In-depth analysis of Cybercrime, Online fraud, Digital piracy and regulation
Understanding the vital concepts like Confidentiality, data Integrity and Availability, what is a threat versus vulnerabilities, and pertinent statistics on current data security trends.
Elucidate on different industry standard IT risk assessment process and methodologies
Best practices for securing company information systems
Media Control – Storage state ( encrypted/not encrypted ) confidential/sensitive data
Email Security - double checking addresses, avoiding putting sensitive information in the body of emails but rather in an encrypted attachment
Physical security – policing work areas for sensitive info, shredding unneeded paper copies, being wary of shoulder surfing and tailgating in sensitive areas, printer security.
Overview of incident reporting policy & procedures that detail what to do if they believe a security incident has occurred, who to call, what to expect and what information to provide to responsible parties
The training begins by giving a broad overview of information before narrowing it down to...
What you'll learn
This learning programme introduces participants to the Big Data Canvas, a methodology for ensuring that data strategies remain feasible while pursuing the most valuable outcomes.
Recognize the dynamics of big data, analytics, and data science in various financial applications.
Identify the Critical Success Factors for an organization’s Big Data strategy
Shape your organization’s big data strategy by leveraging data science best practices.
Gain understanding of business analytics with the use of robust data and the ability to consider the relationships between this data science and finance to make holistic judgments when analyzing situations.
Apply ethical practices in everyday business activities and make well-reasoned ethical business and data management decisions.Select, Prepare, Construct, and Integrate, Structure, and Format data to be most effective to ensure the models meet the business goals.
Develop actionable plans from existing data and initiatives to increase sales, reduce marketing costs and improve customer retention.
Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
Manage data efficiently and allow users to perform multiple tasks with ease.