时间序列分析在商业决策中的应用

Dr. T. Nadana Ravishankar
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引用次数: 0

摘要

该研究讨论了“时间序列分析”应用程序的相关性,这些应用程序将帮助组织了解业务增长。当前的研究影响了个体的知识,从而确保了研究的相关性。本研究的重点是用于讨论时间序列有效性的几个业务指标。研究者还专注于一种适当的方法,通过采用研究设计、类型、方法和其他方法来增加研究研究的知识。本研究选择了影响整个研究的二次定性数据分析方法。通过时间序列的分析方法获取过程管理,通过有效的决策范围进行处理,这对于通过系统的审查过程提供有效的决策及其过程至关重要。时间序列分析的好处,个人概念的序列资源和它的重要性,通过决策范围是必不可少的。系统的方法在企业准入中通过提出企业有利因素的范围和具体概念的归因有助于组织这方面。决策范围的系统来源提供了拟议业务的优化,提供了业务制定过程的概念。通过动力学模型的获取,总结了有益的商业课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Time Series Analysis for Better Decision Making in Business
The research study discusses the relevance of “time series analysis” applications that will help an organisation to understand business growth. The present study affects an individual’s knowledge that ensures the research's relevance. The present study focuses on several business metrics that have used to discuss the effectiveness of time series. The researcher has also focused on an appropriate methodology that increases knowledge of the research study by adopting a research design, type, approach, and others. The study chooses a secondary qualitative data analysis method that affected the entire research study. Accessing through time series of analytical approach processes manage to process through an effective decision-making range is essential to provide effective decisions and its courses through the systematic process of review. The benefits of time series analysis personal concepts of series resources and its importance through the decision-making range are essential. A systematic approach in businesses access through proposed factors in business beneficial range and attribution of specific concepts helps to organize this aspect. A systematic source of decision-making range provides optimization of proposed business provides concepts of business making process. Accessing through the kinetic model summary has been provided in terms of beneficial business courses.
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