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Business Intelligence A2

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Business Intelligence A2

Business intelligence in an organization assist business managers, cooperate executives and other works in making a decision concerning the daily operations of the firm. For instance, Cooper Energy limited is the most productive company in Australia that deals with exploration and production of petroleum (Chopra and Wyborn 2003, Vol43). The company generates a lot of government revenue through the supply of gas to several parts of Australia such as southern Australia. The company has a major responsibility in onshore and offshore oil and gas production respectively which has led to the growth of several towns and coasts.

Furthermore, the industry ensures there is safety environment, increased productivity, and availability of reserves. The gas manufacture accounts for developments of reserves and resource base as there is a great increment in the annual production to almost 109% with the companies’ anticipations that the growth will be five times in 2020 (Dillinger, A. et al., 2016 p261). The marketing of gas is done widely with the aim of increasing returns and assuring a steady flow of cash and revenue throughout the year. The stable flow cash is achieved by creating a portfolio of gas buyers such as Energy Australia, Alinta, and O-I Australia, hence, helping the company to attain its development strategies (http://www.cooperenergy.com.au/Upload/Documents/ReportsItem/6.-FY17-Fi).

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However, the company strives to meet all the standard operation procedures and Australian Security Exchange (ASX) (Viljoen, T.  et at., 2015 p108). Hence, these leads to the fulfillment of Business Intelligence A2 which is an information system that provides inclusive ideologies to the clients (Popovič, A., et al., 2012 p). The concepts help the clients with structural data to improve financial management, customer service, and regulatory compliance in the company.

The structural data helps the company to identify all the disciplines and importance of data management in the operation of the firm, which is also the major interest of the government in controlling the firm’s operations and setting guidelines. Therefore, the government of Australia has come up with several codes of practices, which aids in citing policies that will enhance invention and innovation in industries. Once the company adheres to this guideline faith and sureness of clients will heighten in relations to data management that is being used by the company. In Australia, Data Governance Australia (DGA) is the body that plays a major role in articulating the main ideologies that will help to control data management procedures (Cheong and Chang 2007 p100). The principles such as non-harm rule, fairness, transparency, accountability, choice, accuracy and access, security, stewardship, and enforcement work systematical in attaining elaborate business atmosphere. The analysis of this code is cited from Cooper Energy Limited discussed above since the firm regulates large data effectively. The relationship between the company’s implementation of the requirement of DGA guidelines is summered up in the table below.

Principles DGA’s requirements Cooper Energy Limited Company’s achievements
Honesty and transparencyThe company is entitled to work with a higher degree of honesty and transparency more particular in gathering, using, releasing any raw information that aims to subject its individuals. However, this honesty can be achieved by making sure all the disclosed data is in consistency with the privacy policy, statement, and the expectations of the company (Thompson, Ravindran and Nicosia 2015 p320). The collection should be clear and upfront concerning its purpose and fact in comparison to information needed.The need to maintain transparency the company has strategized and come up with guidelines how to disclose data to the third party. The strategies aimed at releasing data that is relevant and specific to the needs of the firm. Furthermore, the company ensures the information collected suites the purpose of its collection. The data collected also have no alterations which affect its transparency and honesty. Furthermore, the company participated in monitoring and auditing of all available information systems through lawful measures. The auditing ensures there is accessibility and of the data by the public which improves the company’s honesty.
Non- harm ruleDGA requires all firm to use their best criteria for protecting their subjects during data assembly and use. Therefore, integrity should be employed to avoid getting raw information for the undefined purpose which is not ethical. Other than integrity, exploitation of individual should be limited and the personal information should be not at any cost disclosed to a third party since the unauthorized party may use it in unlawful ways that can result to harm of individuals.Cooper Energy limited cited more flexible techniques in collecting information without affecting or exploiting any of its subjects. Non-harm ideology has been achieved through the people safety equipment during data acquisition. The personal information is kept in a confidential place to avoid access by the unlawful personnel.
ChoiceThe company should consider the techniques, which provides several alternatives for acquisition and use of individual data in the way that can be accessed and understood by subject individual easily. The firm should not identify any other material without the consensus of the person involved unless stated by the law. More so, the company should get permission to conduct or propose any development of a project that needs data portability from DGA,  which determines if the company observes the standings in that specific sector.Cooper Energy has tried all means possible to ensure the methods used to collect and store the data has other options and access to all the subjects. Furthermore, the procedures are framed in the way every subject can understand and use effectively to minimize the source of error and alterations. Other sectors which require data transferability was dealt with getting authority from DGA, hence, ethics belonging to those precise areas are observed to the later.
FairnessThe firm collects information from individuals which are actual and legitimate to the business requirements as it considers the fairness of getting and using the information obtained (Eva, Prajogo and Cooper 2017 p279). The objectivity can be attained once the firm adheres the following circumstances of collection, the period of retaining, community expectations, legal requirements, and the risks to an individual.The company has ensured there is privacy policy that allows only the individual data that is useful to the business is collected, used, and disclosed. More so, the company ensures all the data collected meets the collection standard, time of keeping, the society’s needs, lawful expectations, and considers the dangers posed to an individual. Therefore, meeting all the standards ensure the company adheres to the DGA principles
Safety and securityThe company through the nominated personal should ensure all the information collected is well protected in accordance with the standards at which the data is required (Maslen and Ransan-Cooper 2017 p58). Shared data should in translated form to meet the standard of the industry at any cost unless it is technically flexible or commercially reasonable.Several aspects such as the use of files, technological information is used in safeguarding the collected data (Skotnes 2016, p 139). The well and systematic keeping of records and data ensure that no unauthorized people access the information. The computer and more qualified persons were nominated to inspect the documents used to keep the file to prevent theft and alteration of data by the third party. Information which was to be shared is decoded to make it adapt to the morals of the company
AccuracyThe principle highlights the need for any company to ensure the information collected is free of errors and can be accessed by the subjected individuals who are able to update that data. When the information is accessible the people concern are able to correct mistakes and improve its accuracy while the company adopts the operational standards and DGA requirements.The firm used more qualified personnel to called, and secure data need in the company. Systematic storage of data ensures there is zero alteration of original data collected and ensures there are no miscellaneous activities taken places in the collected information, which the personal information is preserved. More so, there is the quick accessibility of the stored information which gives room for upgrading to the individual’s concern.
AccountabilityThe company is required to have filed details of classes of training and all data obtained without leaving out how the information was collected and any third party who the data was disclosed (Smith 2016 p117). The industry is also entailed to ensure the third party and the person appointed to store and secure data adheres to the public requirements and them readily to comply with guidelines of DGA.Cooper Energy limited has more qualified people who are assigned to document all the particulars of classes attended by all those training, all the data collected and every person, which the company revealed the information. The collected information is also audited to ensure it fits the public requirements. Furthermore, the industry makes sure there is an access to the information by the people concern to upgrade and confirms it original and no alterations have been made to them.
StewardThe principle states the need for all employees or contractors whose work is to store and secure data obtained must undergo training. The workout will provide knowledge to employees on how to adhere DGA standards. Furthermore, the industry is required to have relevant offices to ensure the firm complies the codes.The company makes sure directors, managers, and supervisors are train how to handle workers and the mode of managing and using the obtained data and to ensure the firm confirms to the code stated by DGA. More so, any malpractice or loss of data should be followed with a disciplinary action without considering the class of individual that has involved the crime as determined by the relevant experts like a Human resource.
EnforcementThe company that is a member of DGA should comply with the rules and guideline available in the organization. The firm has the mandate to enforce all the principle to it ensure its smooth operation.Cooper Energy Limited and ensure there are elaborate procedures and reliable personnel whose works is to follow how the company has adhered to all the DGA guidelines. The appointed people had the responsibility and accountability to any unadhered principle that they did not count for in their records.

 

Business intelligence should be considered by all the companies to ensure there are a smooth operation and good relationship with the public and government. Arguably, to attain efficient running of the company all the above principles should be considered practical.

 

List of References

Cheong, L.K. and Chang, V., 2007. The need for data governance: a case study. ACIS 2007 Proceedings, p.100.

Chopra, P. and Wyborn, D., 2003, July. Australia’s first hot dry rock geothermal energy extraction project is up and running in granite beneath the Cooper Basin, NE South Australia. In Proceedings of the Ishihara Symposium: Granites and Associated Metallogenesis (Vol. 43).

Dillinger, A., Ricard, L.P., Huddlestone‐Holmes, C. and Esteban, L., 2016. Impact of diagenesis on reservoir quality in a sedimentary geothermal play: a case study in the Cooper Basin, South Australia. Basin Research28(2), pp.252-272.

Eva, N., Prajogo, D. and Cooper, B., 2017. The relationship between personal values, organizational formalization and employee work outcomes of compliance and innovation. International Journal of Manpower38(2), pp.274-287.

Maslen, S. and Ransan-Cooper, H., 2017. Safety framing and compliance in relation to standards: experience from the Australian gas pipeline industry. Safety science94, pp.52-60.

Popovič, A., Hackney, R., Coelho, P.S. and Jaklič, J., 2012. Towards business intelligence systems success: Effects of maturity and culture on analytical decision making. Decision Support Systems54(1), pp.729-739.

Smith, D.E., 2016. Governing data and data for governance: the everyday practice of Indigenous sovereignty. INDIGENOUS DATA SOVEREIGNTY, p.117.

Skotnes, R., 2016, March. Division of Cyber Safety and Security Responsibilities Between Control System Owners and Suppliers. In International Conference on Critical Infrastructure Protection (pp. 131-146). Springer, Cham.

Thompson, N., Ravindran, R. and Nicosia, S., 2015. Government data does not mean data governance: Lessons learned from a public sector application audit. Government information quarterly32(3), pp.316-322.

Viljoen, T., Westerholm, J., Zheng, H. and Gerace, D., 2015. Fleeting Orders and Dynamic Trading Strategies: Evidence from the Australian Security Stock Exchange (ASX). Journal of Accounting and Finance15(4), p.108.

 

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