Project Description

Get a practical appreciation of how to apply COBIT 5 Implementation to specific business problems, pain points, trigger events and risk scenarios within the organization. Learn how to implement and apply COBIT 5 into your enterprise and how to effectively use it for client initiatives. Attendees will walk away with an appreciation of how to effectively use COBIT 5 for different organizational scenarios.

The course is supported by practical exercises and engaging case-based scenarios. Candidates learn how to apply the COBIT 5 continual improvement lifecycle approach to address requirements and establish and maintain a sustainable approach to governing and managing enterprise IT as “normal” business practice.

Target Audience(COBIT 5 Implementation) :

  • A wide range of IT auditors,
  • IT managers,
  • IT quality professionals,
  • IT leadership, IT developers,
  • process practitioners and managers in IT service providing firms, business managers.

Learning Objectives :

  • How to analyze enterprise drivers
  • Implementation challenges, root causes and success factors
  • How to determine and assess current process capability
  • How to scope and plan improvements
  • Potential implementation pitfalls
  • Learn the terms, jargon, and impact of business intelligence and data analytics.
  • Gain knowledge of the scope and application of data analysis.
  • Understand the impact of analytics on gaining competitive advantage and decision support.
  • Explore ways to measure the performance of and improvement opportunities for business Processes.
  • Be able to describe the need for tracking and identifying the root causes of deviation or failure.
  • Learn the basic Principles, properties, and application of probability theory and the normal distribution.
  • Introduction to different methods for summarizing information and presenting results including charts.
  • Learn about statistical inference and drawing conclusions about the population.
  • Learn about sample sizes and confidence intervals, and how they influence the accuracy of your analysis.
  • Learn about forecasting, including introduction to simple linear regression analysis.
  • Gain knowledge to interpret your results and draw sound and relevant conclusions on business.
  • Explore different methods and algorithms for forecasting future results and to reduce current and future Risk.
  • Refresh your Process improvement and analysis skills.
  • Learn where powerful reference material exists and how to leverage to enhance your decision-making.

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