Data-Driven Decision-Making for Agile Organizations

Overview

Master data-driven decision-making strategies to build agile dashboards, interpret business insights, and implement effective frameworks for strategic organizational success in complex environments.

Syllabus

- Introduction to Data-Driven Decision-Making -- Overview of Agile Organizations -- Importance of Data in Decision-Making -- Introduction to Key Concepts and Principles - Designing Agile Dashboards -- Characteristics of Effective Dashboards -- Defining Key Performance Indicators (KPIs) -- Principles of Data Visualization -- Case Study: Creating a Dashboard Strategy - Interpreting Data for Actionable Insights -- Techniques for Data Interpretation -- Identifying Patterns and Trends in Data -- Translating Data Insights to Strategic Actions -- Workshop: Data Interpretation Scenarios - Decision-Making Frameworks -- Overview of Decision-Making Models -- Applying Frameworks in Agile Environments -- Integration of Data Insights with Decision Frameworks -- Exercise: Framework Application in Case Scenarios - Strategic Data Application -- Monitoring and Forecasting with Data -- Strategy Development Based on Insights -- Data-Driven Risk Management -- Project: Strategic Plan Development Using Data - Optimizing Business Performance -- Continuous Improvement Through Data Feedback Loops -- Best Practices for Agile Business Optimization -- Role of Data in Change Management - Capstone Project: Data-Driven Strategy for Agile Response -- Developing a Comprehensive Data Strategy -- Addressing Operational Challenges with Data -- Presenting Strategy Responses to Simulated Market Changes - Conclusion and Future Directions -- Recap of Key Learning Outcomes -- Introduction to Advanced Topics and Further Learning Paths -- Final Q&A and Feedback Session

Taught by

Duke Corporate Education

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