Computerized Corporate Accounting System †MyAssignmenthelp.com

Question: Discuss about the Computerized Corporate Accounting System. Answer: Introduction: Data analysis can be referred to be a significant factor for improvement of a corporation. Essentially, data analysis as well as data software can also be considerably utilized for the purpose of classification of data of a corporation in a bid to detect the trends as well as patterns and institute an association (Rainer et al., 2013). Techniques for evaluation of data are to certain extent identical to the process of data mining since they assist corporations to attain knowledge regarding trends of customers, organizational as well as industrial patterns along with behaviour. However, all through implementation, business intelligence along with reports assist the entire administration of the corporation as well as corporate employees in the process of deliverance of requisite information. This information are used for carrying out different business operations that can gauged using different diverse performance indicators, functionalities of business and customers and many others. However, it can be hereby witnessed that different reports along with data queries were established for utilization for different end users in the past (Gney, 2014). Nevertheless, these days the business concerns can utilize the service more and more in order to ensure that different analysts as well as functional employees can operate their ad hoc and prepare reports on their own. In essence, data mining as well as data evaluation tools performs classification of a very large data and detect the associations as well as patterns. As rightly indicated by Blattmann et al., (2016), applications of data analysis calls for the need of evaluation of data. However, in case of definite advanced projects, the process starts with assimilation, collection as well as preparation of data. Thereafter, the process also involves enhancement, examination as well as revising of different models of analysis that in turn can help in making it certain that the process can precise outcomes. Moreover, data analysts along with analytics team can assign data engineers who have the task of making data sets ready for analysis. However, the initiatives of evaluation of data can be used in variety of ways by the corporation. For example, banks as well as financial corporations analyze the process of withdrawal along with trends of expends in order to limit fraud as well as identity theft (Stair Reynolds, 2015). Again, the marketing along with e-commerce industries assume clickstream evaluation for detection of visitors to their websites who essentially have the capability to purchase products as well as services. Sousa Oz (2014) opines that the evaluation process starts with data collection in which different data scientists detect requisite information that is needed by the corporation for the purpose of analysis and thereafter for carrying out work autonomously with other co-workers to assemble different tools. However, the information gathered from varied systems of information might have the need to be mixed up with the assistance of data assimilation techniques and altered into a standard format and thereafter downloaded in specific arrangement of analytics (Bazeley Jackson, 2013). Again, in certain cases, the procedure of acquirement of might consist of drawing a proper subset from the entire pool of raw data that essentially flows in to the particular tool and thereafter moves in different divider within the specific system in order to help in the process of evaluation without leaving impact on the entire set of data. However, business concerns are utilizing different data analytics approach as a procedure of acquirement of information that can support the corporation in an improved manner and serve customers well. This in turn can help in enhanced level of satisfaction of the customers with the service of the business. However, the potential of the business to construct multiple data sources generates novel anticipations for development of dependable quality, for example, transformation velocity variance, data on life span, velocity, perishability, and data on dependency on definite data set and granularity (Goyal, 2014). In addition to this, merging of large amount of data analytics leads to generation of novel requirements. In essence, the primary role of data mining as well as data analysis can be considered to be effective for the purpose of achievement of accurate information that are essentially required for proper functioning of the entire business (Sousa Oz, 2014). This helps in knowing what of more important for the functions of the business concern. Again, an accurate set of data acquired after proper analysis using data evaluation as well as data mining helps in delivering outcomes that can again can be analysed by the administration to find out whether the specific data as well as tools are essentially utilized for arriving at the correct answers. Thus, this process essentially exerts impact on the management to arrive at decisions that in turn can help in expansion as well as growth of the entire business concern. In addition to this, the other role of data mining as well as analysis of data involves addition of value to the information technology of a particular business (Warren et al., 2013). Thus, it is significant to enumerate different capabilities of the results of the business that stem from diverse IT services. In addition to this, it is also very important to focus on diverse business objectives and acquire knowledge regarding usage of different IT se rvices that contribute towards establishment of different outcomes of business. This necessarily provides an appropriate base for construction as well as planning particular services that can necessarily be rendered in the upcoming period (Stair Reynolds, 2015). However, the IT services helps in proper functioning of analytics tools. Thus, these tools can help in enhancement of the significance of IT services in different business concerns. However, there are different ethical issues that can be linked to the process of storage, acquirement as well as protection of data as well as information available in the data bases (Gney, 2014). However, the corporations acquire as well as store an entire pool of information concerning clients in the database (Wang Huynh, 2013). Again, these issues can be used to ethical in nature and can be associated to information in the definite data base and are examined from three different perspectives namely, ethical accountabilities of a corporation towards the customers, diverse ethical responsibilities of members of the staff towards the business concern as well as customers along with ethical responsibilities of clients towards the corporation. However, collection as well as restoration of information of customers can be considered to be vital (Gney 2014). This can help in tailoring and customizing customer service functions of the business concern as well as expansion of the business. Again, ethical accountabilities that business concerns essentially have towards the customers orients around acquirement of defined data from clients, and correcting specific errors in the customer data (Rainer et al., 2013). Again, ethical responsibilities that can be related to employees is to limit browsing of information or else records on customers and not selling off the information on customers to the adversaries and not divulging the data on customers to diverse associated parties. Essentially, customers also have ethical accountabilities that can be associated to providing information or else data to business concerns with which they deal. By itself, these can become inclusive of providing detailed data at the time when these data are required (Uyar et al., 2017). There is also requirement for safeguarding different obligations of not divulging the data or else misusing the data available in the corporation (Ismail King, 2014). In essence, ethical issues essentially encom passes around adherence to different privacy laws necessarily with regard to specific information that have been gathered from customers. However, ethics also cover the procedure of storing and the way information can be properly used. The business concerns essentially intends to discover what essentially the customers are buying, reason why consumers are purchasing along with the timeframe of purchase (Du et al., 2015). Essentially, the information is amassed on prospective customers who have enquired regarding products as well as services of the company. In addition to this, the next ethical dilemma points out towards accurateness of information since any incorrect information might lead to fouls. Again, the information that are acquired by the corporation calls for precise as well as accurate in order to ensure that corporations can assume effective decision making and have appropriate knowledge regarding the customers. Accessibility to information on customers can also be considered to be a factor that has ethical implications (Wijaya et al., 2015). The information can be retrieved easily by all the analysts of data as well as engineers. The factor of accessibility calls for certain restrictions that can provide protection to personal information of different customers and prevent misplacement of the information. Therefore, important customer information needs maintained in a specific central database and all the previous information associated to the customers need not be lost. In itself, the ethical implications associated to sto rage, accumulation as well as usage of information is important as this influences customers regarding the fact that their information is safe and secured (Romney Steinbart, 2012). Hence, organization needs to assume certain in order to understand different requirements of customers in addition to essential services to customers in that way increase the profit and gain higher share in the market. Reference List Bazeley, P., Jackson, K. (Eds.). (2013). Qualitative data analysis with NVivo. 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