Computer Based Decision Support or Business Intelligence System

Question: Discuss about the Computer Based Decision Support or Business Intelligence System. Answer: Introduction The major aim of this study is to investigate and analyze data collected for the DSS payments by Commonwealth Electoral Division. Therefore, this project proposal also aims to evaluate the fact that whether social security payments are distributed fairly across the country or is there evidence of politically motivated spending in marginal electorates by major parties for the electoral gain. Hence, in this regard, this study provides a brief description of the project context and the issues relevant to the dataset. Moreover, this study also identifies the users of the proposed system along with the explanation of the decision structure. The BIS or DSS architecture is also aimed to be deployed along with proposing software option for DSS/BIS prototype solution. Finally, this proposal also highlights the design of an interface for displaying the research findings. Identification The context of project is based on the investigation of the facts regarding the fair distribution of social security payment across the country and the evidence availability of politically motivated spending in the marginal electorates by the key parties for electoral gain. Few issues have been identified related to the large dataset. The major problems are the excel butchery, date or time mismatch, text field formatting, undocumented missing data codes, confusing column names, undocumented or missing codes of data as well as something changed in the middle of the data collection (Turban, Sharda and Delen 2012). In order to get rid of these issues, business analytics should be properly incorporated while preparing the dataset as it is such a practice of methodical and iterative exploration of the huge range of data with the emphasis on the statistical analysis (Sauter 2014). Moreover, it is utilized by the organizations for the data driven decision making. Hence, in regards to the Business Analytics, DSS can be recommended, which is a computerized information system utilized for supporting decision-making and it lets the users for sifting through and analyzing the massive teams of data and compiling information that can be utilized for solving issues and making better decisions (Bonczek, Holsapple and Whinston 2014). Moreover, Business Intelligence System can also be recommended in terms of analyzing the raw dataset as it deals several crucial activities such as online analytical processing, reporting, querying and data mining. Both the Decisions Support Systems and Business Intelligence systems can help in resolving the issues mentioned and identified above. DSS is capable enough of producing the comprehensive information and it is different from the operations application (Zikmund et al. 2013). Moreover, BIS plays significant role in analyze large set of semi-structured and unstructured data. Analysis and Design The problem statement associated with this research is to find whether the payments for social security are distributed fairly across the country. Moreover, another problem can be the availability of evidence of politically motivated spending by the major parties in the marginal electorates for electoral gain. In this regard, the researcher intends to get these facts by accessing the data available on these DSS payments by the electorates as well as any other publically present data sets for seeing if there is evidence of biased spending. The major users would be the aged people who are eligible for social security payments and the government agencies who have the responsibilities of electoral operations (Wixom et al. 2014). For the proposed system, operational, tactical and strategic levels of managerial control are required. This is simply because, the huge data set are necessary to be operated through the tactical, strategic and operational processes of DSS or BIS. Apart from that the decision should be made in a structured manner in order to resolve the issue related to the DSS payments by the electorates. The DSS or BIs architecture should be implemented in this scenario by deploying model in terms of gaining more optimization (Ngai et al. 2014). On the other hand, implemented DSS or BIS architecture should have the capability of resolving the issues with the provided data of DSS payments of electorates. In other words, the DSS or BIS architecture should be capable of perfectly evaluating the fact whether the data set is accurate, complete, adequate, timely and clean enough. There are several software options those can be proposed for the DSS or BIS prototype solution such as Powerpoint click-through, Access, Excel, SAS software, C#, Tableau and many other software tools (Ik, Jones and Sidorova 2013). Hence, in this scenario, SAS software would be the most appropriate one as it has the capability of mining, retrieving, managing and altering data from various sources and performing statistical analysis on it. This software tool of DSS or BIS architecture would be helpful in implementing data visualization and business analytics through dashboards, charts and graphs. Figure 1: Development Plan of DSS or BIS prototype (Source: Rausch, Sheta and Ayesh 2013) Conclusion After outlining the entire project proposal, it can be stated that the implementation of an efficient DSS or BIS prototype can help Commonwealth Electoral Division for effectively analyzing the raw data given in a dataset and for generating insights by presenting the information in a meaningful way. Hence, in this regard, this proposal has successfully identified associated with the project and tried to portray the most suitable avenue for resolving the consequences through the implementation of BIS and DSS prototype. 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