A Guide for selecting big data analytics tools in an organisation

Selection of appropriate big data analytics (BDA) tools (software) for business purposes is increasingly challenging, which sometimes lead to incompatibility with existing technologies. This becomes prohibitive in attempts to execute some functions or activities in an environment. The objective of this study was to propose a model, which can be used to guide the selection of BDA in an organization. The interpretivist approach was employed. Qualitative data was collected and analyzed using the hermeneutics approach. The analysis focused on examining and gaining better understanding of the strengths and weaknesses of the most common BDA tools. The technical and non-technical factors that influence the selection of BDA were identified. Based on which a solution is proposed in the form of a model. The model is intended to guide selection of most appropriate BDA tools in an organization. The model is intended to increase BDA usefulness towards improving organization’s competitiveness

A Comparative Analysis of Using the Capability Notion for Congruent Business and Information Systems Engineering

The notion of capability has been gaining a growing attention in the business and information system (IS) engineering community due to a number of reasons: it facilitates focus on business investments, it can be used as a baseline for business planning, and it directly leads to service specification and design. It is not however widely known to what extent capability is considered in different modeling approaches, how it is defined, and what purpose it fulfills. This article analyzes how the notion of capability is included in the frameworks spanning from business-oriented such as Business Architecture and Business Value Modeling, to the alignment-oriented represented by Enterprise Architecture (EA), and Enterprise Modeling (EM). The results of the analysis have shown that capability has widespread presence in the frameworks and that its conceptual meaning is largely similar, while the intentions and the mechanisms of its use differ, which raises stimulating opportunities for new contributions and improvements in the field