[目的/意義]大數據分析引入情報研究已成為時代發展的趨勢,識別二者之間的"天塹"及"通途"對促進及形成大數據驅動的情報研究理論體系具有重要意義。[方法/過程]文章從情報需求與情報問題界定、情報假說、情報搜集與處理、情報分析與生產、情報產品的交付與反饋5個情報研究的關鍵環節出發,通過對比研究,梳理目前大數據分析與情報研究的交融點及隔閡點,指出大數據分析引入情報分析后的價值體現及不足所在。[結果/結論]大數據分析對情報研究的影響在不斷加深,但仍有許多"天塹",這些"天塹"產生的根源在于現階段大數據分析尚無法替代情報人員的智能性及主觀能動性。但從長遠演變的角度而言,大數據分析將會與情報研究不斷發展、走向交融。

[Purpose/significance] The introduction of big data analysis into intelligence studies has become the trend of the developed age.It is of great significance to promote and establish the intelligence studies theoretical system driven by big data to identify the "natural moat"and "thoroughfare"between them.[Method/process] From the perspective of five key links of intelligence studies—intelligence requirement and intelligence problem definition,intelligence hypothesis,intelligence gathering and processing,intelligence analysis and production,the intelligence products delivery and feedback,this paper combs the intersections and gaps of big data analysis and intelligence studies in the method of comparative study,to point out its value and disadvantages.[Results/conclusion] The impact of big data analysis on intelligence studies is deepening,but there are still many "natural moats",which are rooted in the fact that big data analysis cannot replace intelligence personnel’s smart and subjective.However,in terms of evolution,big data analysis and intelligence studies will continue to develop and then integrate with each other.