This article is an introduction to machine learning for financial forecasting, planning and
analysis (FP&A). Machine learning appears well suited to support FP&A with the highly …

Revenue forecasting is required by most enterprises for strategic business planning and for
providing expected future results to investors. However, revenue forecasting processes in …

Aiming to retain their position in the marketplace, organizations are constantly enhancing
research and development-based digital innovation activities in order to constantly develop …

This paper explores time series forecasting for application metrics, with the goal of
performing anomaly detection and system resource management. To do so, we …

Business Processes, ie, a set of coordinated tasks and activities to achieve a business goal,
and their continuous improvements are key to the operation of any organization. In banking …

Sholawat serta salam tetap saya curahkan kepada junjungan nabi besar Muhammad SAW
atas jasa beliau, Thesis ini dapat memberikan nilai dakwah dalam agama Islam sehingga …

Following the SARIMA approach, different forecasting models are explained and developed
based on monthly and quarterly revenue data from a real company. It is investigated …

Business Processes, ie, a set of coordinated tasks and activities to achieve a business goal,
and their continuous improvements are key to the operation of any organization. In banking …

The objective of this study is to compareperformance of threeforecasting tax revenue models
for Turkeyover the period of 2006: 01 to 2018: 12. Three different time series forecasting …

Machine learning can be perceived as using computers not only for calculation and data
processing but also performing calculations on the processed data which could share an …