Zuhlke’s AOM Data Platform Discovery is a 2 to 8 week engagement that prepares an airport operator to become a data-driven organization.

The AOM Data Platform unifies and visualizes all operational data within an airport, providing a customized solution tailored to specific needs. It enables real-time decision making by integrating data such as flight schedules, resource management, and passenger flows. The platform reduces manual interventions, minimizes delays, and optimizes resource allocation, enhancing overall operational efficiency to maintain passenger flow, flight schedules, and security standards.

By leveraging AWS cloud technologies, our platform improves operational efficiency, reduces downtime, and enhances customer satisfaction.

The Discovery phase analyzes current operations, challenges, data sources, and integration needs to determine feasibility, cost, and timeline for a scalable AOM Data Platform solution. This sets the foundation for subsequent MVP and scaling phases. This highly customized proactive approach mitigates risks and ensures the solution aligns with strategic business goals.

Benefits of the Offering for the Client

• Tailored Solutions: Tailored visualizations and data flows to address the unique challenges of each airport, ensuring a perfect fit for individual operational needs.
• Expertise and Experience: Leveraging Zuhlke’s extensive experience in delivering complex data-driven and user-experience-focused projects with cutting-edge technology.
• Scalability and Flexibility: Ensuring the platform can evolve with the airport’s needs, providing continuous value in a dynamic environment.

Discovery Phase Activities

The duration of a Discovery Phase varies between 2-8 weeks, depending on the complexity and availability of resources.

Part 1: Strategic Focus

• Business Outcomes: Identify key business outcomes to align all stakeholders with a shared vision.
• Technical System and Data Sources Review: Evaluate current data sources and systems to identify existing capabilities and opportunities for enhancement.
• Complexity Assessment: Map out potential challenges and necessary adaptations to optimize airport operations.

Part 2: Focused Exploration

• Data Source Deep Dive: Analyze data sources for integration and alignment with strategic goals.
• Collaborative Workshops: Facilitate workshops to prioritize data sources and address gaps, ensuring seamless operations, as well as incorporating the D2E Vision, Mindset and Mobilise workshop methodologies.
• Skill Gap Analysis: Assess current team and tech competencies against required skills for data handling, cloud technology, and system integration.

Part 3: High-level User Journey and Needs Analysis

• Stakeholder Needs: Identify key users (e.g., operations staff, airlines) and their specific data requirements for better decision-making.
• User Experience: Outline how stakeholders interact with the platform, focusing on real-time data access and reporting.
• Operational Focus: Highlight key pain points (e.g., delays, resource use) and how the platform can provide actionable insights to improve efficiency.

Outcome and Deliverables

Following the activities, we will provide a comprehensive report, which includes the following:

• Executive Presentation: Clear and actionable insights for decision-makers, outlining key findings and next steps.
• Leadership Alignment: A roadmap to build consensus among business and IT leaders, defining whether to engage in multiple ecosystems or concentrate on a more focused strategy.
• Customized Data and Technology Strategy: A plan tailored to your business goals, regulatory needs, and competitive advantages, ensuring alignment with your overall strategy.
• User Experience Optimization: Strategic insights for enhancing user interactions based on data-driven analysis.
• Adapted Data Platform Architecture: A detailed proposal for a data platform architecture that meets your unique business needs and supports the effective development of an ecosystem.
• AWS Tools and Services Recommendations: A comprehensive guide to the specific AWS tools and services necessary to build and support an effective ecosystem. This includes solutions like AWS Control Tower, AWS Budgets, AWS Service Catalogue, EC2, IAM, API Gateway, and the AWS Well-Architected Framework, with practical insights on how each will enable your business objectives.
• Value-Driven KPI Improvements: A set of recommendations aimed at enhancing your key business performance metrics.
• MVP and Cost Proposal: A well-defined proposal for an MVP, including a detailed cost breakdown for implementation.

Next Steps

Following the Discovery Phase, we move into the MVP phase to validate key assumptions and refine the approach based on real-world data. This ensures the feasibility of the AOM Data Platform implementation and optimizes value delivery.