返回首页

英国论文Proposal范文:组织中主数据管理对提高决策的影响

时间:2017-06-21 11:48:34 来源:www.ukthesis.org 作者:英国论文网 点击联系客服: 客服:Damien
这项研究涉及评估一个组织中主数据管理的重要性及其在决策中的影响。我将提出方法框架,允许以中心为主的数据流向不同的系统。本研究将采用质的方法和解释范式。
掌握数据管理的重点是为组织中的各种系统提供决策信息。基于系统预期收益的增加,他们将提供一个关键组织实体的单一版本。“MDM代表政策,集治理、标准、流程和工具,定义和管理大师和企业组织的参考数据提供一个单一的参考点。”
年的使用和保留在不同的数据存储数据,导致数据描述冲突,数据结构,以及数据的价值,这使得它对于理解组织和正确使用的关键数据。
数据几乎用于公司的所有活动,并构成决定业务和战略层次的基础。数据质量差会对一个组织的能力有显著的负面影响,而高质量的数据往往是一个公司成功的关键。
 
Contents
 
Proposed Title
 
Abstract
Background of the study
Research Problem
Research Objectives
Preliminary Literature Review
Theoretical Framework
Research Questions
Mantaining high data quality
Benefits of Master Data Management
Challenges of Master Data Management
Hypothesis
Hypothesis 1
Hypothesis 2
Hypothesis 3
Research Methodology
Research design
Research approach and strategy
Data collection
Sampling and population
Data analysis
Knowledge gap
Conclusion
References
 
Abstract 摘要
This research deals with assessing the importance of Master Data Management in an organization and the impacts it has when making decisions. I will present the methodological framework which allows a centered master data to flow to different systems. This research will use the qualitative approach and interpretive paradigm.
 
Master Data Management - MDM
 
Keywords: Master Data Management, Data Quality, Information Management, Data Governance
 
Background of the study 研究背景
The focus to Master Data Management is to provide relevant information for decision making using the various systems in the organization. Based on the increasing number of expected benefits of systems that they will deliver a single version of key organizational entities. “MDM represents the set of policies, governance, standards, processes and tools that define and manage the master and reference data of a business organization to provide a single point of reference.“(Subotic, Jovanovic, Poscic, 2014)#p#分页标题#e#
 
Years of using and retaining data in different data stores have led to conflicts in data descriptions, in the way data is structured, and the values of data, which makes it impossible or hard for an organization to understand and properly use its key data(Cleven & Wortmann).
 
Data are used in almost all the activities of companies and constitute the basis for decisions on operational and strategic levels. Poor quality data will have significantly negative effects on the competence of an organization, while high quality data are often crucial to a company’s success (Haug, Zachariassen & van Liempd).
 
Integrating those business definitions and data records across business lines and across subsidiaries is no simple task, demanding rearranging of data ownership and governance, however also requiring advanced technology for policies and business rules to be enforced(Scheidl 2011).
 
The goal of MDM is to create and maintain consistent and complete business data for all stakeholders in a controlled and single-view capable manner across the whole organization which will help them figure out the improvement areas so they become more efficient and competitive. MDM is meant to provide organizations with the ability to integrate, analyze and exploit the value of their data assets, regardless of where that information was collected (Milanov & Njengus 2012).
 
Research Problem 研究问题
Organizations deal with different data which may be scatted across the whole organization where systems do not communicate with each other causing the organization to make decisions based on data that is not accurate.
 
Research Objectives 研究对象
Master Data Management seeks to consolidate data that resides in various systems that do not communicate with each other, in such a way that accurate and up to date organizational data is available in a single place (Reichet, Otto, Ostele, 2013).
 
This research will discuss on how Master Data Management can manage the organizations data and outline the benefits of using MDM which will permit the organization to understand their key data. Consequently, the lack of a suitable master data management may lead to severe problems like operational faults, inadequate decision making. The bigger the company, the bigger the issue of managing the data will be. If companies grow the data landscape gets more complicated and managing data becomes an issue that is hard to deal with (K Pietzka). Companies need to make decisions based on the data that they understand and has qualities of data quality dimensions – Timely, Consistent, Completeness, Integrity, Accuracy, Conformity. To be successful in business, you need to make decisions fast and based on the right information. (Thatipamula 2013)
 #p#分页标题#e#
Preliminary Literature Review 初步的文献综述
Master data form the basis for business processes. Master data represent a company’s essential basic data which remain unchanged over a specific period of time. Which include customer, material, employee and supplier data. Inconsistent master data cause process errors resulting in higher costs. With proper governance, the master data can be regarded as a unified set of data that all applications can rely on for consistent, high quality information (Hamilton G).
 
Theoretical Framework
This framework will allow master data to flow from the Master Data System to the applications, making sure that all applications use the same data. It ensures that the data used is always created the same way and is unique. Which will then allow all linked applications to use the centralized master data.
 
 
By: C LOSER, Dr. C LEGNER, D GIZANIS showing Central Master Data System
 
Research Questions
Asking the right questions will enable the organization to better the way they make decision and the processes involved in their every day to day transactions (Cleven & Wortmann). This research will use a qualitative research to answer the following research questions:
 
How to maintain high data quality?
The impacts in business for not having high quality data
What causes data redundancy in the organization
Maintaining high data quality
Achieving better insight into the performance of processes involved in the everyday running of the business, the customers they have and product profitability and market share is one of the goals. These reporting understandings are the base for key decision making, however, the quality of the reporting is directly impacted by the quality of the data. Data that is not of high quality leads to under-informed decisions. Also, the return on costly investments in business intelligence is partly diminished if the source data is corrupt (C Loser, Dr. C Legner and D Gizanis 2004)
 
A major factor of any company’s day-to-day business is the data that is used in business processes and is available to the operational staff. If it happens that this data is not available, out of date or incorrect, the business may suffer delays or financial losses. “The implications of poor quality data carry negative effects to business users through: less customer satisfaction, increased running costs, inefficient decision-making processes, lower performance and lowered employee job satisfaction“(Haug A, Zachariassen F, van Liempd D, 2011)
 
Data in an organization needs to be controlled and managed. Without having specific rules in place or enforcing data governance, this will cause data to be redundant in different places/systems across the organization. Data governance specifies the framework for decision rights and accountabilities to encourage desirable behavior in the use of data (Otto B, 2009)#p#分页标题#e#
 
When wrong data is identified in the system, some analysis would have to be performed to find out why it happened and how it can be prevented from happening again. The process of correcting the issues will take time and organizational resources.
 
Benefits of Master Data Management
The key benefit of Master Data Management is to integrate similar data management processes, consolidate the critical information that is scattered across the organization, improve the integrity of data which makes sure that the data available is complete and accurate and business will be able to make more effective business decisions from the data with integrity. (Al-Zhrani, 2010)
 
Challenges of Master Data Management
Master Data Management challenges consists of managing the data as there is continuously increasing amount of data which will come with unclear processes of how to collect and maintain that data. Because master data is often used by multiple applications and processes, an error in master data can have a huge effect on the business processes. (Gustafsson, Franke, Johnson, Lilliesköld)
 
Hypothesis
Having implemented MDM effectively, the following can be made from the evidence gathered.
 
Hypothesis 1(H1): Understanding the company’s customers will lead to increase in market share
 
Hypothesis 2(H1): Data inconsistencies are caused by the distribution of data ownership across different business and function areas and across IT systems.
 
Hypothesis 3(H0): Companies that explicitly create a master data stewardship program are significantly more successful in terms of data governance
 
Research Methodology
Research design
For this research I will be using interpretive research design, as its main idea is to assist in understanding, recognizing and restructuring the subject meanings that already exist in the social world so we can use that understanding as steps into theorizing (Goldkuhl, 2012)
 
Research approach and strategy
Qualitative approach will be used for this research as it is suitable for discovering and gaining insight about a problem (Scheidl H, 2011)
 
Data collection
The data collection technique used for this research was one-on-one interview using a semi structured questionnaire. This technique is appropriate to this research as it allows elicitation of information that is not yet uncovered. Time kept for each interview is 45 min for each respondent. (Scheidl H, 2011)
 
Sampling and population
For this research I will use everyday decision makers so to get an understanding of how data influence the decisions that they make.#p#分页标题#e#
 
Data analysis
After having the interviews, I will then summaries the whole interview by making notes of the key points that were given by the respondents. This will assist in making sure that I familiarizes myself with my research.
 
Knowledge gap 
In recent studies there have been increased focus on the importance of Master Data Management. This research contributes to the improvement of the scientific body of knowledge since it explores a part where only little previous study are available.
 
Conclusion 结论
Poor data quality means there will be difficulties where decision makers have to build trust in the company data. Therefore, addressing and integrating MDM at the start should be part of an operational excellence initiative, in order to solve part of the process inefficiencies.
(责任编辑:www.ukthesis.org)


------分隔符-------------------------------------
UK Thesis Base Contacts
推荐内容
  • Proposal范文:Lea...

    本文是一篇留学生论文Proposal部分范文,主要内容是提出关于领导风格和组织绩效的相关研究内容,并提出通过研究组织文化的调节作用,探讨领导风格与组织绩效之间的......

  • 英国毕业论文proposal...

    本文是英国留学生论文写作指导,主要内容是针对英国毕业论文的proposal具体写作方法和技巧进行简单讲解,供参考。...

  • 战略管理硕士preoposa...

    BV是由VITTORIO和劳拉尔尔泰杜在1960年初成立,总部设在米兰,并已在2001七月和Gucci集团合并。...

  • 2014年春股市研究方法:R...

    我们的研究主要是基于德Bondt和泰勒(1985)的理论,研究股市的过度反应,在新兴国家并将​​其应用到资本流动市场。...

  • 新西兰幼儿教育Researc...

    Research Proposal Template研究计划 除了在你的学习指导上提供的信息写作研究建议,以下问题应该引导你的想法关于每个研究建议的不同的组件。......

  • 留学生论文Proposal:...

    本文是留学生论文Proposal,从三个角度即自上而下,自下而上和反思视角观察分析政治环境管理,并提出了一个理论框架来更好实现参与多元化政治环境。...