数据驱动业务流程重构的作用机制研究

企业的转型升级本质上是业务流程重构。数字经济时代,数据驱动的业务流程重构已成为各行各业转型升级的重要方向,但大部分基础设施投资企业在数据驱动业务流程重构方面进展缓慢,企业对数据的驱动逻辑和应用路径缺乏深入分析,很大程度上阻碍了企业转型升级进程。本文采用文献研究与案例分析结合的方法,从数据驱动业务流程重构(business process reengineering, BPR)的理论基础开始,阐述了BPR过程框架、BPR应用框架和BPR评估框架在研究中的应用情况,再基于两类典型企业案例进行分析,提出一套数据驱动业务流程重构的作用机制模型,以期为相关企业提供一些参考和借鉴。

Analysis of drug use law and mechanism of prostate cancer based on data mining and network pharmacology

Objective: Excavate the medication rule of traditional Chinese medicine in the treatment of prostate cancer, and predicting the biomolecular level mechanism of high-frequency drug compatibility. Methods: Relevant documents in CNKI, Wanfang Medical Network and VIP Chinese Biomedical Periodical Database Pubmed, EMbase were collected and collated systematically. Frequency statistics, association rule analysis and new party mining were carried out using TCMISSV2.5. BATMAN-TCM was used to analyze the interaction relationship and related pathways between high-frequency drug targets. Results: Huangqi (Astragalus membranaceus) was the single drug most used of the 102prescriptions included in the standard. There are 6 pairs of combinations with high confidence in association rule analysis. System entropy cluster analysis resulted in 20 core drug combinations and 9 new prescriptions. Through KEGG pathway analysis of Huangqi, Fuling (Poria cocos), Gancao (Glycyrrhiza uralensis) and Dihuang (Rehmannia glutinosa), it was found that the number of potential targets of the neural active ligand receptor rented pathway and purine metabolism pathway was the largest. Conclusions: Prostate cancer is mainly treated with deficiency-tonifying drugs, which are combined with drugs for promoting blood circulation, removing blood stasis, clearing heat, promoting diuresis, detoxifying and resolving hard mass. The mechanism of action of high-frequency traditional Chinese medicine may be realized by interfering with the neuroactive ligand receptor interaction pathway and purine metabolism pathway.