ger\u00e7ekle\u015ftirmek i\u00e7in gerekli ad\u0131mlar<\/a><\/li>\n<li><a href=\"#data_wrangling_best_practices\">En iyi veri d\u00fczenleme uygulamalar\u0131<\/a><\/li>\n<li><a href=\"#conclusion\">Sonu\u00e7<\/a><\/li>\n<\/ol>\n<\/div>\n<h2 id=\"what_is_data_wrangling?\" class=\"blankurl\"><span style=\"font-weight: 400;\">Veri d\u00fczenleme nedir?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Veri d\u00fczenleme, ham veriyi yeniden d\u00fczenleyerek, temizleyerek ve zenginle\u015ftirerek daha i\u015flenmi\u015f bir \u015fekle d\u00f6n\u00fc\u015ft\u00fcrme s\u00fcrecidir. Veri d\u00fczenleme, verilerin \u00e7e\u015fitli formatlarda ve analizlerde i\u015flenmesini ve anlaml\u0131 i\u00e7g\u00f6r\u00fcler \u00fcretmek i\u00e7in ba\u015fka bir veri setiyle birle\u015ftirilmesini gerektirir. Belirli stratejiler, kulland\u0131\u011f\u0131n\u0131z verilere ve ula\u015fmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131z hedefe g\u00f6re de\u011fi\u015fir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A\u015fa\u011f\u0131da veri d\u00fczenleme \u00f6rnekleri verilmi\u015ftir:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Analiz i\u00e7in veri kaynaklar\u0131n\u0131n birle\u015ftirilmesi.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Veri bo\u015fluklar\u0131n\u0131n doldurulmas\u0131 veya kald\u0131r\u0131lmas\u0131.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Gereksiz veya ilgisiz proje verilerini silme.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Veri ayk\u0131r\u0131 de\u011ferlerinin belirlenmesi ve analize izin vermek i\u00e7in bunlar\u0131n a\u00e7\u0131klanmas\u0131 veya silinmesi.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Veri d\u00fczenleme manuel veya otomatik olarak yap\u0131labilir. Veri k\u00fcmeleri \u00e7ok b\u00fcy\u00fck oldu\u011funda, bunlar\u0131 otomatik olarak temizlemek \u00e7ok \u00f6nemlidir. Kapsaml\u0131 bir veri ekibine sahip i\u015fletmelerde verilerin d\u00fczenlenmesinden genellikle bir veri bilimci veya di\u011fer \u00f6zel ekip \u00fcyeleri sorumludur. Daha k\u00fc\u00e7\u00fck \u015firketler, kullanmadan \u00f6nce verilerini temizlemek i\u00e7in genellikle veri uzman\u0131 olmayan ki\u015filere g\u00fcvenmektedir.<\/span><\/p>\n<h2 id=\"benefits_of_data_wrangling?\" class=\"blankurl\"><span style=\"font-weight: 400;\">Veri d\u00fczenlemenin faydalar\u0131?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Verilerin d\u00fczenlenmesi faydal\u0131d\u0131r. Ne kadar faydal\u0131 olaca\u011f\u0131n\u0131 d\u00fc\u015f\u00fcnd\u00fc\u011f\u00fcn\u00fczde, bunu anlamak i\u00e7in \u00e7aba sarf etmeye zaman ay\u0131rmaya de\u011fece\u011fi a\u00e7\u0131kt\u0131r. A\u015fa\u011f\u0131da, veri d\u00fczenlemenin i\u015fletmeniz i\u00e7in sa\u011flayabilece\u011fi baz\u0131 faydalar yer almaktad\u0131r:<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>Basit analiz:<\/b><span style=\"font-weight: 400;\"> \u0130\u015f analistleri ve payda\u015flar, ham veriler ehlile\u015ftirilip d\u00f6n\u00fc\u015ft\u00fcr\u00fcld\u00fckten sonra en karma\u015f\u0131k verileri bile h\u0131zl\u0131, verimli ve etkili bir \u015fekilde inceleyebilir.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Veri i\u015fleme:<\/b><span style=\"font-weight: 400;\">  Prosed\u00fcr ham, yap\u0131land\u0131r\u0131lmam\u0131\u015f verileri sat\u0131rlara ve s\u00fctunlara d\u00f6n\u00fc\u015ft\u00fcr\u00fcr. Bu teknik, daha derin bir anlay\u0131\u015f elde etmek i\u00e7in verileri zenginle\u015ftirir.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Geli\u015ftirilmi\u015f hedefleme:<\/b><span style=\"font-weight: 400;\"> \u00c7e\u015fitli kaynaklardan gelen verileri birle\u015ftirmek, hedef kitlenizi daha iyi anlaman\u0131za yard\u0131mc\u0131 olarak reklam kampanyalar\u0131n\u0131z\u0131n ve i\u00e7erik stratejinizin hedeflemesini iyile\u015ftirir.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Zaman kullan\u0131m\u0131:<\/b><span style=\"font-weight: 400;\"> Bu teknik, analistlerin d\u00fczensiz verileri y\u00f6netmek i\u00e7in daha az zaman harcamas\u0131na ve anla\u015f\u0131lmas\u0131 kolay verilere dayal\u0131 do\u011fru kararlar almak i\u00e7in i\u00e7g\u00f6r\u00fc elde etmeye daha fazla zaman ay\u0131rmas\u0131na olanak tan\u0131r.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Veri g\u00f6rselle\u015ftirme:<\/b><span style=\"font-weight: 400;\"> Veriler, d\u00fczenlendikten sonra s\u0131ralamak, analiz etmek ve \u00f6zetlemek i\u00e7in herhangi bir g\u00f6rsel analitik platformuna aktar\u0131labilir.<\/span><\/li>\n<\/ul>\n<h2 id=\"necessary_steps_to_perform_data_wrangling\" class=\"blankurl\"><span style=\"font-weight: 400;\">Veri d\u00fczenleme ger\u00e7ekle\u015ftirmek i\u00e7in gerekli ad\u0131mlar<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Her veri projesi, nihai veri setinin g\u00fcvenilir ve kullan\u0131labilir olmas\u0131n\u0131 garanti alt\u0131na almak i\u00e7in farkl\u0131 bir stratejiye ihtiya\u00e7 duyar. Bunlar s\u0131kl\u0131kla gerekli veri d\u00fczenleme a\u015famalar\u0131 veya faaliyetleri olarak adland\u0131r\u0131l\u0131r.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Ad\u0131m 1: Ke\u015fif<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Ke\u015fif s\u00fcreci, veri d\u00fczenleme s\u00fcrecinin ilk ad\u0131m\u0131d\u0131r. Bu, verilerin daha iyi anla\u015f\u0131lmas\u0131na y\u00f6nelik bir ad\u0131md\u0131r. Verilerinizin kullan\u0131m\u0131n\u0131 ve analizini kolayla\u015ft\u0131rmak i\u00e7in, verilere bakmal\u0131 ve verilerin nas\u0131l d\u00fczenlenmesini istedi\u011finizi d\u00fc\u015f\u00fcnmelisiniz.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Veriler, ke\u015fif s\u00fcreci s\u0131ras\u0131nda e\u011filimler veya modeller g\u00f6sterebilir. Bu \u00e7ok \u00f6nemli bir ad\u0131md\u0131r \u00e7\u00fcnk\u00fc sonraki t\u00fcm eylemleri etkileyecektir. Ayr\u0131ca, eksik veya tamamlanmam\u0131\u015f de\u011ferler gibi bariz sorunlar\u0131 da tan\u0131mlar.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Ad\u0131m 2: Yap\u0131land\u0131rma<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">\u00c7o\u011fu zaman, eksik veya yanl\u0131\u015f bi\u00e7imlendirilmi\u015f ham veriler ama\u00e7lanan hedef i\u00e7in uygun de\u011fildir. \u0130\u015flenmemi\u015f verilerin al\u0131nmas\u0131 ve daha kolay kullan\u0131labilecek \u015fekilde d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesi i\u015flemi veri yap\u0131land\u0131rma olarak bilinir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu, yeni verilerden ilgili bilgileri \u00e7\u0131karma y\u00f6ntemidir. Veriler, s\u00fctunlar, s\u0131n\u0131flar, ba\u015fl\u0131klar vb. eklenerek bir elektronik tabloda yap\u0131land\u0131r\u0131labilir. Bu, analistin analizinde kolayca kullanabilmesi i\u00e7in kullan\u0131labilirli\u011fi art\u0131racakt\u0131r.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Ad\u0131m 3: Temizlik<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Verilerin temizlenmesi, analizinizi \u00e7arp\u0131tabilecek veya kullan\u0131\u015fl\u0131l\u0131\u011f\u0131n\u0131 azaltabilecek k\u00f6kle\u015fmi\u015f kusurlar\u0131n ortadan kald\u0131r\u0131lmas\u0131n\u0131 i\u00e7erir. Veri temizleme veya d\u00fczeltme, analiz i\u00e7in nihai verilerin etkilenmemesini sa\u011flamay\u0131 ama\u00e7lar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ham veriler genellikle kullan\u0131lmadan \u00f6nce temizlenmesi gereken hatalar i\u00e7erir. Veri temizleme, ayk\u0131r\u0131 de\u011ferlerin d\u00fczeltilmesini, k\u00f6t\u00fc verilerin silinmesini vb. i\u00e7erir. Verileri temizlerken a\u015fa\u011f\u0131daki sonu\u00e7lar\u0131 elde edersiniz:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><a href=\"https:\/\/usqa.questionpro.com\/blog\/what-is-data-analysis\/\">Veri analizi<\/a> sonu\u00e7lar\u0131n\u0131 sapt\u0131rabilecek ayk\u0131r\u0131 de\u011ferleri ortadan kald\u0131r\u0131r.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Kaliteyi ve tutarl\u0131l\u0131\u011f\u0131 art\u0131rmak i\u00e7in veri t\u00fcr\u00fcn\u00fc de\u011fi\u015ftirir ve verileri basitle\u015ftirir.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Yinelenen de\u011ferleri bulur, yap\u0131sal sorunlar\u0131 ortadan kald\u0131r\u0131r ve kullan\u0131m\u0131 kolayla\u015ft\u0131rmak i\u00e7in verileri do\u011frular.<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400;\">Ad\u0131m 4: Zenginle\u015ftirme<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Verilere ba\u011flam eklemek, zenginle\u015ftirme ile kastedilen \u015feydir. Bu i\u015flem, \u00f6nceden temizlenmi\u015f ve bi\u00e7imlendirilmi\u015f verileri yeni t\u00fcrlere d\u00f6n\u00fc\u015ft\u00fcr\u00fcr. Bu noktada, halihaz\u0131rda sahip oldu\u011funuz bilgilerden en iyi \u015fekilde yararlanmak i\u00e7in stratejik bir planlama yapman\u0131z gerekir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A\u015fa\u011f\u0131 \u00f6rnekleme, yukar\u0131 \u00f6rnekleme ve ard\u0131ndan veriyi art\u0131rma, veriyi en rafine haliyle elde etmenin en iyi yoludur. Zenginle\u015ftirmenin gerekli oldu\u011funu d\u00fc\u015f\u00fcn\u00fcyorsan\u0131z, elde etti\u011finiz ek veriler i\u00e7in y\u00f6ntemleri tekrarlaman\u0131z gerekecektir. Verilerin zenginle\u015ftirilmesi ad\u0131m\u0131 iste\u011fe ba\u011fl\u0131d\u0131r. Halihaz\u0131rda sahip oldu\u011funuz veriler ihtiya\u00e7lar\u0131n\u0131z\u0131 kar\u015f\u0131lam\u0131yorsa, bu ad\u0131m\u0131 uygulayabilirsiniz.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Ad\u0131m 5: Do\u011frulama<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Verilerin do\u011fru, tutarl\u0131, g\u00fcvenli ve ger\u00e7ek olmas\u0131n\u0131 sa\u011flamak i\u00e7in tekrarlanan programlama ad\u0131mlar\u0131 gereklidir. Verilerinizin do\u011fru ve tutarl\u0131 olmas\u0131n\u0131 sa\u011flama s\u00fcreci veri do\u011frulama olarak bilinir. Bu ad\u0131m, d\u00fczeltilmesi gereken sorunlar\u0131 ortaya \u00e7\u0131karabilir veya verilerin analiz i\u00e7in haz\u0131r oldu\u011fu sonucuna varabilir.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Ad\u0131m 6: Yay\u0131nlama<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Yay\u0131nlama, veri d\u00fczenlemenin son ad\u0131m\u0131d\u0131r ve t\u00fcm s\u00fcrecin neyle ilgili oldu\u011funu g\u00f6sterir. Bu, yeni d\u00fczenlenmi\u015f verileri sizin ve di\u011fer payda\u015flar\u0131n kolayca bulabilece\u011fi ve kullanabilece\u011fi bir yere koymakla ilgilidir. Bilgiler yeni bir veri taban\u0131na eklenebilir. \u00d6nceki ad\u0131mlar\u0131 izledi\u011finiz s\u00fcrece, i\u00e7g\u00f6r\u00fcler, i\u015f raporlar\u0131 ve daha fazlas\u0131 i\u00e7in y\u00fcksek kaliteli verilere sahip olacaks\u0131n\u0131z.<\/span><\/p>\n<h2 id=\"data_wrangling_best_practices\" class=\"blankurl\"><span style=\"font-weight: 400;\">En iyi veri d\u00fczenleme uygulamalar\u0131<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Veri d\u00fczenleme i\u015flemini \u00e7e\u015fitli y\u00f6ntemlerle ger\u00e7ekle\u015ftirmek m\u00fcmk\u00fcnd\u00fcr. Y\u00f6ntemler, verilerin sunuldu\u011fu <a href=\"https:\/\/usqa.questionpro.com\/blog\/what-is-a-target-audience\/\">hedef kitleye<\/a> ba\u011fl\u0131 olarak farkl\u0131l\u0131k g\u00f6sterebilir. A\u015fa\u011f\u0131da, her ko\u015fulda ge\u00e7erli olan baz\u0131 tavsiye edilen uygulamalar\u0131n bir listesi yer almaktad\u0131r:<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Hedef kitlenizi daha iyi anlay\u0131n<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Veri d\u00fczenlemenin benzersiz ihtiya\u00e7lar\u0131 \u015firkete \u00f6zg\u00fcd\u00fcr. Verilere kimin eri\u015fece\u011fini ve analiz edece\u011fini ve ne elde etmeyi ama\u00e7lad\u0131klar\u0131n\u0131 belirlemek \u00e7ok \u00f6nemlidir. Bu \u015fekilde, hedef kitleniz hakk\u0131nda daha fazla bilgi edinmek i\u00e7in onlar hakk\u0131nda faydal\u0131 bilgiler edinebilirsiniz.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00d6rne\u011fin, mevcut m\u00fc\u015fterilerinizle ilgili t\u00fcm demografik bilgileri alabilirsiniz, b\u00f6ylece pazarlama ekibi reklamlar\u0131yla kimi hedefleyece\u011fini bilir.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Uygun verileri se\u00e7in<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Mesele \u00e7ok fazla veriye sahip olmak de\u011fil; mesele do\u011fru verilere sahip olmak. Bu nedenle veri se\u00e7imi \u00e7ok \u00f6nemlidir. Uygun verileri se\u00e7mek i\u00e7in baz\u0131 ipu\u00e7lar\u0131 a\u015fa\u011f\u0131da verilmi\u015ftir:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u00c7ok say\u0131da bo\u015f veya ayn\u0131 ya da tekrarlanan say\u0131lar i\u00e7eren verileri kullanmaktan ka\u00e7\u0131n\u0131n.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hesaplanm\u0131\u015f de\u011ferlerden uzak durun ve kayna\u011fa daha yak\u0131n olan verileri se\u00e7in.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bir dizi farkl\u0131 platformdan bilgi toplay\u0131n.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Verilere belirli filtreler uygulay\u0131n ve ard\u0131ndan gereksinimleri ve y\u00f6nergeleri kar\u015f\u0131layan bir konu se\u00e7in.<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400;\">Verileri anlay\u0131n<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Verilerin kurulu\u015funuzun y\u00f6neti\u015fim ilkeleri ve y\u00f6nergeleriyle nas\u0131l uyumlu oldu\u011funu anlaman\u0131z gerekir. A\u015fa\u011f\u0131daki \u00f6nemli ger\u00e7ekleri g\u00f6zlemleyin:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Veri, veritaban\u0131 ve dosya t\u00fcrleri hakk\u0131nda bilgi edinin.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">G\u00f6rselle\u015ftirme ara\u00e7lar\u0131n\u0131n sa\u011flad\u0131\u011f\u0131 \u00f6zellikleri kullanarak verilerin mevcut durumunu ke\u015ffedin.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Karakterizasyonu kullanarak veri kalitesi metrikleri olu\u015fturun.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Verilerin s\u0131n\u0131rlar\u0131 konusunda dikkatli olun.<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400;\">Yeni geli\u015ftirilen ara\u00e7 ve teknikleri benimsemek<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Her ge\u00e7en g\u00fcn yeni teknolojiler mevcut teknolojilerle birle\u015ftiriliyor ve kitleler geni\u015flemeye devam ediyor. Veri uzmanlar\u0131, verimli veri d\u00fczenleme hizmetleri sunmak i\u00e7in yeni ara\u00e7lara ve analitik teknolojisine uyum sa\u011flamal\u0131d\u0131r.<\/span><\/p>\n<h2 id=\"conclusion\" class=\"blankurl\"><span style=\"font-weight: 400;\">Sonu\u00e7<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Veri d\u00fczenleme, kullan\u0131c\u0131 deneyimlerini iyile\u015ftirmek i\u00e7in her g\u00fcn i\u015flenen b\u00fcy\u00fck miktarda veri nedeniyle son y\u0131llarda giderek daha \u00f6nemli hale geldi. G\u00fc\u00e7l\u00fc bir veri depolama sistemi ve veri d\u00fczenleme tekniklerine yap\u0131lan yat\u0131r\u0131mlar olmadan i\u015fletme zarar g\u00f6recektir. Bu makale sayesinde art\u0131k veri d\u00fczenleme ve ilgili s\u00fcre\u00e7ler hakk\u0131nda daha iyi bir anlay\u0131\u015fa sahip olmal\u0131s\u0131n\u0131z.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">QuestionPro&#8217;da, ara\u015ft\u0131rmac\u0131lar\u0131n g\u00f6revlerini ba\u015far\u0131yla tamamlamalar\u0131 i\u00e7in gereken t\u00fcm ara\u00e7lar\u0131 sa\u011fl\u0131yoruz. Verilerinizden en y\u00fcksek de\u011feri elde etmek i\u00e7in s\u00fcre\u00e7 boyunca size yol g\u00f6sterecektir.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/www.questionpro.com\/research-edition-survey-software\/\" target=\"_blank\" rel=\"noopener\"><br \/>\n  <button>DAHA FAZLA BI\u0307LGI\u0307 EDI\u0307NI\u0307N<\/button><br \/>\n<\/a>       <a href=\"https:\/\/www.questionpro.com\/a\/showEntry.do?classID=1053&amp;sourceRef=blog\" target=\"_blank\" rel=\"noopener\"><br \/>\n  <button>\u00dcCRETS\u0130Z DENEME<\/button><br \/>\n<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>G\u00fcn\u00fcm\u00fcz\u00fcn dijital \u00e7a\u011f\u0131nda, i\u015fletmeler \u00e7evrimi\u00e7i ortamda \u00e7ok b\u00fcy\u00fck hacimlerde veri elde etmektedir. Ham veriler verimli ve dikkatli bir \u015fekilde i\u015flenmelidir. [&hellip;]<\/p>\n","protected":false},"author":49,"featured_media":564662,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[1118],"tags":[],"class_list":{"0":"post-798880","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-arastirma-araclari-ve-uygulamalari","8":"entry"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Veri D\u00fczenleme: Nedir ve \u0130zlenecek Ad\u0131mlar | QuestionPro<\/title>\n<meta name=\"description\" content=\"Veri d\u00fczenleme, daha h\u0131zl\u0131 karar verme i\u00e7in ham verileri temizler, yap\u0131land\u0131r\u0131r ve zenginle\u015ftirir. 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