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Theory to Practice in Business Intelligence

机译:商业智能实践理论

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The debate is developed based on the following considerations: 1 - Business Intelligence (Bl) is unanimous considered the art of gaining business advantage from data; therefore Bl systems and infrastructures must integrate disparate data sources into a single coherent framework for real-time reporting and detailed analysis within the extended enterprise; 2 - Business Intelligence can be described as a value proposition that helps organizations in their decision-making processes; 3 - the Business Intelligence Value Chain represents a ,,From DATA To PROFIT" approach and is recommended to ground any performance management program. Different aspects, including theoretical considerations and practice examples, regarding location intelligence, mobile Bl, cloud-based Bl, social Bl and collaborative Business Intelligence will be treated, pointing out some of the author's contributions.Nowadays, organizations have adopted more prudent policies requiring a financial justification for nearly every IT initiative, including Business Intelligence system implementations. A business-driven methodology is recommended in any Bl project management approach, project scoping and planning being vital for the project success. A business-driven approach of a Bl project implementation starts with a feasibility study. The decision-making process for large projects is very complicated, and will not be subject of this paper. Having in mind a middle-sized Bl project, a feasibility study based on the Monte Carlo simulation method will be conducted.
机译:辩论基于以下考虑而展开:1-一致认为商业智能(B1)是从数据中获得商业优势的艺术;因此,Bl系统和基础架构必须将不同的数据源集成到一个统一的框架中,以在扩展的企业内部进行实时报告和详细分析; 2-商业智能可以描述为一种价值主张,可以帮助组织进行决策流程; 3-商业智能价值链代表“从数据到利润”的方法,建议将其作为任何绩效管理计划的基础。有关位置智能,移动Bl,基于云的Bl,社交等各个方面,包括理论考虑和实践示例如今,组织已经采取了更为审慎的政策,要求对几乎所有IT计划(包括商业智能系统的实施)进行财务证明,在任何情况下都建议采用商业驱动的方法。 Bl项目管理方法,项目范围和计划对于项目成功至关重要。Bl项目实施的业务驱动方法始于可行性研究,大型项目的决策过程非常复杂,因此不会受到关注。考虑到一个中型Bl项目,可行性研究b将根据Monte Carlo模拟方法进行仿真。

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