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Data and Analytics in Government

Data platforms, governance, GIS, reporting, open data, and the privacy rules that shape all of it.

Agencies collect enormous amounts of operational data and struggle to answer straightforward questions with it, because the data sits in systems that were never meant to talk to each other and because departments define the same measure differently. The technical work is real but secondary. Agreed definitions, an owner for each dataset, and privacy rules decided before the architecture are what separate reporting that gets used from reporting that gets abandoned.

These pages cover platform choices, governance that fits an agency rather than an enterprise, geospatial data as the connective tissue of local government, publishing data to the public responsibly, and the confidentiality regimes that constrain what can be combined.

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  • Data & AnalyticsData platforms, reporting, GIS, open data, and machine learning aligned to public-sector AI guidance.

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