Data-driven Strategic Decision Making Training Course

Introduction

Transform your strategic approach with our essential Data-Driven Strategic Decision Making Training Course. This program covers the critical use of data analytics and visualization to inform strategic decisions, ensuring your organization can leverage data to achieve a competitive advantage. In an era where data is abundant, mastering data-driven strategies is crucial for organizations seeking to make informed, impactful decisions. Our data analytics strategy training course provides in-depth knowledge and practical applications, empowering you to integrate data into your strategic workflows.

This Data-Driven Strategic Decision Making training delves into the core components of modern data analytics, covering topics such as predictive analytics, data visualization, and strategic modeling. You’ll gain expertise in using industry-leading tools and techniques to Data-Driven Strategic Decision Making, meeting the demands of contemporary strategic management. Whether you're a strategic planner, business analyst, or decision-maker, this Data-Driven Strategic Decision Making course will empower you to drive strategic innovation and optimize decision-making processes.

Target Audience:

• Strategic Planners
• Business Analysts
• Decision-Makers
• Data Analysts
• Business Intelligence Professionals
• Project Managers
• Market Researchers

Course Objectives:

• Understand the fundamentals of Data-Driven Strategic Decision Making.
• Master the use of data analytics and visualization for strategic decisions.
• Utilize predictive analytics and forecasting techniques.
• Implement data visualization and reporting strategies.
• Design and build strategic decision modeling frameworks.
• Optimize data integration for strategic analysis.
• Troubleshoot and address common challenges in data-driven decision making.
• Implement data-driven performance monitoring and evaluation.
• Integrate data analytics with existing strategic management systems.
• Understand the ethical considerations of data use in strategy.
• Explore emerging trends in data analytics for strategic foresight.
• Apply real world use cases for data-driven decisions in various industries.
• Leverage data analytics tools and platforms for efficient strategic analysis.

Duration

10 Days

Course content

Module 1: Introduction to Data-Driven Strategic Decisions

• Fundamentals of Data-Driven Strategic Decision Making.
• Overview of data analytics and visualization in strategic planning.
• Setting up a framework for data-driven strategy.
• Introduction to predictive analytics and data visualization.
• Best practices for data-driven strategic planning initiation.

Module 2: Predictive Analytics and Forecasting

• Utilizing predictive analytics and forecasting techniques.
• Implementing regression analysis and time series forecasting.
• Utilizing machine learning for predictive modeling.
• Designing and building predictive dashboards.
• Best practices for predictive analytics.

Module 3: Data Visualization and Reporting

• Implementing data visualization and reporting strategies.
• Utilizing data visualization tools (e.g., Tableau, Power BI).
• Implementing interactive dashboards and reports.
• Designing and building data-driven presentations.
• Best practices for data visualization.

Module 4: Strategic Decision Modeling Frameworks

• Designing and build strategic decision modeling frameworks.
• Utilizing decision trees and scenario analysis.
• Implementing simulation and optimization models.
• Designing and building decision support systems.
• Best practices for decision modeling.

Module 5: Data Integration for Strategic Analysis

• Optimizing data integration for strategic analysis.
• Utilizing data warehousing and ETL processes.
• Implementing API integrations and data connectors.
• Designing and building unified data platforms.
• Best practices for data integration.

Module 6: Troubleshooting Data-Driven Decision Challenges

• Troubleshooting and addressing common challenges in data-driven decision making.
• Analyzing data quality and reliability issues.
• Utilizing problem-solving techniques for resolution.
• Resolving common data interpretation and communication issues.
• Best practices for issue resolution in data-driven decisions.

Module 7: Data-Driven Performance Monitoring

• Implementing data-driven performance monitoring and evaluation.
• Utilizing KPIs and performance metrics.
• Implementing real-time dashboards and alerts.
• Designing and building performance reporting systems.
• Best practices for performance monitoring.

Module 8: Integration with Strategic Management Systems

• Integrating data analytics with existing strategic management systems.
• Utilizing data warehouses and reporting tools.
• Implementing data-driven strategy reviews and updates.
• Designing and building integrated strategic management platforms.
• Best practices for system integration.

Module 9: Ethical Considerations of Data Use

• Understanding the ethical considerations of data use in strategy.
• Utilizing data privacy and security principles.
• Implementing bias detection and fairness in data analysis.
• Designing and building ethical data usage guidelines.
• Best practices for ethical data management.

Module 10: Emerging Trends in Data Analytics

• Exploring emerging trends in data analytics for strategic foresight.
• Utilizing AI and machine learning for advanced data analysis.
• Implementing big data and cloud analytics.
• Designing and building future-proof data analytics systems.
• Optimizing advanced data analytics applications.
• Best practices for innovation in data analytics.

Module 11: Real-World Use Cases

• Applying real world use cases for data-driven decisions in various industries.
• Utilizing data analytics for market segmentation and targeting.
• Implementing data analytics for supply chain optimization.
• Utilizing data analytics for customer experience improvement.
• Implementing data analytics for risk management.
• Best practices for real-world application.

Module 12: Data Analytics Tools and Platforms

• Leveraging data analytics tools and platforms for efficient strategic analysis.
• Utilizing business intelligence software (e.g., Tableau, Power BI).
• Implementing machine learning platforms (e.g., scikit-learn, TensorFlow).
• Designing and building automated data analytics workflows.
• Best practices for tool implementation.

Module 13: Monitoring and Metrics

• Implementing data analytics project monitoring and metrics.
• Utilizing data analytics performance indicators and KPIs.
• Designing and building monitoring dashboards.
• Optimizing monitoring for real-time insights.
• Best practices for monitoring.

Module 14: Future of Data-Driven Strategy

• Emerging trends in data analytics technologies and frameworks.
• Utilizing decentralized data analytics models.
• Implementing AI-driven strategic analysis and decision-making.
• Best practices for future data-driven strategy management.

Module 15: Security Automation in Data Analytics Systems

• Automating security tasks within data analytics systems.
• Implementing policy-as-code for data governance.
• Utilizing automated vulnerability scanning for data analytics models.
• Best practices for security automation within data analytics systems.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.