Thursday, December 12, 2019
Business Intelligence in Security for Data - MyAssignmenthelp
Question: Discuss about theBusiness Intelligence in Security for Data Mining. Answer: Introduction The business intelligence had been very helpful for the development of the effective and smart development of the operations for business organization. According to Kimball et al. (2015), there are various types of business intelligence applications such as data mining tools, online analytical processing, database containers, visual dashboards, and reporting tools. The reporting tools would be helpful for developing the effective and smart development of operations. The following report had been developed for forming the analysis of the business intelligence tools for the operations of the security management. The following report would be evaluated for developing the effective and smart system modification of issues. Business Intelligence Tools for Security Analysis and Fraud Detection The business intelligence tools would be helpful for developing security measures for the analysis of the system integration in the organization. The business intelligence tools consist of data mining tools, online analytical processing, database containers, visual dashboards, and reporting tools that could be used for developing security analysis and fraud detection (Kimball et al., 2015). The business intelligence tool of big data analytics would be helpful for developing string security measures and fraud detection in the information system. The business intelligence tools would be helpful for detecting the infiltration and reporting the infiltration to the main system. Use of Business Intelligence for Network Monitoring The business intelligence tools would serve the purpose of network monitoring and it would help in detecting unknown sources of data theft and network infiltration. As opined by Wu, Chen and Olson, (2014), the main motive of employing business intelligence tools is for developing a monitoring system for the network. The monitoring system would serve the purpose of scanner for any unusual activity in the system. The business intelligence tools would be developed for forming acute modification of the system infiltration. The data modification would be helpful for developing the organizational processing in the organization. The main motive of the development model would serve the deployment of active processing system (Moro, Cortez Rita, 2015). There are major segmentation models that would deploy the accountability for the development of system integrated operations. The deployment of network monitoring business intelligence tools would detect any intrusion or unauthorized entry in t he system. The development of network enabled tools would be deployed for forming incompatible development of operations and processes. The development of system modification tools and system had deployed the modification of unconventional development model for the organization (Bilandzic Lucic, 2014). There are certain functions that would serve the purpose of scanner for the operations of the organization. The business intelligence tools had been working as a monitoring system for detecting any intrusion or unauthorized entry in the system. Use of Business Intelligence as Reporting Tool The development of business operations had been seen with the formation of the appropriate deployment of the business intelligence tools and flaws (Sharda, Delen Turban, 2013). The business intelligence tools would serve the validation of effective and smart deployment of faster and more effective modulation methods. The business intelligence tools had deployed the formation of the system integrated operations for the organization. There are certain development factors that would serve the reporting tools for any issue faced in the system. The network monitoring tools when gets paired with reporting tools, it would help in developing the smart functional operations of the organization. According to Moro, Cortez and Rita (2015), the reporting of the tools has been helpful for serving the appropriate deployment of major accustomed tools and techniques. The development of more effective reporting tools in network would be deployed by the use of business intelligence tools. The effectiv e and smart deployment of the reporting tools would serve the purpose for reporting in the unusual activity in the network (Chang, 2014). The fraud detection had also been developed for forming appropriate deployment of optional development models for data security. Conclusion The business intelligence had seen the growth of development models and strategies with the advent of technology. It can be concluded from the report that the deployment of business intelligence tools would help in monitoring and reporting any unusual activities or infiltration to the users. The deployment of effective and smart options would be helpful for developing operations for the organization. The business intelligence tools consist of data mining tools, online analytical processing, database containers, visual dashboards, and reporting tools that could be used for developing security analysis and fraud detection via monitoring and reporting functionalities. References BilandÃ ¾i?, M., Luci?, D. (2014). Predicting Business Opportunities and/or Threats-Business Intelligence in the Service of Corporate Security (Empirical Analysis of the Usage in the Economy of Republic of Croatia).Collegium Antropologicum,38(1), 25-33. Chang, V. (2014). The business intelligence as a service in the cloud.Future Generation Computer Systems,37, 512-534. Kimball, R., Ross, M., Becker, B., Thornthwaite, W., Mundy, J. (2015).The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence Remastered Collection. John Wiley Sons. Moro, S., Cortez, P., Rita, P. (2015). Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation.Expert Systems with Applications,42(3), 1314-1324. Sharda, R., Delen, D., Turban, E. (2013).Business Intelligence: A managerial perspective on analytics. Prentice Hall Press. Wu, D. D., Chen, S. H., Olson, D. L. (2014). Business intelligence in risk management: Some recent progresses.Information Sciences,256, 1-7.