Data Platforms & Warehousing
Consolidating operational data into a governed platform for analytics.
Capability
Data & Analytics
Data platforms, reporting, GIS, open data, and machine learning aligned to public-sector AI guidance.
Overview
Agencies collect enormous amounts of data: permits, service requests, dispatch records, meter reads, budgets, inspections, and more. Most of it sits in separate systems that do not talk to each other. HQT's data specialists build the pipelines, warehouses, and reporting that turn that data into something staff and the public can use.
We also help agencies approach machine learning and artificial intelligence responsibly. That means clear use cases, documented models, human review of consequential decisions, and policies that satisfy public accountability expectations.
Where we help
- Data warehouses and lakehouses that consolidate operational systems
- Data governance, quality, and lineage
- Dashboards and reporting for management and elected officials
- Open data and transparency portals
- Geographic information systems and spatial analytics
- Machine learning, computer vision, and language models for defined agency use cases
- Responsible AI policy and documentation
How we approach it
We start from the questions leadership actually needs answered and work backward to the data required. Pipelines are built to be maintainable by agency staff, and every dashboard has an owner and a definition for each number on it.
Services
Data Governance & Quality
Ownership, definitions, and quality rules so numbers mean the same thing everywhere.
Dashboards & Reporting
Management and public-facing reporting built on definitions everyone agrees with.
Open Data & Transparency Portals
Publishing agency data in usable formats for residents, researchers, and journalists.
GIS & Spatial Analytics
Maps and spatial analysis for planning, public works, public safety, and utilities.
Machine Learning & AI
Applied machine learning and language models for defined agency use cases.
Responsible AI Policy & Governance
Helping agencies set rules for how staff and vendors use AI tools.
Records & Public Records Support
Electronic records management and tooling for public records requests.
Data & Analytics by agency type
- Data and Analytics for County GovernmentsCross-departmental reporting, outcome measurement, and data sharing that respects confidentiality rules.
- Data and Analytics for Cities and TownsCouncil reporting, open data, and operational dashboards built on definitions everyone agrees with.
- Data and Analytics for Water, Power, and UtilitiesTurning meter, sensor, and asset data into leak detection, condition assessment, and rate support.
- Data and Analytics for Public SafetyOperational reporting, state mandates, and public transparency built from dispatch and records data.
- Data and Analytics for School Districts and CollegesStudent data warehouses, state reporting, and early warning analytics with privacy built in.
- Data and Analytics for State AgenciesData platforms, automated federal program reporting, and governed dashboards for state departments answering to funders, auditors, and the legislature.
- Data and Analytics for Transit and Transportation AgenciesReconciling ridership, on-time performance, asset, and federal reporting data into one set of definitions everyone can use.
- Data and Analytics for Special Districts and Joint Powers AuthoritiesBoard reporting, mandated filings, and GIS for single-purpose agencies that have plenty of data and no analyst on staff.
- Data and Analytics for Corporations and Private CompaniesData platforms, governance, and model documentation built to the standard an auditor or a government customer will ask a company to prove.
Frequently asked questions
What is the first step toward better reporting?
Agreeing on definitions. Most reporting problems come from different reports calculating the same measure differently. We start with a metric dictionary and an owner for each measure, then build the platform and dashboards on that foundation.
Can you work with data from public safety, health, or human services systems?
Yes, with the handling those data require. The platform design separates and protects regulated data while allowing aggregate reporting, and we document the rules for each dataset.
Do you build machine learning models for agencies?
Yes, for defined use cases with measurable outcomes. Every model ships with a model card, validation and bias testing results, monitoring, and an operating procedure that keeps a person responsible for consequential decisions.
How do you approach generative AI?
Grounded in agency sources with citations, evaluated against real examples before deployment, logged for audit and public records, and hosted within an approved boundary for sensitive data. We do not deploy open-ended generation for consequential tasks.
Which tools do you use for dashboards?
Power BI, Tableau, and open-source alternatives, depending on the agency's licensing. The governed data platform underneath matters more than the visualization tool.