Data warehousing process maturity: An exploratory study of factors influencing user perceptions
Data warehousing process maturity: An exploratory study of factors influencing user perceptions
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DOI：
10.1109/tem.2006.877460
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发表时间：
2006-08-01
影响因子：
5.8
通讯作者：
(Ram)Ramamurthy, K.
中科院分区：
文献类型：
--
作者：
Sen, Arun;Sinha, Atish P.;(Ram)Ramamurthy, K.
本文探讨了影响数据仓库过程成熟度感知的因素。与软件开发一样，数据仓库也是一个过程，可以用构件和工作流等组件来表示。在软件工程中，能力成熟度模型(CMM)被开发来定义软件过程成熟度的不同级别。我们利用CMM背后的概念为数据仓库过程(DWP)定义不同的成熟度级别。基于软件开发和成熟度的文献，我们确定了一组用于表征数据仓库过程成熟度级别的特征，并进行了探索性的现场研究，以经验地检验这些因素是否确实是影响成熟度感知的因素。我们在这篇文章中的重点是关于DWP的管理层看法。这项探索性研究的结果表明，IT专业人员认为数据质量、体系结构的一致性、变更管理、组织就绪和数据仓库大小等几个因素对DWP成熟度有影响。从实践的角度来看，这些结果为希望将其数据仓库流程提升到更成熟水平的组织提供了有用的管理和技术指导。本文还为未来的研究开辟了几个领域，包括用于评估DWP成熟度的工具开发。
This paper explores the factors influencing perceptions of data warehousing process maturity. Data warehousing, like software development, is a process, which can be expressed in terms of components such as artifacts and workflows. In software engineering, the Capability Maturity Model (CMM) was developed to define different levels of software process maturity. We draw upon the concepts underlying CMM to define different maturity levels for a data warehousing process (DWP). Based on the literature in software development and maturity, we identify a set of features for characterizing the levels of data warehousing process maturity and conduct an exploratory field study to empirically examine if those indeed are factors influencing perceptions of maturity. Our focus in this paper is on managerial perceptions of DWP. The results of this exploratory study indicate that several factors-data quality, alignment of architecture, change management, organizational readiness, and data warehouse size-have an impact on DWP maturity, as perceived by IT professionals. From a practical standpoint, the results provide useful pointers, both managerial and technological, to organizations aspiring to elevate their data warehousing processes to more mature levels. This paper also opens up several areas for future research, including instrument development for assessing DWP maturity.