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Emporium Trading Company purchases products from Asia and then resells them to local retailers. During the last 2 years demand for the imported products has increased significantly. Emporium Trading is expanding its local operations, including a new information system, to assist with managing the increase in purchases. You work as a consultant systems analyst, and you have been tasked with preparing documentation to assist with the identification of the current business processes in order to facilitate the identification of a suitable system for the acquisition and payment for products.Based on the interview below with the department supervisor, prepare a document flowchart using a system tool, to document the acquisition to payment system that currently exists at Emporium Trading Company.

A purchase requisition is sent from the inventory system to the purchasing department clerk. The clerk prepares the PO using the vendor and inventory files and emails the PO to the vendor. The vendor returns a vendor acknowledgement to the clerk indicating receipt of the PO. The purchasing clerk then sends a PO notification to the Accounts Payable clerk.
When the receiving department accepts the vendor goods, the inventory system automatically send the AP clerk a receiving report. The AP clerk also receives invoices from vendors.

The vendor invoices are matched to the PO notification and the goods receipt by the AP clerk, who then updates the accounts payable master file. Payment request is then sent by the AP clerk to the accounting department. All files at Emporium Trading are filed in date order.The accounting department then prepares the EFT file for vendor payment. Once the payment has been approved, the system automatically updates the AP master file and the general ledger, and forwards the payment details to the bank.

A system tool includes software such as Word, Excel, Smartdraw or Edraw. There are many tools that are available to trial for free on the internet.

Business Intelligence Research

Using appropriate authoritative sources, create a 1,500 word research report that:

  • explains the role of data analysis tools and data mining in contemporary organisations
    • identifies and explains the ethical implications around gathering, storing and using customer information

In Resources is an article by Dean, Payne and Landry (2016) which may be a good starting point for your research.
Your research should include such sources as the professional body articles as well as text books and peer reviewed academic journals. Vendor websites are not considered to be appropriate sources of information for this task. Use APA referencing in your report.

Discussion

Contemporary organization have witnessed significant changes in the advanced information technology. The objectives of business is fulfilled by incorporating the concept of business intelligence that helps in creation of clear and realistic concept dealing with data management (Du & Huddart, 2016). The report presented below discusses about the role of data analysis and data mining in the contemporary organizations. In second part of report, the ethical implications about storing, using and gathering data gas been explained and analyzed. For the analysis of data, there has been some promises and risks involved.

Discussion:

Role of data mining and data analysis in contemporary organizations:

Detonation of data has increased due to evolvement and introduction of online services. Such data are constructed by the organizations offering extensive services and consumers. It is therefore required by several organization to make use of tools of data mining and data analytics. It would help the organizations to gain information and knowledge about consumers in detail.

It is well known to the consumers that organizations may be mining the information so that they can gain insight into their preferences but they do not consider ethical to have access their personal information, as they do not desire it. Considering this fact, the need of maintaining the technical issues and ethical principles is significant (Prasad & Green, 2015). Various issues relating to data are revealed by data mining process and hence proper and appropriate usage of techniques of data are displayed by various view point.

The process of generating information from vast amount of history that helps in gaining the information of the organization regarding the aspects of customers is referred to as data mining. The starting point in gaining the knowledge and unearthing of procedures is data mining. The overall process of mining of data involves web data mining and web mining as augmented by the knowledge. Other aspect is making use of documents and web services and encompasses mechanism that is used to reveal data mechanically and gain information.  

Code of ethics and safety is required to be incorporated in the process of data mining for dealing with associate trauma to community and restricting the confidentiality incursion. One of the broadest destination of work that is intended to be done is given by data protection. The safeguarding policies of enhancing data is done by constructing the regulatory principles by organization (Romney & Steinbart, 2015). It acts as starting point of making active such approach. Data mining is regarded to be of supreme importance as demonstrated in the rehearses.

Sharing of the facts of data is to be permitted and several promotional proposals would be removed by inhabitants sing the opt in systems. Making utilization of targeting of consumer offerings by making use of data miming in contemporary organizations. Some of the authentic data mining uses as depicted by few authors are national security, anti-fraudulent activities and crime prevention in addition with stalking of products that are considered defective. Data mining has got significant importance in the area of healthcare and research. Since the consumers have expectation from organization of fulfilling their requirement and preferences (Abbasi, 2014). The utilization of data mining platform in the monarchy firm is required for such facts.

Role of data mining and data analysis in contemporary organizations

Forecasting of future trends that assist the organization in making practical decision making and undertaking activities for gaining knowledge is done using the tool of data mining. For answering the questions for solving the problems, data mining is considered a tool of relative importance. For the concealed trend, the tool helps in polishing of the databases and in addition to this, prognostic information are also revealed by this tool. It is quite possible that analyst would lie abo the exterior aspects and they miss out considering those.

There are five important component of data mining and they involve stocking and managing the stock in database of multi-dimensional system. Recording, citing and transforming the information in the data granary system. Professional and researchers who are involved in the information system are provided with access to data and making use of application software for investigation of data. In the statistical arena, such mechanism act as game changer. Mechanism of traditional evaluation is not used regarding making of decisions and such fact is considered significant within this dominion (Moghadam et al., 2013).

  Companies are able to determine relationship between external factors such as economic indicators competition and demographic and internal factors such as skills of staffs, products positioning and price. Drilling down of the information at the end helps the organizations in summarizing them by detailing of transactional data. Mining will help the organization in targeting the specific of customers by way of product development and promotions. It can be explained with the help of instance. Wesfarmers have been providing access of information about their customer information their suppliers by way of data mining (Mancini et al., 2015).  

Explanation and identification of ethical information around storing, gathering and storing of customer information:

Investigating into the data mining ethics is considered vital for analyzing the ethical culture and standards in maintaining the information of customers. Considering about the fact that is either right or wrong about ethical and unethical is depicted by the beliefs of standards.  The communal inherent principles are incorporated in word culture. The attitude of organization and individual is aided by packing of moral values and is regarded as perfect factor for functioning of work that is enforced by law and considered by community. It is certainly possible that activities of organization are regarded as legal despite being unethical (Collier, 2015).

Firms are considered accountable to their consumers relating to gathering of significant information and making or solving the mistakes depicted by consumer’s stats and it is the ethical liabilities of firms. Construction of ethical codes by organization is based on five fundamental principles and this revolves around maintaining of optimistic relationship with stakeholders and impact on management of organizations by optimistically effect of ethical codes.

A desirable internal ingredient is manufactured by creation of healthy honorable culture that delivers the output in enhanced way (Bhimani & Willcocks, 2014). Appeasing the Concerns of public regarding the ethical style and authenticity of managerial decisions are framed in codes. Such codes helps in realization of safeguarding of information of customers that have been gained by organization in ethical way. A permissible base attitude is created by utilizing the codes on additional basis (Apostolou et al., 2014). It will not share the personal information with the parties that should not be disclosed with such information. Ethical standards are endorsed in an organization using the ethical code of conduct.

Explanation and identification of ethical information around storing, gathering and storing of customer information

One of the biggest concern of customers are privacy that is dependent on collected data volume. At all levels say public, healthcare, education, private and entertainment, customers are concerned about their privacy in relation to collection of data by companies. Some significant issues are reliability and accuracy when company makes decision on altering of database and some relevant changes. Some of dirty form of redlining and quick analytics are distinguished by making use of big data (Li et al., 2014).

There are three different perspective that the companies have when examining the database and it is the responsibility to share such perspective with customers as well as employees. Protecting and safeguarding the database of customers from getting it shared by any external elements is one of the functional fact of company. Some of other aspect that comes under ethical responsibility of customers are gaining support of customers in maintaining the databases. Such database are dependent upon return and purchase of goods and services.

The employees of companies should not disclose records of customer until the customer or companies needs it. Work confidentiality property is one of the major responsibility of company (Corsi et al., 2017). There has been a trend of rising business technologies due to evolvement of electronic business and this has moved to forefront.

Data accessibility about customers is one of the ethical implications and making the information easily available is assisted by comprehensive plan introduced by organization.  Making the data available to only concerned parties is regarded as the maintenance of ethical standards. Privacy of information is secured by incorporating ethics on sharing of data as it prevents in reaching the data into undesirable hands. It is required that information should be kept in multi-dimensional database so that researchers involved in data mining can easily access them along with marketing professionals (Fitriati & Mulyani, 2015).

Conclusion:

From the above analysis, it can be concluded that information about customers should be gathered by incorporating ethics are considered essential. This is done by improving the services that are delivered to customers and by making good marketing efforts. The information specifically used by companies in altering the products should be well informed to consumers as transparency is regarded as one of the key factor. It is so because companies will be much more time efficient  and customers will be much more satisfied as all the required information will be known to company after ,making disclosure to them.

Reference:

Abbasi, H. (2014). Role of Management Accounting Information System in Organizations. Journal of Business and Technovation, 2(1), 96-102.

Apostolou, B., Dorminey, J. W., Hassell, J. M., & Rebele, J. E. (2014). A summary and analysis of education research in accounting information systems (AIS). Journal of Accounting Education, 32(2), 99-112.

Bhimani, A., & Willcocks, L. (2014). Digitisation,‘Big Data’and the transformation of accounting information. Accounting and Business Research, 44(4), 469-490.

Collier, P. M. (2015). Accounting for managers: Interpreting accounting information for decision making. John Wiley & Sons.

Corsi, K., Castellano, N. G., Lamboglia, R., & Mancini, D. (Eds.). (2017). Reshaping Accounting and Management Control Systems: New Opportunities from Business Information Systems (Vol. 20). Springer.

Du, K., & Huddart, S. (2016). Accounting Information Systems, Investor Learning, and Stock Return Regularities.

Du, K., Huddart, S. and Xue, L., 2015. Accounting Information Systems and Asset Prices.

Fitriati, A., & Mulyani, S. (2015). Factors that affect accounting information system success and its implication on accounting information quality. Asian Journal of Information Technology, 14(5), 154-161.

Li, Z. W., & Bai, D. (2014). Research on accounting decision support system based on data warehouse and data mining. In Advanced Materials Research (Vol. 989, pp. 4819-4822). Trans Tech Publications.

Lim, F. P. (2013). Impact of information technology on accounting systems. Asia-Pacific Journal of Multimedia Services Convergent with Art, Humanities and Sociology, 3(2), 93-106.

Mancini, D., Dameri, R. P., & Bonollo, E. (Eds.). (2015). Strengthening Information and Control Systems: The Synergy Between Information Technology and Accounting Models (Vol. 14). Springer.

Moghadam, H. M., Akhavansaffar, M., Bakhshaei, Z., & MirHosseini, S. Y. (2013). Effect of investment in information technology system on providing desired services of accounting information system. Elixir International Journal A, 55, 13268-13273.

Prasad, A., & Green, P. (2015). Organizational competencies and dynamic accounting information system capability: impact on AIS processes and firm performance. Journal of Information Systems, 29(3), 123-149.

Romney, M. B., & Steinbart, P. J. (2015). Accounting Information System Thirteen Edition.

Shoaei, S., & Rahimi, R. (2014). Accounting Information System Cycles, Management Accounting Basis. Asian Journal of Research in Business Economics and Management, 4(8), 381-394.

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