Importance of Data Analysis in Business Development

1.           

Table: Flow Chart for payment of operations of Emporium Trading regarding

2. It has been discerned that the functioning of the organization has been seen to play a pivotal role in the development of the organization. The data analysis process used in the organization has been able to recognize the various types of the trends which have been seen to be related to establish the necessary relationship. The data analysis technique has been further seen to be implemented based on the achieving of more knowledge, customer trend and the overall industrial pattern and behavior (Abduljalil & Zainuddin, 2015)

The level of application of the business intelligence and the discourse in the study is seen to aid the managing of the necessary functions related to the information to the corporate employee and aiding them with the actions to show the vital performance indicators, customers, operations of the commercial activities and many more operations. It has been further observed that the past report and the data queries have been established based on the end users. However, it needs to be taken into considerations that the firms have been able to make use of the increasing service (Yigitbasioglu, 2016). By doing this the firms will be able to assist analyst and the various types of the operational employees in terms of functioning of the ad hoc and the queries and the construction of the reports. It has been further observed that the data analysis and the data mining analysis tool are seen to involve the classification with use if large data set and recognizing the patterns and the relationship (Alewine, Allport, & Shen, 2016).

The analysis of the data associated to the application is seen with data collection and the data scientists in terms of the recognition of the information for the specific application of the analysis and work independently along with the co-workers for assembling of the tools used for the study. The different types of the system of the information may be required to mix with the assistance of the integration of the data with the routines and the changes in the standard format. In certain cases the data collection process is seen to comprise of the proper subset of the pool of the raw data, which is seen to flow with the different divider into the system so that the impact on the whole data set can be evaluated (Christensen, Nikolaev, & Wittenberg-Moerman, 2016).

Importance of IT Services in Business Development

The organization is seen to make the best of the various types of the available data   to make use of the data analytics in obtaining the necessary information to support the firm in a better way to satisfy the service. The ability of constructing multiple sources is observed make new anticipations for the developments of the reliable quality. For example, to come across for variance in the transformation velocity, dependency on a specific set of data, perishability and granularity is used. The convergence of the data analytics results in creation of new requirements for achieving of the precise information and make sure that the there is a reliability in the extrinsic data, which are seen to be uncontrollable and authenticating of the various types of the relationship among the elements. This is mainly done to evaluate the synergies and the gaps in the data and attribute various types of the other relationship to highlight the biasness in the skewed data. The primary function of the data mining and the analysis is seen to helpful for the achievement of the correct information for the appropriate functioning of the business (Endraria, 2016). This can be done by getting to know about the operations which are more significant to the operations in the business for getting better idea of the data. The accurate data set is seen with the relevant analysis based on the data analysis and the data mining for depicting the correct answer which will be able to influence the management for undertaking the necessary decision to expand and grow the company. The other role of the data mining process has been seen in terms of the adding of value in the information technology for the business. It has been further seen to be significant for the computation of the business capabilities to evaluate the business results which is as a result of the IT services. It has been consider important to concentrate on the goals of the business and the method of the usage of the various types of the IT services (Xing et al., 2014). The IT services has been seen to established with the various types of the business outcomes and provide the appropriate result for planning and the constructing of the necessary planning services which are to be rendered in the future. The IT service is seen to be relevant for the appropriate functioning of the analytics tools. Hence, it has been seen to be necessary to upgrade the importance of the various types of the IT services in the organization (Gullberg, 2016).

Ethical Considerations

The various types of the ethical issues has been further associated to the protection, storage and the collection of the databases. The company has been seen to gather and store a large collection of data  in terms of the information of the databases. The organizations are further seen to store a pool of information in terms of the database of the customers. The various types of the issues which are seen to be ethical are tested in terms of the ethical responsibilities of the firm and driving the customers for ethical accountabilities and the ethical accountabilities of the consumers for the company (Kanellou & Spathis, 2013). The collection of the data and the restoration of the customer information are seen to be necessary customizing of the program of the organization and growth of the business. The ethical responsibilities have been seen in terms of the collection of the appropriate information from the customers and rectification of the various types of the errors in terms of discovering of the customer data. Some of the other considerations made in the ethical context have been seen in terms of the compliance with the privacy laws in terms of the information which are collected from the customers. The ethics of same has been further considered to cover the process of storing and utilizing the information (Klovien? & Gimzauskiene, 2015).  The collection of the information is seen to be done from the customer. The organization needs to further discover the reason for the purchasing decisions and the timeframe for purchasing. The information is further seen to be collected in respect of the potential customers who are seen to have done investigations for the goods and the services of the products (Nan & Wen, 2014).

The next important ethical consideration is seen with the accuracy of the information which may be seen in terms of the misinformation which may lead to fouling of the customers. This information is further seen to be collected from the organization, which requires precise and accurate information to undertake the necessary decision for the proper knowledge about the customers so that they are able to serve the customers appropriately (Sadighi, 2014).

The access to the information is further seen to be done in a way so that the information can be accessed with ease by the engineers and the various types of the analyst of the data. It is seen to be of prime importance to make the best use of the information which cannot be accessed by the other employees and not associated to the function. The accessibility of the function is further seen to be limited to the safeguarding of the personal information from going into wrong hands. The data needs to be further stores in such a style so that it can be utilized in the desired way. It is further seen to be vital for the customer information (Trigo et al., 2014). This is further seen to be kept in the central database and the various types of the previous information of the customer are not lost. The ethical implication is observed in terms of the using, gathering and storing of the necessary information while gaining of the necessary information until the customer is seen to be satisfied. Therefore it essential for the company to undertake the steps which is associated to understand the necessary requirement so that it can be used to provide the necessary and the extensive information for increasing the profit and the value in the market (Sheng, 2015).

Reference:

Abduljalil, K. M., & Zainuddin, Y. (2015). Integrating Technology Acceptance Model and Motivational Model towards Intention to Adopt Accounting Information System. International Journal of Management, Accounting and Economics, 2(5), 346–359.

Alewine, H. C., Allport, C. D., & Shen, W. C. M. (2016). How measurement framing and accounting information system evaluation mode influence environmental performance judgments. International Journal of Accounting Information Systems, 23, 28–44. https://doi.org/10.1016/j.accinf.2016.10.002

Christensen, H. B., Nikolaev, V. V., & Wittenberg-Moerman, R. (2016). Accounting Information in Financial Contracting: The Incomplete Contract Theory Perspective. Journal of Accounting Research, 54(2), 397–435. https://doi.org/10.1111/1475-679X.12108

Endraria. (2016). Users competence and influence on the quality of accounting information system. Journal of Theoretical and Applied Information Technology, 86(1), 130–137.

Gullberg, C. (2016). What makes accounting information timely? Qualitative Research in Accounting & Management, 13(2), 189–215. https://doi.org/10.1108/QRAM-03-2014-0019

Kanellou, A., & Spathis, C. (2013). Accounting benefits and satisfaction in an ERP environment. International Journal of Accounting Information Systems, 14(3), 209–234. https://doi.org/10.1016/j.accinf.2012.12.002

Klovien?, L., & Gimzauskiene, E. (2015). The Effect of Information Technology on Accounting System’s Conformity with Business Environment: A Case Study In Banking Sector Company. Procedia Economics and Finance, 32(15), 1707–1712. https://doi.org/10.1016/S2212-5671(15)01476-8

Nan, L., & Wen, X. (2014). Financing and Investment Efficiency, Information Quality, and Accounting Biases. Management Science, 60(9), 2308–2323. https://doi.org/10.1287/mnsc.2013.1864

Sadighi, M. (2014). Accounting system on cloud: A case study. In ITNG 2014 – Proceedings of the 11th International Conference on Information Technology: New Generations (pp. 629–632). https://doi.org/10.1109/ITNG.2014.26

Sheng, Z. (2015). The Internal Control Research of Accounting Information System Based on OPM3 Model. Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering, 121, 1927–1930.

Trigo, A., Belfo, F., & Estébanez, R. P. (2014). Accounting Information Systems: The Challenge of the Real-time Reporting. Procedia Technology, 16, 118–127. https://doi.org/10.1016/j.protcy.2014.10.075

Xing, W., Lv, J. L., & Xian, M. (2014). Research on the Interactive Visualization Technique of Accounting Information System. Advanced Materials Research, 998–999, 1335–1338. https://doi.org/10.4028/www.scientific.net/AMR.998-999.1335

Yigitbasioglu, O. (2016). Firms’ information system characteristics and management accounting adaptability. International Journal of Accounting and Information Management, 24(1), 20–37. https://doi.org/10.1108/09574090910954864