Wednesday, May 8, 2019

Data security Essay Example | Topics and Well Written Essays - 1000 words

Data security - Essay ExampleThe given report willing highlight some examples of what problems data loss may cause to a company, as well as outline the major reasons of the problem. In addition, in order for us to be able to manage the problem, the just about effective ways of preventing data loss and increasing data security of an organization will be presented.The data loss issue may be related to any aspect of organizational act from making some sensitive information about companys clients available to others, up to the agrees getting some strategic and confident information about a competitor.These were just a few examples of what a data loss means. KPMG reports that 92 gazillion people around the world adopt been affected by data loss incidents in 2008, and predicts the number to rise up to 190 million in 2009 (KPMG Europe LLP, 2009).The outcomes may be horrible, and range from companys reputation being spoiled, to both corporate and individual financial losses. Regarding this matter Reto Gallati (2003 294) outlines that loosing a reputation and a good name is unmatchable of the worst losses a company may suffer since a positive reputation is hotshot of the most valued assets of an organization. BesidesHowever, nowadays an organization cannot function without digital devices. According to Tipton and Krause (2007 1294), out of the companies that face up a serious data loss, 43 percent never reopen, 51 percent reopen further close within 2 years. So, since we cannot avoid using electronic data storage devices, we must(prenominal) find the ways of coping with the risk of data loss.First of all, lets take a look at the data loss incidents they can be related to either software or hardware. Boston Computing Network (2009) reports that 42% of data loss cases in Europe take give due to hardware problems, such as power surge damage, and drive, controller or CPU failure. On the second place stand human errors (31%), such as accidental

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