Robin Gabriner Sustainability Lead IT & Data Carlos Arce León is the Lead of Data Analytics at Schiphol. With a varied background in physics, experimental aerodynamics, and business development, he now specializes in harnessing data analytics to inform business strategies, while also guiding a growing Data Analytics team, tackling Schiphol's most complex data challenges. My name is Robin Gabriner, Sustainability Lead IT & Data at Royal Schiphol Group. I possess a strategic mindset and passion for driving positive change. Driven to make meaningful contributions to society by addressing sustainability challenges and embracing innovative solutions. Dedicated to leveraging my expertise in technology for a sustainable future for generations to come.
Multidisciplinary Teams 6 Data Analytics BI AI and ML Engineering Data Engineering Data Governance Solution Architecture APIs Product Capabilities Service Capabilities Data, AI and Analytics (DnA) Schiphol IT & Data Schiphol Core Data Platform
Business as Dedicated Data Product Teams 7 Data Analytics BI AI and ML Engineering Data Engineering Data Governance Solution Architecture APIs Product Capabilities Service Capabilities Data, AI and Analytics (DnA) Schiphol IT & Data Schiphol Core Data Platform Commerci al Operation s SS E Group Functions Asset Management Product Team Sustainabili ty
doing it 14 - Stakeholders: By identifying the stakeholders needed to get this going - Architecture: How should this look like from an architectural standpoint? Emissions Calculation engine CDP Tool X Tool Y External Internal = data source
doing it 15 - Interdisciplinary team with resources from our DnA, FI, S&AP, BPE and CIOO departments o Requirements: Discover which data needs to be baselined. o Metrics: What should be measured, which unit and frequency? o ESG Capabilities:Which elements are preconditions for success? o ESG tool selection: Which tool matches our requirements? We are still on our path to achieve this baseline. We hope we can inspire you to get on your own path to create a baseline. We are all here to learn from each other, please stay in touch!
etc.) Translated into Reporting Requirements Consisting of +400 data points A A M Source systems External data Unstructured/extended data not captured in source systems C D P Reporting Requirements Data input ESG Capabilities • Data consolidation • Data validation (by e.g. managers) • Data traceability • Insight in audit trails • Calculation based on certain metrics (CO 2 emissions) • Workflow management (i.e. sending mails to enter / validate data). • Reports / dashboards • Guidance in ESG guidelines • Tagging • Target setting & commenting (tracking) External reporting (Disclosures) Internal reporting