商业智能工具对未来预测的前向和后向组合方法

Mohammad Najjartabar Bisheh, Abbas Raissi, Saeedeh Mokhtari
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引用次数: 0

摘要

商业智能工具现在在组织的数据收集、处理和分析中发挥着重要作用。管理人员可以使用这些工具的输出并做出改进的决策。为了给管理人员提供更好的情况,可以使用商业智能工具来预测未来并显示组织的现在和过去的状态。可用的商业智能工具基于历史数据预测未来,也就是说,它们采用了落后的方法。在这项研究中,它试图根据我们对未来事件的预期改变历史趋势的外推,以便采用前瞻性方法进行预测。
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Combination of Backward and Forward Approaches for Future Prediction by Business Intelligence Tools
Business intelligence tools now play an important role in data collection, processing and analyses of organizations. Managers may use outputs of such tools and make improved decisions. To provide an even better situation for managers, business intelligence tools may be used to predict future and display present and past statuses of the organization. Available business intelligence tools predict future based on historical data, i.e., they are said to enjoy backward approaches. In this study, it was tried to change extrapolation of historical trends according to our expectations of future events so that forward approaches could be employed for prediction purposes.
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