Business Intelligence and Knowledge Management in Enterprise Applications

  • Ramu A
  • Haldorai A
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Abstract

In the modern business day, enterprises have extensive data that has stimulated data variety in many information silos. These activities for extracting valued data from the sources apply Knowledge Management (KM) and Business Intelligence (BI) technologies and applications. The BI frameworks can effectively empower companies to share, analyse also access knowledge and data. Apart from that, KM fundamentally promotes the usage of knowledge and data that is available in the company. In that case, it might be assumed that KM and BI plays a fundamental role in the development of quantitative and qualitative data value which is essential for decision-making. These concepts can benefit from each other and it can be considered that BI plays a fundamental role in KM projects. For instance, BI techniques are applicable in KM for carrying and creating knowledge. The core rationale of this research is to evaluate the interactions, connections and differences between KM and BI. In this analysis, the essential information was taken and collected from different case studies and various literature sources. This procedure is used to compose this research which helps to access accurate data which is essential to mention enterprise management in the modern age. In general, effective agreement results has been witnessed in other scholastic research which states the clear connection of the two concepts and their interaction with each other.

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APA

Ramu, A., & Haldorai, A. (2020). Business Intelligence and Knowledge Management in Enterprise Applications. Journal of Enterprise Business Management, 92–100. https://doi.org/10.46532/jebm.20201202

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