可协同数据分析系统的设计与实现

发布时间：2018-04-10 01:21

本文选题：协同　切入点：数据分析　出处：《扬州大学》2017年硕士论文

【摘要】：随着互联网产业的快速更迭与发展,人们在日常使用网络时产生了非常庞大的网络数据,随之出现的问题是,传统的数据分析系统已经无法有效地对如此庞大并且数据类型多种多样的数据进行有效的分析处理,为上层提供服务。现在需要将数量庞大、种类繁多、位于公司内不同部门和系统的数据结合在一起进行处理分析,将这些数据转化为有价值的信息。这些信息可为公司的上层决策和管理提供有效的参考意见。但在传统的数据分析系统中,随着数据量的增多、格式种类的繁杂,原有的数据分析系统已经不能满足公司的正常需求。大部分传统的数据分析均是以单个数据分析工具为入口,对已知线索进行分析,然后通过其他工具对分析结果进行扩展分析推理的过程需要业务人员有一定的工作经验,而且大部分需要进行重复操作,另外还需要借助其他办公软件对所有分析结果进行汇总和梳理,无法实时还原业务分析思路的概貌,不利于工作成果的迅速扩展和分享。针对以上问题本文设计并实现了一个可协同的数据分析系统,论文的主要工作分为以下几个方面:1.全面分析可协同数据分析系统的需求,为系统的设计与实现奠定坚实的基础。2.给出了可协同数据分析系统的详细设计方案,包括系统模块的设计以及统数据库的设计。3.完成了系统主要功能的实现以及测试工作,验证了系统的正确性。利用本文系统,一个完整的数据分析流程是这样的:首先,数据分析小组组长以思维导图的形式直观地展示他对数据分析任务的理解和分工,并通过共享思维导图,将该任务分工传达给小组成员;每个小组成员通过调用系统提供的各种数据分析工具独立完成数据分析子任务,然后编辑思维导图的子任务结点对子任务的结果进行展示。在这个过程中,组长可以随时查看思维导图,了解任务进展情况。目前,本文系统已经在作者所在实习公司得到应用,有效地提升了数据分析小组的沟通效率和执行效率。
[Abstract]:With the rapid change and development of the Internet industry, people in the daily use of the network produced a very large network data, followed by the problem is,The traditional data analysis system has been unable to effectively analyze and process such huge data with various data types to provide services for the upper layer.There is now a need to combine data from a large variety of different departments and systems within the company to process and analyze the data and turn it into valuable information.This information can provide an effective reference for the top decision and management of the company.But in the traditional data analysis system, with the increase of the amount of data and the complexity of the format, the original data analysis system can not meet the normal needs of the company.Most traditional data analysis takes a single data analysis tool as the entry point to analyze the known clues, and then through other tools to expand the analysis results of the process of reasoning, business people need a certain amount of work experience.Moreover, most of them need to repeat operation, in addition, they need to sum up and comb all the analysis results with the help of other office software, which can not restore the general outline of business analysis in real time, which is not conducive to the rapid expansion and sharing of work results.A collaborative data analysis system is designed and implemented for the above problems. The main work of this paper is divided into the following aspects: 1.Comprehensive analysis of the requirements of collaborative data analysis system, for the design and implementation of the system lay a solid foundation. 2.The detailed design scheme of the collaborative data analysis system is given, including the design of the system module and the design of the database.The main functions of the system are implemented and tested, and the correctness of the system is verified.Using this system, a complete data analysis process is as follows: first, the head of the data analysis team intuitively demonstrates his understanding of the data analysis task and division of labor in the form of a mind map, and shares the thinking map.The task division is communicated to the group members, and each group member completes the data analysis sub-task independently by calling various data analysis tools provided by the system, and then edits the sub-task node of the mind map to display the results of the sub-task.During this process, the team leader can check the mind map at any time to understand the progress of the task.At present, the system has been applied in the practice company, which effectively improves the communication efficiency and execution efficiency of the data analysis group.
【学位授予单位】：扬州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52

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