The Fundamentals of Business Intelligence

Abstract

This article analyzes the recent literature in the search for the fundamentals of business intelligence (BI). The literature review covers the overview of BI; BI and technology acceptance model (TAM); BI, Big Data, and social media; the elements of BI; the characteristics of BI; enterprise information system (EIS) and cloud computing; the importance of BI; and the implementation of BI. BI involves creating any type of data visualization that provides insight into a business for the purpose of making a decision or taking an action.BI can assist organizations by facilitating better decisions in all facets of operations. The ideal BI system gives the organizations easy access to the information and the ability to analyze and share this information with other business enterprises. The findings present valuable insights and further understanding of the way in which BI perspectives should be emphasized.

Voice Engagement Leading to Business Intelligence

“…This article efforts in providing a conceptual foundation for further theoretical and empirical research to include voice as a channel of engagement, commerce generated using voice and the outputs into business intelligence to create a niche for Voice Business Intelligence (VBI). Helpful starter guide for BI has been developed by (Kasemsap, 2016) for quick reference. Voice must get included in all such studies, documents, research & literature for both academic and industry view.…”

Optimización de la Probabilidad de Falla en el Proceso de Evaluación de Integridad de Ductos para el Transporte de Hidrocarburos por Medio de Algoritmos Genéticos

“…Y debido a su complejidad, la industria petrolífera ha invertido un gran esfuerzo y recursos para proveer de metodologías y herramientas a las áreas y personal responsable para facilitar sus actividades y mejorar los resultados en la planificación y métodos de trasporte. Por lo que en la actualidad, los sistemas computacionales han adquirido un gran valor en esta área, a través del procesamiento de datos para generar conocimiento (Kasemsap, 2016). Como por ejemplo, la Inteligencia de Negocios (BI) que evidencia el poder computacional para generar valor a la información y crear ventajas competitivas tanto a nivel operacional como negocio e incluso en el ámbito científico.…”

Performance Measurement Using the Balanced Scorecard and Business Intelligence in Logistics Companies

“…Organizations that succeed in changing performance management such as BSC and strategy mapping, then choose a framework that suits strategic objectives, and use BI solutions to collect data needed to optimize performance [16]. A well-designed BI system makes all information produced in all organizations and markets available with reliable and quality [17]. To survive, companies and other organizations need a competitive advantage to get better information so knowledge management is needed.…”