Wednesday, October 9, 2019

Business Intelligence Analyze the Case of SunPower Ltd †Free Samples

In this case study we will analyze the case of SunPower ltd, the pany is the highest producer of the world’s most efficient solar cells. These solar cells are known as photovoltaics. However with the advent of the technology it can be seen that the present position of the SunPower pany is in a lot of danger, as panies are ing up with better and advanced ways of making use of the new technology to bring new improvements in the field of solar power and solar cells (Guragai, et al., 2017). The panies are trying to improve the overall efficiency of these solar cells with the use of these technological changes and that might affect the overall position of the SunPower pany. Thus the CEO of the pany is looking for ways by which they can keep their present position safe and can retain their present market share (Werner, 2017). For this, the pany needs to make an effective use of the present business intelligence techniques by which they can solve their present issues and improve thei r overall operations. This will help in generation of more profit and will also help in improving the efficiency of the photovoltaic blubs that the pany is producing (Bromwich & Scapens, 2016). Business intelligence can be defined as technology that helps in effective analysis of large volume of data and makes it easy for the panies to deal with it. There are various BI tools that are there in the market and the panies can choose as per their own needs. It helps the managers to make informed decisions and also helps the employees to improve their overall efficiency (Trieu, 2017). The different types of BI tools are AD-hoc reporting and analysis, data visualization and data discovery and online analytical processing. These tools will help in effective management of the data that is churned by the pany and the panies will be helped by it. The other uses of the business intelligence tools are that it helps in effective management of the logistics, it helps in reducing the errors that might occur due to manual intervention (Kew & Stredwick, 2017). It also helps in the overall management of the various departments of the pany. It can be seen that the panies will be benefited a l ot this as a lot of time will be saved with the help of it. There are variety of software available in the market that can be customized as per the needs of the pany, and there are a variety of vendors who sell these software. It is thus important for the panies to do the proper research before selecting the best software for the pany (Alexander, 2016). Applying the use of it in case of the SunPower pany we can analyze how it will help in solving the problems that the pany might be facing (Visinescu, et al., 2017). There are few issues that the pany is facing and that are affecting its overall growth and development. Now making an analysis of the overall case study we can say that the pany can make use of the tools of BI for improving their overall performance. Knowledge-Based Systems- The pany can make use of the various knowledge-based system tools that can help the pany in getting better knowledge about the various aspects of production and will be helpful to the managers of the pany. The managers will get a clear idea of the changes that they might need in improving the system. The pany can get knowledge about the various alternatives to the materials that are used in the cells like the silicon chips, ignors-wafers, cells, and modules etc. The BI tools will help the pany in getting knowledge about these products and they can make effective use of the same (Charlton, et al., 2017). We see that there is a situation where the pany wanted to mercialize the solar concentrator21 technology, but they needed to get proper information and consider various aspects before taking proper decisions.   It was found that the PV alternative was lower and this new technology might not be suited for small distributed remote applications, hence the pany needed for proper knowledge before taking their decisions and that can be solved with the help of the BI tools that might help in getting the required information. Knowledge sharing will help in generating better knowledge processes and knowledge practices. It will help in creating new knowledge among the different departments of the pany and help in the flow of information. Internal BI Tools – The pany can use various internal BI tools that can help them in data mining, data analytics, and management. These applications can be brought from any vendors in the market easily and can be customized as per the needs of the pany. It will help SunPower in the management of their large amount of data. The pany is one of the best in the business and it has a large amount of data to be taken care of, there are many problems that the management of the pany faces in their day to day activity. That can be solved with the help of using the business intelligence tools. The panies can provide training to their employees to make effective use of the electricity and it can be very helpful in the future . Thus these tools will be helpful in the long run. Decision Support System – It can be seen that when the panies are able to take the right decision at the right time then they are able to avoid a lot of situations that might lead to huge losses. In the given case we see that if the managers of the pany are able to take an effective decision as and when needed they will be able to solve a lot of issues. For example- we saw that NASA asked the pany to create certain cells that are specially customized for them, the pany was able to successfully deliver the same but NASA asked for a reduction of the cost. But for that, it was required that the pany must upscale its production and in that case, we see that it was important for the managers of the pany to have detailed analysis and take an effective decision (Arnott, et al., 2017). Another example we see that when Honda approached the pany to make such cells that might support their solar-powered cars, the managers wasted a lot of time in taking effective decisions whether they ne eded two shifts or one shift and they eventually found that they had no proper information to decide it. Hence with the help of the BI tools, this decision-making problem of the pany will be solved. The managers will take effective decisions that will help them in saving a lot of costs and generating more revenues (Belton, 2017). After the entire analysis, it can be said that if the panies are using this technique of business intelligence and using the tools accordingly then that will be very helpful in the long run. It will help in solving a lot of issues that the pany is facing. The pany will be able to manage a large amount of data in the future it will not face that much problem, the issues will be resolved. The pany chooses the best tool that is suited to their needs and then can take the decision accordingly (Auken, 2016). Overall if the panies make use of these business intelligence tools they will gain. However there is the other side to it that choosing the best software that might be able to satisfy the needs of the pany won’t be so easy, a lot of research and analysis needs to be done. The panies might need to provide training to the employees to make them aware of the ways they can use these tools. So these are the few pros and cons of using these software tools by the SunPower pany. The SunPower pany should try to implement these tools in their operations, they must take cues from their petitors and make proper analysis before choosing the best software that might be needed for the pany. They must get the software customised as per their needs and then choose the best of the lot. In the long run, the pany will be benefited . Alexander, F., 2016. The Changing Face of Accountability. The Journal of Higher Education, 71(4), pp. 411-431. Arnott, D., Lizama, F. & Song, Y., 2017. Patterns of business intelligence systems use in organizations. Decision Support Systems, Volume 97, pp. 58-68. Auken, S., 2016. Assessing the role of business faculty values and background in the recognition of an ethical dilemma. Journal of Education for Business, 91(4), pp. 211-218. Belton, P., 2017. petitive Strategy: Creating and Sustaining Superior Performance. London: Macat International ltd. Bromwich, M. & Scapens, R., 2016. Management Accounting Research: 25 years on. 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Behavioral Finance: 'Where Do Investors'' Biases e From?'. Singapore: WORLD SCIENTIFIC. Visinescu, L., Jones, M. & Sidorova, A., 2017. Improving Decision Quality: The Role of Business Intelligence. Journal of puter Information Systems, 57(1), pp. 58-66. Werner, M., 2017. Financial process mining - Accounting data structure dependent control flow inference. International Journal of Accounting Information Systems, Volume 25, pp. 57-80

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