National data, local reports and consultant studies were scattered across divisions and systems, with no way to turn them into policy advice in real time. We built an automated intelligence pipeline so decision-makers work from a precise, live and ready-to-use map of the economy, not an outdated static report.
National data, local reports and consultant studies sat in different divisions and systems. A single industry analysis took days of manual compilation and could be out of date by the time it reached senior officials.
Preparing briefing notes meant combing through hundreds of pages of PDFs. The core mission of this project was to close the gap between data and decisions.
We introduced Microsoft Fabric, an enterprise-grade data management platform, and used its data lake to bring SQL, API and manually uploaded data into a single governance layer, breaking down data silos.
The platform includes an interactive AI Agent grounded in the structured data gathered by the data hub, covering every statistic used in the dashboards. Users simply ask a question and get an interpretation of industry trends and statistics.
Over the past year, 12 new plants opened (illustrative). New openings every quarter, more in the second half, mostly around the industrial parks.
Staff no longer page through hundreds of PDF pages. They talk to the AI Agent, which searches the latest industry data, summarizes the trends and context, and produces a data-backed briefing draft within minutes.
Over the last quarter, the city’s semiconductor supply chain has centered on capacity expansion and equipment investment; companies are watching power, water and talent supply.
Outline the city’s existing support for land matching, utilities coordination and talent development, and ask companies what local supply-chain partnerships they need.
Interactive charts were designed together with industry consultants and support live filtering and drill-down. A responsive layout lets senior officials pull up complete industry intelligence on a tablet or phone during council hearings or field visits.
| Area | Outcome |
|---|---|
| Data foundation | Roughly 80 to 100 data sources feed a regularly updated industry database, the data foundation for industrial governance |
| Analysis speed | Industry analysis that once took days of manual compilation is now available on visual dashboards |
| Lighter workload | Briefing drafts went from combing through hundreds of PDF pages to a few minutes of conversation with AI |
| Mobile access | Complete industry intelligence on tablets and phones, anytime |

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Department of Medical Affairs, Ministry of Health and WelfareMedical Data Integration Hub
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