An approach to analyze data field was proposed to compute the data field potential in the setting of big data based on the enzymatic numerical P system(ENPS) which is a novel membrane computing device. At first, this approach employed the transition P system to improve the ENPS so as to enhance the controllability of processes. Then, the improved ENPS was taken into account to design a P system for calculating the potential of big data field. The maximum parallelism of the P system resulted in the accomplishment of calculation on the potential of big data field only in three steps. The running time within each step was constant and independent to the data scale. Experimental results on real data field from face images verified the effectiveness of the proposed method.
