The "Data & AI Foundation" offering provides a comprehensive approach to building a robust data ecosystem, tailored to meet business objectives and technical requirements.
- Data Analysis: Build a roadmap starting from the data context, highlighting business objectives, current governance, and technical maturity, with an optional POC on a leading cloud data platform.
- Data Pipeline Design: Architect data pipelines based on existing solutions, draft a holistic integration strategy (functional and technical), and design a data model.
- Data Pipeline Build: Develop interfaces and components, deploy the data model at all stages (e.g., bronze, silver, gold), and build data quality infrastructure.
- Data Governance Definition: Establish a comprehensive data governance approach, including security, quality, ownership, processes, and synchronization.
This structured methodology ensures scalable, high-quality data infrastructure and governance, empowering organizations to unlock the full potential of their data and AI capabilities.
