Multiperspective Assessment of Enterprise Data Storage Systems: Literature Review
Luja Shrestha, Nasir Jamil Sheikh · 2022 Portland International Conference on Management of Engineering and Technology (PICMET) · 2022
Data-driven strategies powered by big data and analytics are becoming an increasingly important point of competitive differentiation. Such approaches rely on the storage of a massive amount of data accumulated over time. Besides computing and networking, data storage is a critical component of information technology infrastructure. Assessment of enterprise data storage systems (EDSS) for selecting the one that provides a comprehensive solution requires not only the consideration of technical performance and economic feasibility but also other perspectives such as strategic, operational, and regulatory. As an initial phase of developing a framework for assessing data storage systems, we completed a literature review to understand the emerging technologies and current trends. We analyzed gaps in the literature to build an assessment model with Strategic, Technological, Operational, Regulatory, and Economic (STORE) perspectives and their related criteria. It is anticipated that the STORE assessment model will be useful in building comprehensive decision models for the selection of enterprise data storage systems.