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战略情报关注和预测与政治、外交、社会和经济有关的问题,以及涉及战争、和平与稳定等影响深远的问题。战略情报失误会造成严重的后果。数据对于情报研究的价值在于数据分析师通过算法挖掘数值型数据的内涵,以此辅助决策的制定。对具有代表性的小样本分析一度是情报分析的核心,大数据提供了与此不同的方法。大数据意味着更好的统计特性,更适合趋势分析,异常点检测和模式识别。基于大数据的预测方法将对战略情报产生重要的影响。一、大数据和情报生命周期的结合
Strategic intelligence focuses and predicts issues of political, diplomatic, social and economic relevance, as well as far-reaching issues of war, peace and stability. Strategic intelligence errors can have serious consequences. The value of data for intelligence research lies in that the data analyst digs the connotation of numerical data through the algorithm, in order to assist decision-making. An analysis of a representative small sample was at the heart of intelligence analysis, and big data provided a different approach. Big data means better statistics and is better suited for trend analysis, outlier detection and pattern recognition. Big data-based prediction methods will have a significant impact on strategic intelligence. First, the combination of big data and intelligence life cycle