Geospatial Project Portfolio Management Training Course

Geospatial Project Portfolio Management Training Course

Introduction

Geospatial Project Portfolio Management Training Course introduces participants to the critical domain of Geospatial Project Portfolio Management (GPPM), empowering them to strategically align, prioritize, and execute geospatial initiatives for maximum organizational impact. In today's data-driven landscape, where location intelligence and spatial analytics are paramount, effective GPPM is essential for optimizing resource allocation, mitigating project risks, and ensuring the successful delivery of complex GIS projects and geospatial solutions.

The program delves into best practices for managing a diverse portfolio of geospatial projects, from initial concept to final deployment. Participants will gain a deep understanding of how to integrate geospatial data and GIS technology into an overarching project management framework, fostering strategic decision-making and organizational agility. This course is designed to equip professionals with the advanced skills needed to lead high-performing geospatial teams and drive innovation in a rapidly evolving technological environment.

Course Duration

5 days

Course Objectives

Upon completion of this course, participants will be able to:

1. Strategically align geospatial projects with overarching organizational objectives and business intelligence.
2. Master techniques for portfolio prioritization and project selection based on ROI and strategic value.
3. Implement robust geospatial data governance frameworks and metadata management.
4. Apply advanced risk management strategies specifically tailored for geospatial uncertainties.
5. Optimize resource allocation and capacity planning across diverse GIS initiatives.
6. Leverage cloud-based GIS solutions and geospatial cloud computing for enhanced collaboration.
7. Integrate AI-driven geospatial analytics and machine learning into project workflows.
8. Develop effective stakeholder engagement and communication plans for geospatial projects.
9. Utilize cutting-edge geospatial project management software and PPM tools.
10. Measure and report on geospatial project performance using KPIs and dashboards.
11. Drive digital transformation through the strategic implementation of location intelligence.
12. Navigate regulatory compliance and ethical considerations in geospatial data handling.
13. Foster a culture of continuous improvement and geospatial innovation within their organizations.

Organizational Benefits

• Ensures all geospatial projects directly support core business objectives, preventing resource waste on misaligned initiatives.
• Provides data-driven insights for project selection, prioritization, and resource allocation, leading to more informed and effective choices.
• Maximizes the efficiency of specialized geospatial personnel, technology, and budget, reducing operational costs.
• Proactive identification and management of geospatial-specific risks, minimizing delays, cost overruns, and project failures.
• Adherence to best practices and structured methodologies leads to higher rates of on-time, on-budget project delivery.
• Fosters an environment where new geospatial technologies and methodologies can be effectively integrated and deployed.
• Standardized processes and tools improve information flow and teamwork across departments and with external stakeholders.
• Leveraging location intelligence and advanced geospatial capabilities for strategic insights provides a significant edge in the market.

Target Audience

1. GIS Managers and Coordinators.
2. Project Managers.
3. Portfolio Managers.
4. Spatial Data Scientists and Analysts.
5. Urban Planners and Environmental Managers
6. IT Directors and CTOs.
7. Consultants in Geospatial and Project Management.
8. Team Leads and Senior GIS Specialists.

Course Outline

Module 1: Foundations of Geospatial Project Portfolio Management (GPPM)

• Defining GPPM
• Strategic Role of GPPM
• Key GPPM Concepts
• Geospatial Data Lifecycle
• Introduction to Geospatial Technologies.
• Case Study: City of Dubai Smart City Initiative: How integrated geospatial data and a portfolio approach enabled infrastructure development and urban planning.

Module 2: Strategic Alignment and Portfolio Definition

• Linking Geospatial to Business Strategy.
• Developing a Geospatial Portfolio Strategy
• Geospatial Needs Assessment:
• Stakeholder Engagement for Portfolio Definition
• Defining Portfolio Boundaries.
• Case Study: National Geospatial-Intelligence Agency (NGA) Modernization: How a strategic portfolio re-alignment addressed evolving national security needs and technological advancements.

Module 3: Geospatial Project Selection and Prioritization

• Criteria for Geospatial Project Evaluation
• Prioritization Techniques.
• Balancing the Portfolio.
• Go/No-Go Decision Frameworks
• Scenario Planning and Optimization.
• Case Study: Large Utility Company's Network Modernization: Prioritizing GIS-based asset management and smart grid projects to optimize infrastructure upgrades and improve service delivery.

Module 4: Geospatial Resource Management and Capacity Planning

• Assessing Geospatial Resource Capacity
• Allocating Resources Across Projects
• Managing Resource Conflicts.
• Forecasting Geospatial Resource Needs.
• Skills Inventory and Development
• Case Study: Environmental Monitoring Agency's Data Program: Optimizing the allocation of satellite imagery analysts and computational resources across multiple climate change and conservation projects.

Module 5: Geospatial Risk Management and Interdependencies

• Identifying Portfolio-Level Risks
• Strategies for Mitigating Geospatial Risks
• Managing Dependencies Between Projects
• Contingency Planning
• Integrating Risk Management
• Case Study: Disaster Response and Recovery GIS Platform: Managing the inherent risks of real-time data collection, rapid deployment, and data accuracy during emergency operations.

Module 6: Geospatial Portfolio Governance and Performance Reporting

• Establishing Governance Structures
• Key Performance Indicators (KPIs) for Geospatial Portfolios
• Reporting Mechanisms and Dashboards.
• Regular Portfolio Reviews
• Auditing Geospatial Portfolio Performance
• Case Study: Global Logistics Company's Route Optimization Portfolio: Utilizing real-time dashboards and KPIs to track fuel efficiency, delivery times, and customer satisfaction across a portfolio of GIS-driven logistics projects.

Module 7: Tools and Technology for Geospatial Portfolio Management

• Overview of Leading GPPM Software
• Utilizing Dashboards and Analytics.
• Data Management and Integration
• Automation and Workflow Integration.
• Selecting and Implementing GPPM Technology
• Case Study: Government Land Management Agency's Cadastral System Upgrade: Implementing a new GPPM platform to manage multiple, interconnected land administration and mapping projects, improving data consistency and project visibility.

Module 8: Continuous Improvement and GPPM Maturity

• Assessing Current GPPM Maturity Levels
• Developing a Roadmap for Improvement.
• Implementing Lessons Learned
• Fostering a Culture of Adaptation.
• Measuring and Communicating Value
• Case Study: International Development Organization's Health Mapping Program: Continuously refining their GPPM approach based on feedback from field operations, leading to more impactful and efficient health intervention projects globally.

Training Methodology

• Interactive Lectures
• Software Demonstrations
• Practical Labs.
• Case Studies Analysis.
• Group Discussions
• Project-Based Learning.
• Expert-Led Mentorship.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.