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An Implementation of Business Forecasting using Big Data Predictive Analysis

机译:大数据预测分析的业务预测实现

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The Big data introduces many of the significance after the perceptions it creates when it is evaluated for finding patterns and for deriving similar words for the data, creating verdicts and eventually replying to the world with business intelligence. Many corporations are moving towards predictive analytics to build the relationship with customers, enhance processes and condense operational costs. Predictive analysis is usually used to forecast future probabilities which can arise in future for business. We can make the business strategy for the predictive models of different data present in the knowledge base in the mandate to build up a good customer-s relationship and relevant products, sales analysis and financial strategy for the company growth. Some of the common methodologies, including data mining, mathematical modelling and machine learning help to figure out some facts for the business forecasts. In this paper work, we are presenting an approach to implementing Business forecasting application which can be used as user-friendly tool for the Predictive analysis. In our approach, we are simplifying the complexities involved using Standard Advanced Predictive Analysis Tools which requires advanced skills and expertise to use in Business Forecasting.
机译:大数据在评估形成的感知之后引入了许多意义,这些感知被评估以寻找模式并为数据推导相似的词语,做出判断并最终以商业智能回应世界。许多公司正朝着预测分析的方向发展,以建立与客户的关系,增强流程并降低运营成本。预测分析通常用于预测将来在业务中可能出现的未来概率。我们可以为任务中知识库中存在的不同数据的预测模型制定业务策略,以建立良好的客户关系和相关产品,销售分析以及公司发展的财务策略。包括数据挖掘,数学建模和机器学习在内的一些常用方法有助于找出业务预测的一些事实。在本文的工作中,我们将介绍一种实现业务预测应用程序的方法,该方法可用作预测分析的用户友好工具。在我们的方法中,我们使用标准高级预测分析工具来简化所涉及的复杂性,该工具需要在业务预测中使用高级技能和专业知识。

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