BIG DATA VA PREDICTIVE ANALYTICS YORDAMIDA KORXONA MOLIYAVIY RISKLARNI BASHORAT QILISH VA BOSHQARISH
DOI:
https://doi.org/10.5281/zenodo.17452655Keywords:
Big Data, Predictive Analytics, moliyaviy risk, korxona risk boshqaruvi, mashinaviy o‘rganish, kredit risk, likvidlik risk, bozor risk, AI, katta ma’lumotlar, prognozlash modeli, real vaqtda tahlil, operatsion risk, moliyaviy barqarorlik, oldindan ogohlantirish.Abstract
Ushbu maqolada Big Data va Predictive Analytics usullari yordamida korxona moliyaviy risklarni bashorat
qilish va boshqarish metodlari tahlil qilinadi. Tadqiqot doirasida katta hajmdagi strukturalangan va strukturasiz ma’lumotlar,
iqtisodiy ko‘rsatkichlar, tranzaksiya ma’lumotlari va bozor signallari integratsiyalangan. Mashinaviy o‘rganish modellari
(Random Forest, XGBoost, chuqur o‘rganish) orqali kredit risk, likvidlik risk va bozordagi tebranish risklari prognozlandi.
Model natijalari korxonalarning risk darajasini aniqlashda yuqori aniqlik ko‘rsatdi va oldindan ogohlantirish tizimlari
qurish imkonini berdi. Xulosa sifatida, Big Data va Predictive Analytics integratsiyasi korxona moliyaviy barqarorligini
ta’minlashda strategik ahamiyat kasb qiladi.
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