美国论文代写：业务分析知识管理
美国论文代写：业务分析知识管理。业务分析是指公司用于识别业务需求和创建满足这些需求的解决方案的方法。业务分析技术用于创建计划并将其付诸行动。熟练的业务分析师使用这些工具能够创建一个业务结构，它被分解成可管理的部分。这样做是为了确定创建解决方案的最佳方法。在这个过程中，有一个知识管理工具，将派生业务的需求是势在必行的。接下来美国论文代写专家将为同学们讲解下业务分析知识管理。
决策过程需要做出一个决定。要求明确决策的性质，确保实施的可行性。为此，必须收集相关信息。从初始阶段开始，公司就可以定义特定的解决方案。然而，业务分析师需要确定替代解决方案，批判性地分析每种情况的积极和消极方面，并从分析中选择最佳决策，并采取行动实施替代方案(Gandomi & Haider, 2015)。这些公司需要重新审视这一决定及其后果。最终，所做的决定是基于个人可用的数据。
在当今时代，大数据和分析的作用正变得非常紧密地交织在一起，它们必须找到办法共同努力，以实现大数据所承诺的结果。从传统的观点来看，数据管理和分析已经成为组织的一部分。打破不同的组织边界用于创建更好的集成。关键是将大数据与传统的商业分析相结合，创建一个生态系统。这被企业用来生成和创建新的见解，以执行已知的内容。精通数据挖掘和可视化工具是实现项目成功目标的重要工具。由此可见，创建内聚工作流结构需要数据。大数据的问题开始在这个模式中发挥作用。对这些因素进行了分析，以解决这一进程中的差距。
Business analysis refers to the method that is used by the companies for identification of the business needs and creation of the solution to meet these requirements. The business analysis technique is used for creation of a plan that is put into action. The skilled business analyst uses these tools to be able to create a business structure that is broken into manageable pieces (Krutz & Vines, 2010). This is done to determine the best possible method for the creation of solution. In this process, it is imperative to have a knowledge management tool that would derive the needs of the business (Provost & Fawcett, 2013). This is done to determine the labour and the resources in the given situation. In the current times, the role of the big data and the analytics are becoming very close intertwined and they must find ways to work together for the promised results of the big data. From a conventional point of view, the data management and the analytics have been a part of the organizations. The breaking down of the different organizational boundaries is used for the creation of better integration. The main key is to integrate the big data with the conventional business analysis to create an ecosystem. This is used by the business to generate and create newer insights for the execution of what is already known. It is important to have a proficiency in the data mining and the visualization tools that are used as a tool for the objective to reach project success. From this, it can be alluded that the data is needed for the creation of cohesive workflow structure. The issues of big data start to play a role in this schema. These factors have been analysed to address the gaps in the process.
The decision-making process entails the need to make one decision. The requirement is to define the nature of decision and ensure the feasibility of implementation. For this, the gathering of relevant information is mandatory. From the initial stages, the companies can define a particular solution. However, the business analyst needs to identify the alternative solution, critically analyse the positive and the negative of each of the situation, and choose the best decision that can be made from this analysis and take action and implement the alternative (Gandomi & Haider, 2015). The companies need to review the decision and the consequences of the decision. Ultimately, the decision that is taken is based on the data that is available for the person.
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