File Management System Of Easy Credit Company †MyAssignmenthelp.com

Question: Discuss about the File Management System Of Easy Credit Company. Answer: Introduction The given case study on Easy credit which is the largest credit finance company of Australia states that there has been a decision made with respect to changes in the file management system and installation of a data warehouse. There will be nightly uploads of batch files to the warehouse and risk analyst will be able to access the data from the warehouse. Why change? This change is needed because earlier were required to store the data on D drive and this led to lack of protection of data. The file serverperformsverybadly when the sensitive data is placed on a common drive there are chances that it might get misplaced, misused, deleted etc. therefore there is a big threat to the business information system. It is important to have a change for controllingoverthe use of data for saying who accesses the system and for managing who uses what kind of business information. Systems boundaries In this big data world, information system involves human and machine for higher efficiency and for are applied in multifarious social settings in the global market place. However, in this case the limitation has been of the utilization and participative system designs of the databases. The biggest limitation in this case is that anybody in the business has accessibility to the file server and can store the work files. There isno single control to access the files and they can store whatever they want to. Many people can access the file server at one time there is no control over the usage restrictions are there. Description of existing system The existing system is at high risk because it can be manipulated and has no restrictions. The file server performance needs improvement and many times the reports of teams go missing (Ault, 2013). There are huge numbers of users who are simultaneously accessing the same set of data or trying to upload the files, which lowers the speed of the file server. The existing system also allows the users and workers to upload their personal files into the system, thus hampering the performance of the system. In any case, before putting resources into a data warehouse stage, the initial step is to inspect whether the business truly needs one and what benefits it can get. To achieve this, Easy Credit should consider the two data warehouse organization alternatives - venture wide or department- wise. At last, the firm should have the capacity to coordinate the different applications for data warehousing to the most proper data warehouse platforms. Description of key objectives, tasks, outputs The key objective is to replace the file server with the data warehouse. The main tasks will include upgrading of the file management system and installation of a data warehouse with the nightly uploads of batch files. This way the risk analysts will be capable of accessing the data from the warehouse, along with storage of the results. This warehouse will act as a storage space for the analysts too and the space that was used earlier for saving the outcomes of assessment i.e. the D drive will be saved for other uses. Diagnosis of efficiency needs There are ethical impacts when Easy Credits use learning algorithms to big data sets and produce prototypes and models. To know how the utilization of a data warehousing tool can lead to ethical issues and protection breaches, the Easy Credits has understand the fundamentals of what data warehousing can do. Data warehousing is useful and efficient as it fetches more levels of reliance with superior levels of information at its disposal (Naeem, Dobbie and Weber, 2011). Diagnosis of job satisfaction needs The most excellent decisions are made when all the important data available is considered. The most excellent possible source for that information is a well-made data warehouse (Agosta, 2012). The conception of data warehousing is deceivingly uncomplicated. Data is extorted sometimes from the applications that maintain business procedures and replicated onto extraordinary committed computers. Future Analysis Creating data warehouses had been difficult in the past (Corey, 2011). A lot of early users saw it to be expensive, time consuming, and resource demanding. With the passing of years, it has got a status for being uncertain (Golfarelli and Rizzi, 2009). This is particularly right for those who have attempted to make the data warehouses themselves devoid of the assistance of genuine specialists. Specifying weighting of efficiency job satisfaction needs objectives The most excellent data warehouses comprise of a well-off range of helpful metadata fields (Kumar Madria, 2014). The highly complex aspect regarding making of a great data warehouse is the plan of the data model with which it will be created. Decisions have to be made for the data warehousing field names. References Agosta, L. (2012). The essential guide to data warehousing. Upper Saddle River, N.J.: Prentice Hall PTR. Ault, M. (2013).Oracle data warehouse management. Kittrell, N.C.: Rampant TechPress. Corey, M. (2011).Oracle8i data warehousing. New York: Osborne/McGraw-Hill. Golfarelli, M. and Rizzi, S. (2009). A Survey on Temporal Data Warehousing.International Journal of Data Warehousing and Mining, 5(1), pp.1-17. Kumar Madria, S. (2014). Data warehousing.Data Knowledge Engineering, 39(3), pp.215-217. Naeem, M., Dobbie, G. and Weber, G. (2011). HYBRIDJOIN for Near-Real-Time Data Warehousing.International Journal of Data Warehousing and Mining, 7(4), pp.21-42.