CASE-04 · Data-driven government
Data architecture in public administration
A move from patchwork automation to one data architecture, with data as the primary asset of the state.
- Role
- Chief Executive Director, DGSC
- Period
- 2019 — present
Key figures
- control areas reengineered
- 95control areas reengineered
- single source of truth
- 1single source of truth
- process model
- As-is → To-beprocess model
A large-scale initiative to transition from patchwork automation to a unified data-driven architecture in the public sector. The project aims to make data the state’s primary asset for effective decision-making.
Project scope
Methodology and practical steps for digital transformation through data operations.
- Process reengineering
- Transition from the "As-is" model (bureaucracy and delays) to the "To-be" model (automated decision making).
- Risk management (RMS)
- Automation of business inspections (95 control areas) to eliminate the human factor.
- Single source of truth
- Creation of reference databases ensuring public services operate on high-quality, up-to-date information.
- Team methodology
- Utilizing agile approaches (Agile, Scrum) and Design Thinking to identify and solve citizens’ real pain points.
Outcome
Establishing a "Digital Government" that operates invisibly for the citizen, proactively resolves issues, and efficiently manages the country’s resources based on data.