https://cyberleninka.org/article/n/854933.pdf

Social media analytics – Challenges in topic discovery, data collection, and data preparation

Business intelligence success: The roles of BI capabilities and decision environments

Smart grid communication and information technologies in the perspective of Industry 4.0: Opportunities and challenges

The main objective of this article is to identify the critical success factors (CSFs) for Business Intelligence (BI) systems implementation in small and medium enterprises (SMEs).The structure of the article is subordinated to this objective. The paper identifies the term Business Intelligence, characteristics of Business Intelligence systems, and various perspectives of their development. Then, the existing CSFs of IT projects and BI projects proposed by various authors in literature are reviewed. Next, on the basis of statistical data and literature, the role of SMEs in the economy and the barriers to their development are assessed. The obtained results allowed us to determine that one of the barriers to the SMEs development is the implementation and use of IT. Subsequently, using in-depth interviews with SMEs, the SMEs need for BI systems as well as the determinants and barriers to their implementation are recognized. Based on the findings, using critical thinking and inductive reasoning, the authors of the article along with the researched enterprises have defined CSFs that are crucial for implementing BI systems in SMEs. The results obtained may be useful for managers, policy makers, business analysts, and IT specialists in dealing with planning and implementation of BI systems in SMEs.

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Critical Success Factors for Implementing Business Intelligence Systems in Small and Medium Enterprises on the Example of Upper Silesia, Poland

Managing a Big Data project: The case of Ramco Cements Limited

In the course of the evolution of management support towards corporate wide Business Intelligence infrastructures, the integration of components for handling unstructured data comes into focus. In this paper, three types of approaches for tackling the respective challenges are distinguished. The approaches are mapped to a three layer BI framework and discussed regarding challenges and business potential. The application of the framework is exemplified for the domains of Competitive Intelligence and Customer Relationship Management.

Hans-George Kemper

Papers

Management Support with Structured and Unstructured Data-An Integrated Business Intelligence Framework