{"id":44097,"date":"2025-02-03T07:04:14","date_gmt":"2025-02-03T07:04:14","guid":{"rendered":"https:\/\/rezonant.com.tr\/?p=44097"},"modified":"2025-02-03T07:06:41","modified_gmt":"2025-02-03T07:06:41","slug":"task-mining-is-sureclerinde-verimlilik-firsatlarini-ortaya-cikarma","status":"publish","type":"post","link":"https:\/\/rezonant.com.tr\/index.php\/2025\/02\/03\/task-mining-is-sureclerinde-verimlilik-firsatlarini-ortaya-cikarma\/","title":{"rendered":"Task Mining: \u0130\u015f S\u00fcre\u00e7lerinde Verimlilik F\u0131rsatlar\u0131n\u0131 Ortaya \u00c7\u0131karma"},"content":{"rendered":"

G\u00fcn\u00fcm\u00fcz \u0130\u015f D\u00fcnyas\u0131nda Task Mining\u2019in Rol\u00fc<\/strong><\/p>

G\u00fcn\u00fcm\u00fcz i\u015f d\u00fcnyas\u0131nda verimlilik, sadece bir avantaj de\u011fil, s\u00fcrd\u00fcr\u00fclebilir ba\u015far\u0131 i\u00e7in bir zorunluluk haline geldi. \u015eirketlerin operasyonlar\u0131n\u0131 kesintisiz ve etkin bir \u015fekilde y\u00fcr\u00fctebilmesi, s\u00fcre\u00e7lerini derinlemesine anlamalar\u0131na ve optimize etmelerine ba\u011fl\u0131d\u0131r. S\u00fcre\u00e7 madencili\u011fi (process mining), i\u015fletmelerin ERP, CRM gibi sistemlerde kay\u0131tl\u0131 dijital izleri analiz ederek s\u00fcre\u00e7leri g\u00f6r\u00fcn\u00fcr k\u0131lmas\u0131n\u0131 sa\u011flar. Ancak s\u00fcre\u00e7lerin tamam\u0131 bu sistemlerde kay\u0131tl\u0131 de\u011fildir ve bir\u00e7ok g\u00f6rev, \u00e7al\u0131\u015fanlar\u0131n g\u00fcnl\u00fck operasyonlar\u0131nda manuel olarak ger\u00e7ekle\u015fir.<\/p>

\u0130\u015fte tam da bu noktada task mining devreye giriyor.<\/mark><\/p>

Task mining, \u00e7al\u0131\u015fanlar\u0131n masa\u00fcst\u00fc etkile\u015fimlerini analiz ederek (klavye tu\u015f vuru\u015flar\u0131, fare t\u0131klamalar\u0131, ekran ge\u00e7i\u015fleri vb.), g\u00f6r\u00fcnmeyen i\u015f s\u00fcre\u00e7lerini haritaland\u0131rmaya ve iyile\u015ftirme f\u0131rsatlar\u0131n\u0131 ke\u015ffetmeye olanak tan\u0131r. Tekrarlayan g\u00f6revleri, manuel i\u015f y\u00fck\u00fcn\u00fc ve otomasyona a\u00e7\u0131k alanlar\u0131 belirleyerek i\u015f s\u00fcre\u00e7lerinde b\u00fcy\u00fck kazan\u0131mlar sa\u011flar. \u0130\u015fletmeler i\u00e7in yal\u0131n, verimli ve s\u00fcrd\u00fcr\u00fclebilir bir operasyon yap\u0131s\u0131 kurma yolunda g\u00fc\u00e7l\u00fc bir ara\u00e7 sunar.<\/p>

Task Mining Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/strong><\/p>

G\u00fcn\u00fcm\u00fcz i\u015f d\u00fcnyas\u0131nda i\u015f s\u00fcre\u00e7lerini analiz etmek ve iyile\u015ftirmek i\u00e7in kullan\u0131lan geleneksel y\u00f6ntemler genellikle sistemlerde kay\u0131tl\u0131 veriler \u00fczerinden y\u00fcr\u00fct\u00fcl\u00fcr. Ancak, s\u00fcre\u00e7lerin b\u00fcy\u00fck bir k\u0131sm\u0131 ERP veya CRM gibi sistemler i\u00e7inde g\u00f6r\u00fcnmeyen, manuel i\u015flemlerle tamamlanan g\u00f6revlerden olu\u015fur. Bu noktada task mining, \u00e7al\u0131\u015fanlar\u0131n bilgisayar ba\u015f\u0131nda ger\u00e7ekle\u015ftirdi\u011fi t\u0131klamalar, veri giri\u015fleri, kopyalama, yap\u0131\u015ft\u0131rma ve uygulama ge\u00e7i\u015fleri gibi etkile\u015fimleri analiz ederek, s\u00fcre\u00e7lerdeki gizli darbo\u011fazlar\u0131 ve iyile\u015ftirme f\u0131rsatlar\u0131n\u0131 ortaya \u00e7\u0131kar\u0131r.<\/p>

Task mining s\u00fcreci, i\u015fletmelere ger\u00e7ek zamanl\u0131, detayl\u0131 ve kullan\u0131c\u0131 seviyesinde bir s\u00fcre\u00e7 g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc sunarak, verimlili\u011fi art\u0131rmak, maliyetleri d\u00fc\u015f\u00fcrmek ve otomasyonu desteklemek i\u00e7in g\u00fc\u00e7l\u00fc bir ara\u00e7 haline gelir. \u0130\u015fletmeler, \u00e7al\u0131\u015fanlar\u0131n\u0131n g\u00fcnl\u00fck operasyonlar\u0131n\u0131 objektif verilere dayal\u0131 olarak analiz edip gereksiz veya tekrarlayan ad\u0131mlar\u0131 belirleyerek s\u00fcre\u00e7lerini optimize etme f\u0131rsat\u0131 elde ederler.<\/p>

Task mining s\u00fcrecinin ba\u015far\u0131l\u0131 bir \u015fekilde uygulanabilmesi i\u00e7in veri toplama, analiz & modelleme ve iyile\u015ftirme & otomasyon olmak \u00fczere \u00fc\u00e7 temel ad\u0131mdan olu\u015fan yap\u0131 izlenir:<\/p>

\"\"<\/figure>

I. <\/strong>Veri Toplama: Dijital \u0130zlerin Anlamland\u0131r\u0131lmas\u0131<\/strong><\/p>

Task mining s\u00fcrecinin temel ta\u015f\u0131 \u00e7al\u0131\u015fanlar\u0131n bilgisayar etkile\u015fimlerinden elde edilen verilerdir. \u0130\u015f s\u00fcre\u00e7leri genellikle farkl\u0131 uygulamalar ve sistemler aras\u0131nda ger\u00e7ekle\u015fti\u011finden, task mining bu i\u015flemleri detayl\u0131 \u015fekilde takip ederek i\u015fleyi\u015fi haritaland\u0131r\u0131r.<\/p>

Bu a\u015famada toplanan veriler:<\/p>

  • \u00c7al\u0131\u015fanlar\u0131n fare t\u0131klamalar\u0131 ve klavye giri\u015fleri<\/li>\n\n
  • A\u00e7\u0131lan ve kullan\u0131lan uygulamalar, pencere ba\u015fl\u0131klar\u0131 ve ekran de\u011fi\u015fiklikleri<\/li>\n\n
  • Veri giri\u015fleri, kopyala-yap\u0131\u015ft\u0131r i\u015flemleri, form doldurma gibi manuel i\u015flemler<\/li>\n\n
  • Farkl\u0131 uygulamalar aras\u0131nda ge\u00e7i\u015f yapma s\u0131kl\u0131\u011f\u0131 ve s\u00fcreleri<\/li><\/ul>

    II. Veri Analizi ve Modelleme: S\u00fcre\u00e7leri G\u00f6r\u00fcn\u00fcr K\u0131lma<\/strong><\/p>

    Veri topland\u0131ktan sonra, task mining yaz\u0131l\u0131m\u0131 bu ham verileri analiz ederek i\u015f s\u00fcre\u00e7lerini haritaland\u0131r\u0131r ve s\u00fcre\u00e7 modelleri olu\u015fturur. Bu a\u015fama, i\u015fletmelerin ger\u00e7ek i\u015fleyi\u015fi planlanan s\u00fcre\u00e7lerle k\u0131yaslamas\u0131na ve gizli darbo\u011fazlar\u0131 tespit etmesine olanak tan\u0131r.<\/p>

    Bu a\u015famada yap\u0131lan i\u015flemler:<\/p>

    • \u00c7al\u0131\u015fanlar\u0131n g\u00f6revleri nas\u0131l tamamlad\u0131\u011f\u0131n\u0131 g\u00f6steren detayl\u0131 bir s\u00fcre\u00e7 haritas\u0131 \u00e7\u0131kar\u0131l\u0131r.<\/li>\n\n
    • Verimsiz ad\u0131mlar\u0131n belirlenir<\/li>\n\n
    • \u0130deal i\u015fleyi\u015f ile mevcut durum aras\u0131ndaki farklar analiz edilir<\/li>\n\n
    • Darbo\u011fazlar ve zaman kayb\u0131na yol a\u00e7an unsurlar belirlenir<\/li><\/ul>

      III. \u0130yile\u015ftirme ve Otomasyon: Verimlili\u011fi Maksimuma \u00c7\u0131karma<\/strong><\/p>

      Task mining analizi tamamland\u0131ktan sonra, i\u015fletmelerin elde etti\u011fi bulgular do\u011frultusunda s\u00fcre\u00e7 iyile\u015ftirme ve otomasyon f\u0131rsatlar\u0131 de\u011ferlendirilir.<\/p>

      Bu a\u015famada yap\u0131lan i\u015flemler:<\/p>

      • Gereksiz ad\u0131mlar\u0131n ortadan kald\u0131r\u0131l\u0131r ve \u00e7al\u0131\u015fanlar\u0131n fazladan zaman harcad\u0131\u011f\u0131 veya tekrarlayan g\u00f6revler iyile\u015ftirilir<\/li>\n\n
      • Tekrarlayan manuel i\u015flemler i\u00e7in \u00e7e\u015fitli otomasyon \u00e7\u00f6z\u00fcmleri devreye al\u0131n\u0131r<\/li>\n\n
      • S\u00fcre\u00e7lerin standart hale getirilmesi sa\u011flan\u0131r<\/li>\n\n
      • Task mining analizleri periyodik olarak tekrarlanarak s\u00fcre\u00e7ler s\u00fcrekli optimize edilir<\/li><\/ul>

        Gizlilik A\u00e7\u0131s\u0131ndan:<\/strong>
        Task mining ara\u00e7lar\u0131, veri toplama s\u00fcrecinde yaln\u0131zca belirlenen uygulamalar ve s\u00fcre\u00e7lere odaklan\u0131r<\/strong>. Ki\u015fisel ve hassas bilgiler, anonimle\u015ftirilerek veya filtrelenerek saklanmaz.<\/strong><\/mark><\/p>

        Sonu\u00e7: Task Mining ile S\u00fcre\u00e7lerinizi Daha Ak\u0131ll\u0131 Hale Getirin<\/strong><\/p>

        S\u00fcre\u00e7lerin g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fcn\u00fc art\u0131rmak ve operasyonel verimlili\u011fi en \u00fcst seviyeye \u00e7\u0131karmak t\u00fcm organizasyonlar i\u00e7in art\u0131k bir tercih de\u011fil, bir gereklilik haline geldi. Task mining, \u015firketlerin i\u015fleyi\u015fine dair derinlemesine i\u00e7g\u00f6r\u00fcler sunarak verimsiz s\u00fcre\u00e7leri a\u00e7\u0131\u011fa \u00e7\u0131karan, manuel i\u015f y\u00fck\u00fcn\u00fc azaltan ve s\u00fcrekli iyile\u015ftirme k\u00fclt\u00fcr\u00fcn\u00fc destekleyen g\u00fc\u00e7l\u00fc bir analiz ve optimizasyon modelidir.<\/p>

        • G\u00f6r\u00fcnmeyen darbo\u011fazlar\u0131 tespit ederek operasyonlar\u0131 h\u0131zland\u0131r\u0131r.<\/li>\n\n
        • \u00c7al\u0131\u015fanlar\u0131n manuel i\u015f y\u00fck\u00fcn\u00fc azaltarak stratejik i\u015flere odaklanmalar\u0131n\u0131 sa\u011flar.<\/li>\n\n
        • \u015eirketlerin dijital d\u00f6n\u00fc\u015f\u00fcm s\u00fcre\u00e7lerini h\u0131zland\u0131rarak otomasyonu m\u00fcmk\u00fcn k\u0131lar.<\/li>\n\n
        • Veriye dayal\u0131 karar almay\u0131 destekleyerek daha do\u011fru ve \u00f6l\u00e7\u00fclebilir s\u00fcre\u00e7 y\u00f6netimi sa\u011flar.<\/li><\/ul>

          Organizasyonlar, task mining sayesinde yaln\u0131zca bug\u00fcnk\u00fc darbo\u011fazlar\u0131 ortadan kald\u0131rmakla kalmaz, ayn\u0131 zamanda verimlilik ve s\u00fcrekli iyile\u015ftirme odakl\u0131 bir k\u00fclt\u00fcr olu\u015fturarak gelece\u011fe daha g\u00fc\u00e7l\u00fc ad\u0131mlarla ilerleyebilir.<\/p>","protected":false},"excerpt":{"rendered":"

          Task mining, i\u015f s\u00fcre\u00e7lerindeki g\u00f6r\u00fcnmeyen darbo\u011fazlar\u0131 tespit ederek manuel i\u015f y\u00fck\u00fcn\u00fc azaltan ve s\u00fcre\u00e7leri optimize eden g\u00fc\u00e7l\u00fc bir analiz y\u00f6ntemidir. \u00c7al\u0131\u015fan etkile\u015fimlerini detayl\u0131 \u015fekilde analiz ederek, tekrarlayan g\u00f6revleri, verimsiz ad\u0131mlar\u0131 ve otomasyon f\u0131rsatlar\u0131n\u0131 ortaya \u00e7\u0131kar\u0131r. Bu sayede i\u015fletmeler, s\u00fcre\u00e7lerini daha verimli, h\u0131zl\u0131 ve s\u00fcrd\u00fcr\u00fclebilir hale getirerek dijital d\u00f6n\u00fc\u015f\u00fcm yolculuklar\u0131n\u0131 h\u0131zland\u0131rabilir.<\/p>\n","protected":false},"author":2,"featured_media":44099,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[75,74,78],"tags":[],"class_list":["post-44097","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dijital-donusum","category-surec-yonetimi","category-yeni-teknoloji"],"_links":{"self":[{"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/posts\/44097"}],"collection":[{"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/comments?post=44097"}],"version-history":[{"count":1,"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/posts\/44097\/revisions"}],"predecessor-version":[{"id":44100,"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/posts\/44097\/revisions\/44100"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/media\/44099"}],"wp:attachment":[{"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/media?parent=44097"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/categories?post=44097"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rezonant.com.tr\/index.php\/wp-json\/wp\/v2\/tags?post=44097"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}