大數(shù)據(jù)技術(shù)在保險(xiǎn)企業(yè)數(shù)據(jù)中心轉(zhuǎn)型過程中的應(yīng)用研究
發(fā)布時(shí)間:2018-03-03 19:07
本文選題:大數(shù)據(jù) 切入點(diǎn):技術(shù)運(yùn)營 出處:《武漢紡織大學(xué)》2017年碩士論文 論文類型:學(xué)位論文
【摘要】:在互聯(lián)網(wǎng)時(shí)代,信息技術(shù)能力已經(jīng)成為企業(yè)的核心競爭力之一,同時(shí)不同種類的數(shù)據(jù)也成為了企業(yè)的最寶貴資源。對于金融行業(yè)中的保險(xiǎn)企業(yè)也不例外,隨著國民經(jīng)濟(jì)的發(fā)展,人們對保險(xiǎn)的認(rèn)識越來越深,購買保險(xiǎn)的需求也在不斷增加。那么如何能夠穩(wěn)定、高效的支撐起日益增長的業(yè)務(wù),對于傳統(tǒng)保險(xiǎn)企業(yè)的數(shù)據(jù)中心來說也是一項(xiàng)極大的挑戰(zhàn)。數(shù)據(jù)中心的價(jià)值不再是僅僅滿足于保證系統(tǒng)的穩(wěn)定運(yùn)行,更重要的是如何將運(yùn)行數(shù)據(jù)產(chǎn)生其應(yīng)有的業(yè)務(wù)價(jià)值,達(dá)到降低成本、產(chǎn)生收益的效果。對保險(xiǎn)企業(yè)數(shù)據(jù)中心而言從系統(tǒng)運(yùn)維到技術(shù)運(yùn)營的轉(zhuǎn)型對于數(shù)據(jù)中心價(jià)值的提升有著顯著的幫助。傳統(tǒng)企業(yè)數(shù)據(jù)中心的系統(tǒng)運(yùn)維主要工作內(nèi)容首先是把服務(wù)器、網(wǎng)絡(luò)、數(shù)據(jù)庫搭建好,然后把程序部署上去運(yùn)行起來,再把相應(yīng)的監(jiān)控加好,然后就開始等待告警和處理告警,或者是等待故障和處理故障的無序循環(huán)。其次是處理業(yè)務(wù)部門在使用系統(tǒng)中所遇到的種種問題,可以是系統(tǒng)缺陷導(dǎo)致的,也可以是因?yàn)椴粫褂脤?dǎo)致的。對于運(yùn)維工作的總結(jié)就是重復(fù)、等待、救火。對于運(yùn)維人員來說其工作價(jià)值難以體現(xiàn),沒有存在感,一旦出了問題開始質(zhì)疑是否是運(yùn)維工作的疏漏。對于數(shù)據(jù)中心的管理來說,同樣面對很高的挑戰(zhàn),高強(qiáng)度的工作崗位違背了傳統(tǒng)企業(yè)安逸舒適的一貫風(fēng)格,但是獎(jiǎng)懲制度、薪資待遇卻依然保持著傳統(tǒng)作風(fēng)。造成高技能人才流失率大幅度提升,人員補(bǔ)充速度慢,從而進(jìn)一步加重了在職人員的工作壓力;谏鲜龅臉I(yè)務(wù)挑戰(zhàn)和數(shù)據(jù)中心運(yùn)維工作的困難,本文將依照國內(nèi)某大型保險(xiǎn)企業(yè)實(shí)際案例,研究其數(shù)據(jù)中心在遇到上述的業(yè)務(wù)挑戰(zhàn)以及管理上的困難后采取的相關(guān)措施,找到突破業(yè)務(wù)發(fā)展與數(shù)據(jù)中心運(yùn)維難度間矛盾的方法,從技術(shù)與管理兩方面著手,逐步在高強(qiáng)度的工作壓力中建立起一套以大數(shù)據(jù)平臺為核心的自動(dòng)化運(yùn)維平臺,同時(shí)也產(chǎn)生了一套基于自動(dòng)化的技術(shù)運(yùn)營的管理體系。做到把運(yùn)維工作前置,成功實(shí)現(xiàn)從系統(tǒng)運(yùn)維向技術(shù)運(yùn)營轉(zhuǎn)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.
【學(xué)位授予單位】:武漢紡織大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP311.13;F842.3
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