大数据技术在保险企业数据中心转型过程中的应用研究

发布时间：2018-03-03 19:07

本文选题：大数据　切入点：技术运营　出处：《武汉纺织大学》2017年硕士论文　论文类型：学位论文

【摘要】：在互联网时代,信息技术能力已经成为企业的核心竞争力之一,同时不同种类的数据也成为了企业的最宝贵资源。对于金融行业中的保险企业也不例外,随着国民经济的发展,人们对保险的认识越来越深,购买保险的需求也在不断增加。那么如何能够稳定、高效的支撑起日益增长的业务,对于传统保险企业的数据中心来说也是一项极大的挑战。数据中心的价值不再是仅仅满足于保证系统的稳定运行,更重要的是如何将运行数据产生其应有的业务价值,达到降低成本、产生收益的效果。对保险企业数据中心而言从系统运维到技术运营的转型对于数据中心价值的提升有着显著的帮助。传统企业数据中心的系统运维主要工作内容首先是把服务器、网络、数据库搭建好,然后把程序部署上去运行起来,再把相应的监控加好,然后就开始等待告警和处理告警,或者是等待故障和处理故障的无序循环。其次是处理业务部门在使用系统中所遇到的种种问题,可以是系统缺陷导致的,也可以是因为不会使用导致的。对于运维工作的总结就是重复、等待、救火。对于运维人员来说其工作价值难以体现,没有存在感,一旦出了问题开始质疑是否是运维工作的疏漏。对于数据中心的管理来说,同样面对很高的挑战,高强度的工作岗位违背了传统企业安逸舒适的一贯风格,但是奖惩制度、薪资待遇却依然保持着传统作风。造成高技能人才流失率大幅度提升,人员补充速度慢,从而进一步加重了在职人员的工作压力。基于上述的业务挑战和数据中心运维工作的困难,本文将依照国内某大型保险企业实际案例,研究其数据中心在遇到上述的业务挑战以及管理上的困难后采取的相关措施,找到突破业务发展与数据中心运维难度间矛盾的方法,从技术与管理两方面着手,逐步在高强度的工作压力中建立起一套以大数据平台为核心的自动化运维平台,同时也产生了一套基于自动化的技术运营的管理体系。做到把运维工作前置,成功实现从系统运维向技术运营转型。
[Abstract]:In the Internet era, the ability of information technology has become one of the core competitiveness of enterprises, at the same time, different kinds of data have become the most valuable resources of enterprises. The insurance enterprises in the financial industry are no exception, with the development of the national economy, People are getting more and more aware of insurance, and the demand for insurance is increasing. So how can we support the growing business steadily and efficiently? It is also a great challenge for the traditional insurance enterprise data center. The value of the data center is no longer just to ensure the stable operation of the system, but also how to generate its due business value from the running data. To reduce costs, For insurance enterprise data center, the transition from system operation and maintenance to technology operation is of great help to enhance the value of data center. The main contents of system operation and maintenance in traditional enterprise data center. First of all, the server, The network, the database are built up, and then the program is deployed to run, and then the corresponding monitoring is added, and then we start waiting for the alarm and handling the alarm. Or an out-of-order loop waiting for and dealing with a malfunction. The second is to deal with the problems encountered by the business department in using the system, which can be caused by a system defect. It can also be because it won't be used. The summary of the operation and maintenance work is repetition, waiting, and fire-fighting. To the operation and maintenance personnel, its work value is difficult to embody, and there is no sense of existence. Once something goes wrong, it starts to question whether it's an omissions in operations and maintenance. As for the management of data centers, it's also a challenge. High-intensity jobs run counter to the traditional corporate style of comfort and comfort, but rewards and penalties. The pay package, however, remains traditional. As a result, the rate of loss of highly skilled personnel has increased dramatically, and the rate of replacement has been slow. Based on the above business challenges and the difficulties in the operation and maintenance of the data center, this paper will be based on the actual case of a large insurance company in China. This paper studies the relevant measures taken by its data center after meeting the above business challenges and management difficulties, and finds a way to break through the contradiction between the business development and the operation and maintenance difficulty of the data center, and start from the two aspects of technology and management. At the same time, a set of automatic operation and maintenance platform with big data platform as the core, and a set of management system based on automation technology operation have been established step by step in the high intensity work pressure, so as to put the operation and maintenance work ahead of each other. Successfully realize the transformation from system operation and maintenance to technical operation.
【学位授予单位】：武汉纺织大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.13;F842.3

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