Claim Missing Document
Check
Articles

Found 1 Documents
Search

Application of FinOps-Based Cloud Cost Risk Analysis on Microsoft Azure Services Dzihni Safwa Alifah; Mahadika Rastia Wardana; Yulia Cahyani; Ilham Albana
Economic, Management, Business and Accountancy International Journal Vol. 2 No. 2 (2025): Economic, Management, Business and Accountancy International Journal
Publisher : MJK PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The increasing adoption of cloud computing simplifies IT infrastructure management but also introduces challenges related to unpredictable cost fluctuations. This study applies a descriptive quantitative approach using the Z-Score method to detect cloud cost anomalies as an initial step in FinOps practices. Microsoft Azure service cost data from the 2023–2024 period were analyzed through data cleansing, statistical calculations, and cost trend visualization. Using a Z-Score threshold of ≥ 1.7, the results indicate that one month was identified as High Risk with a Z-Score value of 2.275, representing a significant cost spike. These findings demonstrate that the Z-Score method is capable of detecting cost deviations quickly and efficiently without requiring complex analytical models, making it effective as an early warning system prior to the adoption of more advanced analytics techniques.