文章基本信息

标题：A Conceptual Framework For Measuring The Performance of Big Data Analytics Process
本地全文：下载
作者：Ismail Mohamed Ali ; Yusmadi Yah Jusoh ; Rusli Abdullah 等
期刊名称：Acta Informatica Malaysia
印刷版ISSN：2521-0874
电子版ISSN：2521-0505
出版年度：2017
卷号：1
期号：2
页码：13-14
DOI：10.26480/aim.02.2017.13.14
出版社：Zibeline International
摘要：Processes are described as a sequence of steps which result in a specific output based on a given input. The use of term, process, is common and used in different settings including more recently as big data analytics(BDA) process, and Extract, Transform, Load (ETL) process for traditional data warehousing and business intelligence in the past. BDA process starts from data acquisition and selection of the sources, to data preparation, analysis and modeling, to visualiza-tion and interpretation phases. Looking at big data analytics in a process perspective has major benefits since improving process drives a better outcome. This study focuses on how the performance of BDA process can be measured. The major con-tribution will be performance measurement framework of BDA process. The concept of process performance is broadly covered in the literature, mainly in the areas of business process and software process. Thus, process performance measures are available. Time, quality, cost, and flexibility are four of them. Do they apply to BDA process? This is a major question to be dealt with in this research. The overall structure of this research is shown in Figure 1.
关键词：Process; big data analytics process; performance measures; conceptual framework.