大数据驱动下的油田企业基层党组织活动优化研究  

Research on the Optimization of Grassroots Party Organization Activities in Oilfield Enterprises Driven by Big Data

作　　者：赵诗 ZHAO Shi(Sinopec Northwest Oilfield Branch Oil Production Plant 2,Luntai Xinjiang 841604)

机构地区：[1]中国石化西北油田分公司采油二厂,新疆轮台841604

出　　处：《中国科技纵横》2025年第2期174-176,共3页China Science & Technology Overview

摘　　要：本文旨在探讨大数据驱动下油田企业基层党组织活动的优化策略,分析当前基层党组织活动中存在的参与度低、信息沟通不畅、活动效果评估不准确及党员教育培训不足等问题,并结合大数据技术的应用,提出相应优化对策。研究结果表明,利用大数据分析可以有效提升活动的吸引力和参与度,完善信息传播渠道,增强活动效果评估的科学性,并强化党员的教育培训。通过这些措施,油田企业基层党组织能够更好地发挥战斗堡垒作用,提升组织的凝聚力和战斗力。This study aims to explore the optimization strategies for the activities of the grassroots Party organizations in oilfield enterprises driven by big data.By analyzing the existing problems in the current activities of grassroots Party organizations,such as low participation,poor information communication,insufficient assessment of activity effects,and inadequate training and education for Party members,and combining the application of big data technology,corresponding optimization countermeasures are proposed.The research shows that the use of big data analysis can effectively enhance the attractiveness and participation of activities,improve information dissemination channels,strengthen the scientific nature of activity effect assessment,and intensify the training and education of Party members.Through these measures,the grassroots Party organizations in oilfield enterprises can better serve Party members and enhance the cohesion and combat effectiveness of the organization.

关 键 词：基层党组织建设 参与度 积极性 反馈性 

分 类 号：D267[政治法律—政治学]