A data protection methodology to preserve critical information from the possible threat of information loss

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dc.contributor.advisor Dr. E. Mnkandla en
dc.contributor.author Schwartzel, Taryn
dc.date.accessioned 2011-10-03T07:34:13Z
dc.date.available 2011-10-03T07:34:13Z
dc.date.issued 2011-10-03T07:34:13Z
dc.date.submitted 2009
dc.identifier.uri http://hdl.handle.net/10210/3861
dc.description M.Tech. en
dc.description.abstract Information is a company’s greatest asset that is continually under threat from human error, technological failure, natural disasters and other external factors. These threats need to be identified and quantified and their relevant protection techniques need to be deployed. This research will allow businesses to ascertain which of these data protection strategies to embrace and deploy, thereby highlighting the balance between cost and value for their business needs. Every commercial enterprise should understand the business value of their data and realise that protecting this data is of utmost importance. However, company data often resides on different mediums, in different locations and implementing a data protection strategy is not always cost effective in terms of the cost of storage mediums and protection methods. The challenges that businesses face is trying to distinguish between mission-critical data from other business data, excluding any non-business or invaluable data that resides on their systems. Thus a cost-effective data protection strategy can be implemented according to the different values of business data. This research provides a model to enable an organisation to: · Utilise the model as a framework or guideline in determining a strategy for protection, storage, retrieval and preservation of business critical data. · Define the data protection strategy to meet the organisation’s business requirements. · Define a cost effective data protection solution that encompasses protection, storage, retrieval and preservation of business critical data. · Make strategic decisions based on an array of best practices to ensure mission-critical data is protected accordingly. iii · Draw a conclusion between the costs of implementing these solutions against the real business value of the data that it protects. en
dc.language.iso en en
dc.subject Data protection en
dc.subject Business communication - Security measures
dc.subject Business - Computer network resources - Security measures
dc.subject Computer security management
dc.subject Electronic commerce - Security measures
dc.title A data protection methodology to preserve critical information from the possible threat of information loss en
dc.type Thesis en

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