The research of Data Integration and Business Intelligent based on drilling big data

In all sectors where digital elements and tools are becoming more and more widespread, it has contributed to the formation of large volumes of data due to the increase in the data flow rate regarding company processes. These data-related developments have contributed to the fact that small and medium-sized enterprises (SMEs) are seen as an important resource by processing and making sense of data. Data capital can enable SME businesses become aware of things by showing correlations, risks, and opportunities that they weren't aware of before. In this study, it aimed to evaluate the knowledge, technological infrastructure, precautions and data perceptions of SMEs for big data applications in the future. In order to find out the above-mentioned elements, a survey analysis study was carried out comprising the company managers in the scope of the selected samples. By using explanatory and confirmatory statistical criteria, this study presents to companies, particularly SMEs, the business opportunities and policy recommendations hidden amongst big data.

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The research of Data Integration and Business Intelligent based on drilling big data

Cited by 3 publications

References 4 publications

Intelligent decision support systems in construction engineering: An artificial intelligence and machine learning approaches

Intelligent decision support systems in construction engineering: An artificial intelligence and machine learning approaches

Business Intelligence Tools Implementing in the Field of Electrical Industry

Small to Medium‐sized Enterprises Data Perception and Applications

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