This course, Data-Driven Decision Making (DDDM) teaches an approach to making choices, setting strategies, and solving problems based on empirical evidence and data. It involves everaging data analytics, statistical analysis, and data visualization techniques to derive insights and inform decision-making processes across various domains and industries.

Decision-making models are structured approaches or frameworks used to systematically analyze and process information in order to make choices or reach conclusions. These models help individuals or groups navigate through complex situations by breaking down the decision-making process into manageable steps.

This course is designed for project engineers, geoscientists, reservoir engineers, production engineers, petroleum engineers, Inspectorate NUPRC, planning and development analysts, business planners, and managers.

Implementing Corporate Strategy effectively is vital for an organization’s long-term success. The advanced approach involves a systematic, dynamic, and adaptable process, ensuring alignment across all levels of the organization. An advanced approach to making corporate strategy work requires a well-defined process that integrates strategic alignment, comprehensive analysis, dynamic formulation, rigorous testing, and adaptive implementation. By following this detailed procedure, organizations can increase the likelihood of successful strategy execution, driving sustainable growth and long-term success.

1. Strategic Alignment and Vision Clarification

2. Comprehensive Environmental Analysis

3. Strategy Formulation

4. Strategy Validation and Testing

5. Strategic Communication and Engagement

6. Strategy Implementation

7. Monitoring, Evaluation, and Control

8. Continuous Learning and Improvement