LOCATIONS: STOCKHOLM | DUBAI | SYDNEY
Session Outline

The presentation will focus on how to apply data management technologies and practices in a practical and real-world use-cases/scenarios. I will discuss set of practices or principles for data management and engineering. Outline some challenges related and suggest approaches to address those challenges.

Key Takeaways

  • shared responsibility on managing data by both technical (or IT) and business roles
  • importance of People, Process, Technology & Data
  • business alignment, data strategy & just enough/agile data governance
  • value of decoupled, composable data & analytics with multiple interrelated components using cloud computing
  • focus on delivering a simple business outcome, start small & build incrementally with end-state in mind

—————————————————————————————————————————

Bio

Edward Martinez | Chief Data Officer and Head of Data Intelligence Division | China Banking Corporation (China Bank) | Philippines

IT professional with 27 years of experience in Application Development, Data Engineering, Data Architecture, Data Modeling, Data Strategy, Data Privacy & Security, Data Lake, Data Warehousing & Business Intelligence, Cloud Computing and Financial Management. Experienced in working with numerous & diverse Board of Directors, C-level executives, vendor management and financial regulators. Implemented of four (4) Data & Analytics from ground up for banks with proficiency in Data Lake, Data Warehouse, Data Lakehouse, Data Science & Machine Learning platforms, Business Intelligence, Data Modeling (third normal form, dimensional/star schema models), Hybrid Cloud Data & Analytics Architecture. Experience in Agile Development using SCRUMIT professional with 27 years of experience in Application Development, Data Engineering, Data Architecture, Data Modeling, Data Strategy, Data Privacy & Security, Data Lake, Data Warehousing & Business Intelligence, Cloud Computing and Financial Management. Experienced in working with numerous & diverse Board of Directors, C-level executives, vendor management and financial regulators. Implemented of four (4) Data & Analytics from ground up for banks with proficiency in Data Lake, Data Warehouse, Data Lakehouse, Data Science & Machine Learning platforms, Business Intelligence, Data Modeling (third normal form, dimensional/star schema models), Hybrid Cloud Data & Analytics Architecture. Experience in Agile Development using SCRUM

March 13 @ 14:20
14:20 — 14:50 (30′)

Stage M3_2024

Edward Martinez | Chief Data Officer and Head of Data Intelligence Division | China Banking Corporation (China Bank) | Philippines