留学生Business作业代写-商业智能实现利润最大化。本文是一篇留学生商务管理作业写作参考，主要内容是讲述作者之所以选择这个话题，是因为石油和天然气公司的决策对全球经济和整体环境有巨大影响。发达经济体对液态天然气和石油（既作为燃料，也作为化工原料）的需求正在稳步增加。需求提升导致石油和碳氢化合物原料价格整体大幅上涨，这导致所有拥有碳氢化合物矿床的国家对这些产品的开采量增加。石油和天然气部门成为该国国家预算财政资源的主要捐助者。本主题将介绍商业智能（BI）工具如何通过降低成本和数据集成来支持管理以整合流程并实现利润最大化。BI与数据仓库和业务分析一起代表了一个工具包，该工具包允许石油和天然气公司从可用的主要数据中获取最大的信息，并且这篇留学生作业揭示基本趋势并构建预测模型，即最终将可用的公司数据转化为额外利润的来源。除了BI，还出现了业务绩效管理（BPM）、业务流程管理（也称BPM）、企业绩效管理（CPM）和业务活动监控（BAM）等术语。所有这些都是BI的一部分。它们都依赖于BI工具，但需要注意的是，BI并不依赖于它们。下面就一起来看一下这篇留学生Business作业范文。
Objective (Industry over view, BI summary) 目标（行业概览，BI摘要）
I have chosen this topic because the decisions made in oil and gas companies have a huge impact on global economy and overall environment. Requirements of the developed economy for liquid natural gas and oil – both as fuel and as in raw materials for the chemical industry is steadily increasing. Demand lifting has led to sharp increase in the prices for oil and for hydrocarbon raw materials as a whole, which has caused increase in extraction of these products in all countries possessing deposits of hydrocarbons. The oil and gas sector became the main donor of financial resources for the state budget of the country. This topic will cover how Business Intelligence (BI) tools support management to consolidate procedures and to maximize profits, through cutting costs and data integration. BI along with data warehouses and business analytics represent that toolkit which allows oil & gas companies to take a maximum of the information from the available primary data, to reveal the basic trends and to construct forecasting models, i.e., finally, to transform the available company data into a source of additional profit. In addition to BI, terms like business performance management (BPM), business process management (also BPM), corporate performance management (CPM), and business activity monitoring (BAM), have also emerged. All of these are a part of BI. They are all dependent on BI tools, but it should be noted that BI is not dependent on them.
In my understanding BI-projects need to be considered not only as object of reduction of expenses, but also as the tool of development which can bring profit to company. Functions of analytics and forecasting which are intended for the decision of strategic questions, will help to place priorities during crisis time, to define principal causes of expenses and potential sources of growth. Having found out them such company can work over deduction of favourable clients and increase of profitableness of business at the expense of attraction of the new. Only with the help of BI it is possible to carry out forecasting of situation, setting different conditions and receiving results of forecasts depending on the set parameters.
在我的理解中，BI项目不仅需要被视为减少开支的目标，还需要被视作为能够为公司带来利润的开发工具。旨在决定战略问题的分析和预测功能将有助于在危机时期确定优先事项，确定支出的主要原因和潜在增长来源。在发现这些情况后，这家公司可能会以吸引新客户为代价，过度减少有利客户，增加业务利润。只有在BI的帮助下，才能根据设置的参数进行情况预测、设置不同的条件和接收预测结果。
The primary application of BI in oil and gas companies is to help management consolidate operations and cut costs. The basic goals have been to shorten the time required to create reports and analyses, improve the accuracy of information and create a single information repository. The most common application areas for BI have been to provide financial reports and analyses, and support business operations with a special focus on ERP. In our days the modern large oil and gas companies represent vertically integrated companies. Vertical integration describes the ownership or control by a firm of different stages of the production process, e.g., petroleum refining firms owning “downstream” the terminal storage and retail gasoline distribution facilities and “upstream” the crude oil field wells and transportation pipelines. It can be achieved through M&A (mergers and acquisitions) or investment. Upstream is a term which describes the exploration and production sectors within the oil and gas industry. Downstream, in the context of the oil and gas industry, applies to the refining and marketing sectors of the industry. Oil and gas products are commodities and are, therefore, competitive based on price. This makes the industry cost-conscious and highly dependent upon the price of crude oil, the basic business driver in the industry and the raw material for production (Skriletz, 2002).
BI在石油和天然气公司的主要应用是帮助管理层整合运营并降低成本。基本目标是缩短创建报告和分析所需的时间，提高信息的准确性，并创建一个单一的信息存储库。BI最常见的应用领域是提供财务报告和分析，并以ERP为重点支持业务运营。在我们的时代，现代大型石油和天然气公司代表垂直整合的公司。垂直整合是指公司在生产过程不同阶段的所有权或控制权，例如，炼油公司拥有“下游”终端储存和零售汽油配送设施，以及“上游”原油油井和运输管道。它可以通过并购（兼并和收购）或投资实现。上游是一个术语，描述石油和天然气行业内的勘探和生产部门。就石油和天然气行业而言，下游适用于该行业的炼油和营销部门。石油和天然气产品是商品，因此在价格上具有竞争力。这使得该行业对成本有意识，并高度依赖于原油价格，原油价格是该行业的基本业务驱动力和生产原材料。
Purpose of the research 研究目的
The increased requirements to efficiency and quality of accepted decisions at all levels of operations in oil & gas companies leads to finding of decision-making support techniques. It assumes possession of the actual universal information on a condition and tendencies of development of business by methods and BI means. Thus the volume of the information which is necessary for considering for formation of optimum well-founded decisions steadily grows. It leads to a situation when it becomes effectively impossible to operate the company without use of modern means of information support. Transactional data is good for keeping track of what is happening in an organization, but is not well suited to finding out why things are happening or predicting future performance. In other words, after years of putting potentially valuable financial data into your corporate databases, it is now time to put the tools in place to get the data out of the same systems and organize it in useful ways to support the decision-making process.
石油和天然气公司各级运营对公认决策的效率和质量要求的提高导致了决策支持技术的发现。它通过方法和BI手段掌握了关于业务发展状况和趋势的实际通用信息。因此，为形成最佳且有充分依据的决策所需的信息量稳步增长。这导致了一种情况，即如果不使用现代信息支持手段，就无法有效地运营公司。事务性数据有助于跟踪组织中正在发生的事情，但不太适合于找出事情发生的原因或预测未来绩效。换言之，在将潜在有价值的财务数据放入公司数据库多年之后，现在是时候将这些工具放到适当的位置，以便从相同的系统中获取数据，并以有用的方式组织数据，以支持决策过程。
The purpose of the research is to show that BI is such a tool which gives the chance to the organisations to transform the accumulated data in the information on business, and then the information into additional source of profit. The research question is how the value of BI should be considered in the context of profitable business action. BI has become an expected business competency for improving decision-making effectiveness. Leading enterprises are establishing competency in aspects of BI such as decision modelling and support so that all workers, managers and executives can take the most effective action in a given business situation. Lacking worthy BI tools oil companies risks to stay competitive or even to sustain in a business.
研究的目的是表明BI是这样一种工具，它使组织有机会将商业信息中积累的数据转化为额外的利润来源。研究问题是如何在有利可图的商业行为中考虑商业智能的价值。商业智能已成为提高决策效率的一种预期业务能力。领先企业正在建立BI方面的能力，如决策建模和支持，以便所有员工、经理和高管能够在给定的业务环境中采取最有效的行动。缺乏有价值的BI工具，石油公司有可能保持竞争力，甚至无法维持业务。
What is more I want to apply my research outcomes in KMG, the problem is that BI is not so developed in Kazakhstan, so I hope my knowledge will be gainful to my company as employer and to me as employee.
更重要的是，我希望将我的研究成果应用于KMG，问题是BI在哈萨克斯坦并不发达，所以我希望我的知识对我的公司和我的员工都有好处。
Literature 文献著作
There is currently enough media attention focusing on this subject and about this topic. A majority of these can be found in IT magazines, newspaper articles and on the internet, but the credibility of these sources is questionable. They can also be written by people who don’t know a lot about the subject and have formed an opinion based on minimum information. IT magazines articles are often written in a biased way in terms of being in favour of one vendor, such as company propaganda or from the point of view of the writer. This data can be misleading, articles written by Gartner and TDWI analysts have more credibility and raise important questions and viewpoints which I believe should be considered in my report. Below is the list of books and resources I am willing to use during my research:
目前有足够的媒体关注这个主题和这个话题。其中大部分可以在IT杂志、报纸文章和互联网上找到，但这些来源的可信度值得怀疑。他们也可以由那些对这个主题不太了解的人撰写，并且已经形成了基于最少信息的观点。IT杂志的文章通常以偏向某个供应商的方式撰写，例如公司宣传或作者的观点。这些数据可能具有误导性，Gartner和TDWI分析师撰写的文章更有可信度，并提出了我认为应该在报告中考虑的重要问题和观点。以下是我在研究期间愿意使用的书籍和资源列表：
The Profit Impact of Business Intelligence (2007), Williams S., Williams N.. Morgam Kaufmann Publishers
《商业智能的利润影响》Morgam Kaufmann出版社
This book contains plenty of mini-cases and useful information for my project.
这本书包含了大量的小案例和对我的项目有用的信息。
Business Intelligence, The Savvy Manager’s Guide (2009), D.Loshin, Morgan Kaufmann Publishers
《商业情报》，《精明经理人指南》摩根·考夫曼出版社
This book provides a knowledge base for the decision makers to determine the value of integrating BI into the company. In this book I want to look at the modern view of the collection and integration of transactional and reference data as a valuable resource that can be used for analytical purposes.
本书为决策者提供了一个知识库，以确定将BI集成到公司中的价值。在这本书中，我想探讨事务数据和参考数据的收集和集成的现代观点，这是一种可用于分析目的的宝贵资源。
BI Success Factors: Tools for Aligning your Business in the Global Economy (2009), O.Parr Rud, John Wiley & Sons
BI成功因素：在全球经济中调整业务的工具
Financial BI : Trends, Technology, Software Selection and Implementation (2002), Nils Rasmussen, Paul S. Goldy, Per O. Solli, Publisher: John Wiley & Sons; 1 edition
《金融BI：趋势、技术、软件选择和实施》（2002年）
This book will help me to review how managers can quickly and easily analyse the financial data in the corporate databases in order to be able to make more intelligent decisions about the future. Consequently it will help me to analyse the impact of BI financial tools.
这本书将帮助我回顾管理者如何快速轻松地分析公司数据库中的财务数据，以便能够对未来做出更明智的决策。因此，它将帮助我分析BI金融工具的影响。
TDWI Best Practices Reports Series
TDWI最佳实践报告系列
This series is designed to educate technical and business professionals about new BI technologies, concepts, or approaches that address a significant problem or issue. Research for the reports is conducted via interviews with industry experts and leading-edge user companies and is supplemented by surveys of BI professionals.
本系列旨在向技术和业务专业人员介绍解决重大问题的新BI技术、概念或方法。报告的研究是通过对行业专家和领先用户公司的采访进行的，并辅以对BI专业人员的调查。
Gartner Inc.高德纳股份有限公司
Gartner source is the most comprehensive collection of analysis and advice for the users and vendors of technology.
高德纳是为技术用户和供应商提供的最全面的分析和建议集合。
Methodology 方法论
In my research I want to follow multi -method, which will contain:在我的研究中，我想采用多种方法，包括：
Interview: To get more practical point of view I am going to interview those who work on implementation of BI tools and use SAP-ERP in gas transportation, to be more precise financial department in KazMunayGas and KazTransGas. KazMunayGas is the state-owned oil and gas company of Kazakhstan and KazTransGas one of KazMunayGaz subsidiaries responsible for gas transportation.
采访：为了获得更实际的观点，我将采访那些致力于实施BI工具并在天然气运输中使用SAP-ERP的人，更准确地说，是KazMunayGas和KazTransGas的财务部门。KazMunayGas是哈萨克斯坦的国有石油和天然气公司，KazTransGas是负责天然气运输的KazMunay Gaz子公司之一。
Trend analysis: Phenomena that are or have been in the process of change are examined to identify and report the directions of trends and to make interpretations and forecasts.
趋势分析：对正在或已经在变化过程中的现象进行检查，以确定和报告趋势的方向，并作出解释和预测。
Literature: As I mentioned previously
文献：正如我之前提到的
Qualitative data sources (TDWI and Gartner) will contain different cases in my research. Conducting qualitative research requires an ‘open’ attitude in order to understand how others experience their situation. Qualitative research is characterised by the fact that the researcher works on the basis of an open question
定性数据源（TDWI和Gartner）将在我的研究中包含不同的案例。进行定性研究需要一种“开放”的态度，以了解他人如何体验他们的处境。定性研究的特点是，研究者基于一个开放的问题进行研究
Qualitative research represents the general name for a group of investigative procedures with common characteristics. Also, qualitative research is empirical in the same sense as other recognized forms of scientific inquiry. It relies on observation.
定性研究是一组具有共同特征的调查程序的总称。此外，定性研究与其他公认的科学探究形式一样，都是实证研究。它依赖于观察。
Qualitative research encompasses several forms of the investigation. They all share this characteristic: The data used do not accommodate readily to quantification, specification, objectification, or classification. Because of that, common statistical procedures cannot be used for data display or analysis. Typical of such data might be reports of participant observation or the texts of in-depth and relatively unstructured interviews.
定性研究包括几种形式的调查。它们都有这样的特点：所使用的数据不容易适应量化、规范化、对象化或分类。因此，常用的统计程序不能用于数据显示或分析。典型的此类数据可能是参与者观察报告或深度和相对非结构化访谈的文本。本站提供各国各专业留学生代写或指导服务，如有需要可咨询本平台。