In an environment of IT security threats, data quality issues, corporate governance concerns, and privacy legislation, organizations need to ensure, more than ever, the integrity, confidentiality, and availability of information and the underlying systems. Work processes rely on information systems that must be properly deployed, monitored, and controlled.
We assist organizations with mitigating risks affecting internal systems, business processes, projects, applications, data, and third parties.
Our IT Audit team provides a wide range of services focused specifically on the risks technology can present; information security threats, regulatory and legislative compliance and unexpected disruption to system availability. Deloitte's proven IT audit methodology can be tailored to assess commonplace risks and vulnerabilities in IT systems.
We investigate whether the measures within the client organization, procedures and applications guarantee the reliability and confidentiality of data processing. Following the identification of the current control environment, Deloitte professionals deliver advice on how to enhance this measures system within the organization.
Deloitte has developed a maturity model that allows us to analyze an organization's current control environment and enables us to identify where our clients currently sit whilst providing clarity and direction as to the steps required for improvement. Following the identification of areas where improvement is required, we have significant experience in implementing and strengthening existing frameworks to provide clients with truly integrated and effective risk and internal control systems.
We can assist clients by either evaluating existing processes and plans to provide pragmatic recommendations for improvement, or by helping to build new BCM processes and plans with the client. In both scenarios, our approach leads to cost-effective decisions that safeguard the future and long-term continuity of the client's business.
Data mining uses several techniques to uncover the hidden information contained within ostensibly low value and voluminous data. Its applications are many and varied, ranging from fraud detection to predicting customer spending patterns; from forensic accounting to risk management. Irrespective of the application, all of these techniques are designed to shine a spotlight on your data in such a way as to support fact-based decision making.