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美国作业代写:Financial analysis in the age of large data

2018-02-08 来源: 51due教员组 类别: Paper范文

下面为大家整理一篇优秀的paper代写范文- Financial analysis in the age of large data,供大家参考学习,这篇论文讨论了大数据时代财务分析。大数据时代的数据和传统意义上的数据产生了本质的变化,因此,基于传统数据库的财务分析模式必须要完善。因为每个行业和每个企业都有不同的特点,对于大数据的使用将会有很大的差异,制定财务战略将有助于企业找到有自身特点的企业财务方向,进而构建自己的财务体系。大数据时代的财务分析体系是一个系统工程,企业需要了解自己所处的位置,然后选择是需要整体构建这样的财务分析体系还是只针对某一个环节做出调整。最后,制定清晰的构建战略。

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So far, there is no definite definition of what large data is. Manish, McKinsey and EMC have all come up with definitions of big data, most of which are defined by data size, data format, data source, and the processing technology needed, but not the same.

From the traditional point of view, financial analysis is the analysis of financial statements. For people outside the enterprise, including creditors, investors, accountants or other auditors, as well as tax authorities, they generally can only obtain the financial statements published by the enterprise, so for them, financial analysis is completely equivalent to the financial statement analysis. For internal managers, in addition to the financial statements mentioned above, can also obtain general ledger and vouchers, such as the details of the composition of the report.

Therefore, with the development and maturity of large data technology, enterprise internal managers can synthesize the financial analysis by synthesizing all the information sources.

Before the establishment of a large data financial analysis system, some enterprises already have some independent business system applications, but the data processing and utilization, only reflected in some basic data query function, including General Ledger management, capital Management, fixed Asset management, report management and so on. These query functions can not meet the day-to-day management of enterprises, business analysis, risk management and other needs. Current financial Analysis system is not adapted to the status quo as follows:

Different departments in charge of enterprises require the submitting personnel of financial statements to submit the data according to different caliber, which can easily cause the error of incorrect aperture. This requires that the data in the report has been clearly differentiated according to each caliber, but in actual work, some financial indicators are complex, data sources are scattered, can not be obtained from a single interface. At the same time, there are significant differences between the calculation method and the final result of the existing index under different statistic caliber, which needs to adjust the original index calculation caliber.

As the data query function is directly built in the general ledger management, Fixed Assets Management, fund management, report management subsystem based on these subsystems are used to support the operation of the design, is a typical OLTP application. Based on these subsystems, the resource consumption is very high and the running efficiency is slow.

At present, many kinds of enterprise Financial Analysis Index system, mostly in order to meet the requirements of the corresponding centralized departments assessment system indicators, but the enterprise management often hope that in a query to see a targeted, systematic comprehensive financial indicators analysis results, based on the current architecture is difficult to achieve.

At present, the main list of reports, multidimensional analysis mainly, but these are not suitable for many data applications of the perfect way of information display.

Systems that are implemented on a constant basis do not take into account the ever-changing needs of the new requirements, and the information sector is struggling to cope.

First, make a financial strategy. Because each industry and each enterprise have different characteristics, for the use of large data will have a great difference, the formulation of financial strategy will help enterprises find their own characteristics of the enterprise financial direction, and then build their own financial system. Second, determine the actual enterprise. Large Data Age Financial Analysis system is a systematic project, enterprises need to reach a certain scale will have a large number of business and a huge amount of information, the use of a large number of technologies need to have a strong it capacity as a guarantee. Therefore, enterprises need to understand their location, and then choose whether the overall construction of such a financial analysis system or only for a certain link to make adjustments. Again, finally, make a clear construction strategy. The construction process needs to rise to the strategic level because it is a grand project, not overnight, the enterprise needs to gradually complete it, which may take a long time. One point to mention is the adjustment of an enterprise's IT architecture. This is a first step, adjust the direction based on the change for the application of the IT model, build large data processing capacity, to achieve distributed deployment, choose the scalability of good performance platform.

In the process of building a marketing system, the control of risk is very important, otherwise such a significant investment and huge amount of energy investment may face failure. First, the implementation of the project may face a shortage of professionals, and members of the implementation team may lack skills and experience. Therefore, training and concept education are essential before the project starts, and the complexity of the technology itself and the difficulties of analyzing logic may require the project team members to continue to charge. Second, there is a risk of new technology being added. In building information collectors, it may be necessary to add pattern recognition, graphic recognition and other technologies, the use of these new technologies will increase the overall stability of the system reduced risk. Thirdly, there are strict requirements for data quality. There is a clear definition of what data should be collected, and the system will be overburdened if the data quality requirements are low. Finally, pay attention to security issues. Safety is to be concerned from beginning to the beginning, the security of the system must be high, otherwise it will bring great legal risk to the enterprise.

First, a flexible query. Users often need to query in a large number of data related to decision-making and useful data, flexible query can not only provide users with convenient query methods, but also conducive to users from a wide range of perspectives to understand and apply the query results. At the same time, we can further improve the selection mechanism of performance indicators, select the real relevant indicators of value promotion, and realize the transition from passive acceptance of superior assignment to active guidance evaluation.

Secondly, multidimensional analysis technology. In the actual use of financial data for analysis and decision-making, users often face quite complex problems, which requires multidimensional analysis technology to further integrate existing data sources, improve the data center access mechanism, improve the automation in the calculation process of the index, and quickly complete the analysis of these high degree of financial problems.

Again, easy to maintain. Maintenance is the user in the use of the process often need to do, an easy to maintain the system can greatly reduce the user's work complexity and workload.

Finally, the mode of human-computer interaction. Users in the analysis of the query, only in accordance with their actual work needs to determine and input the nature and scope of the required information, the system can output the results of the user needs, so as to greatly improve the efficiency of financial work.

After the establishment of enterprise's financial and business information integration, the enterprise product starts from the investment decision, utilizes the integration system to be able to fully embody each product according to the production link accounting the complete process, namely the enterprise's business, the finance, the management organic fusion, causes the finance and the business to integrate, in the information platform, realizes the financial business data sharing, Can control the economic business in real time, provide the data of decision analysis for management efficiently, and provide the good condition for the completion of each product of the enterprise. Establish this statistical analysis system, timely, effective, real-time for users to provide financial analysis indicators, the real accounting control functions play out.

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