Thursday, December 5, 2019

Information System Intelligence and Database Technologies

Question: Describe about the Information System for Intelligence and Database Technologies. Answer: Data Management, Data Mining, and Data Warehousing Data management is defined as the execution and development processes, policies, and procedures for data processing management. The data processing includes data mining and warehousing. These two are helps in management of big data. Data mining consist of collection of huge amount of information and databases for data management (Joseph, 2013). It helps in extracting the data useful on a specific database for easing the data warehousing process. Data warehousing is collection and process of data extracted from the data mining. It would help in managing the comprehensive database for supporting the data analytics (Han, Pei Kamber, 2011). Elements of the planning process, common management and governance Elements of Data management, data warehousing and data mining The elements of data management, data warehousing and data mining are data description, format of data, access and sharing, existing data and storage and security. Some other important elements consist of responsibility, intellectual rights of property, archive, and preservation. All these elements are responsible for forming a sync with the data management, mining and warehousing (Vucevic Yaddow, 2012). Role of Data Management, Data Mining, and Data Warehousing in Governance The data management, data mining and data warehousing would help the government in various processes such as managing the data of the federal employees, assisting them in their billing department, designing plans using electronic system aided programs, and identifying the non revenue products for classifying them. The government had used these technologies for maintaining the database of states (Ruppert, 2012). Elements of strategic planning for data management, mining and warehousing The elements of strategic planning for data management, mining and warehousing are achievement of the performance targets for data operations, increasing the productivity of the operations, achievement of the sustainable competition advantage, and satisfying customers (Roelofs et al. 2013). These elements are essential features of data management, mining and warehousing planning process. Information management and information security and assurance Information management and information security and assurance Information management can be defined as the process of management of information and data (Mahalakshmi Sundararajan, 2013). The information management deals with the process of information management using any database system. The security and assurance is the process of protecting outside unauthorized access in the database of the information system. (McNurlin, Sprague Bui, 1989). However, the security and assurance of information system would result in increasing the efficiency of the information management. The management and security assurance of the information combined would result in effective information system (Schwalbe, 2015). Elements of the planning process, common management and governance Elements of Information management and Information security and assurance According to McNurlin Sprague and Bui (1989), the elements of information management and security assurance are confidentiality, integrity, availability, utility, and authenticity. These elements are useful for management of information system and maintenance of the security and assurance of information. Role of Information management and Information security and assurance in Governance The information management and security assurance has helped government in making a database for all the private and confidential information. The government had to deal with huge amount of data for the processing and configuring their operations. This information has to be kept secured and protected from any external access (Spears, Barki Barton, 2013). It can be done by implying the information management and security and assurance. Elements of Strategic planning for Information management, security and assurance The elements of information management and security assurance are security policies, designing of the database, accountability and behavior (Mahalakshmi Sundararajan, 2013). These elements would help in forming strategic plans for the information management and security assurance. Knowledge Management and Artificial Intelligence system Knowledge Management and Artificial Intelligence systems Knowledge Management is the process of managing the information on a knowledge based system (Brodie Mylopoulos, 2012). The knowledge based system helps in managing the information. The conceptual knowledge of the knowledge based system would be helpful in forming and processing of the Artificial Intelligence concepts. The Artificial Intelligence system is the development of technology for realizing a system that is capable of thinking and learning just like humans (Cohen Feigenbaum, 2014). The system is based on knowledge gained from over the years of technological development. The knowledge management would show the extent of the knowledge governance for the artificial intelligence. Elements of the planning process, common management and governance Elements of management of Knowledge Management and Artificial Intelligence system The elements of knowledge management are document storage, discovery, messaging and knowhow. These elements would help in forming management of the knowledge information. The elements of artificial intelligence are knowledge representation, inference methods, production system, ontology and hypothesis. The elements are used for forming the synthesis of the information about the artificial intelligence (Chandrasegaran et al. 2013). Role of Knowledge Management and Artificial Intelligence system in governance Knowledge management has helped in developing a systematic approach for the management of the knowledge based information of their operations. The information of the government database like tax returns or income statement can be managed by the use of knowledge management information system. The government had implemented the process of the surveillance using the artificial intelligence in their operations. The artificial intelligence has helped the government with the decision making process. The logical reasoning and human intelligence in the developed system has helped the government for making better decisions (Wilensky, 2015). Elements of Strategic planning of Knowledge Management and Artificial Intelligence system The elements of strategic planning are designing research, searching, feasibility, and preferability (Lundquist Trippl, 2013). These elements have helped in forming the management of the knowledge about the artificial intelligence. The knowledge management comprises of elements like classification, storage, software, raw data, and type of data (Chang, Manohar Wilhm, 2014). References Brodie, M. L., Mylopoulos, J. (Eds.). (2012).On knowledge base management systems: integrating artificial intelligence and database technologies. Springer Science Business Media. Chandrasegaran, S. K., Ramani, K., Sriram, R. D., HorvTh, I., Bernard, A., Harik, R. F., Gao, W. (2013). The evolution, challenges, and future of knowledge representation in product design systems. Computer-aided design, 45(2), 204-228. Chang, K., Manohar, N. D., Wilhm, R. K. (2014). U.S. Patent No. 8,712,965. Washington, DC: U.S. Patent and Trademark Office. Cohen, P. R., Feigenbaum, E. A. (Eds.). (2014). The handbook of artificial intelligence (Vol. 3). Butterworth-Heinemann. Han, J., Pei, J., Kamber, M. (2011). Data mining: concepts and techniques. Elsevier. Joseph, M. V. (2013). Significance of data warehousing and data mining in business applications.International Journal of Soft Computing and Engineering (IJSCE) ISSN, 2231-2307. Khan, A., Ehsan, N., Mirza, E., Sarwar, S. Z. (2012). Integration between customer relationship management (CRM) and data warehousing.Procedia Technology,1, 239-249. Lundquist, K. J., Trippl, M. (2013). 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Information management, 50(7), 598-605. Vucevic, D., Yaddow, W. (2012). Testing the data warehouse practicum: Assuring data content, data structures and quality. Trafford Publishing. Wilensky, H. L. (2015). Organizational intelligence: Knowledge and policy in government and industry (Vol. 19). Quid Pro Books.

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