Challenge:
Economic and public policy researchers often need to sift through large, complex datasets—such as census data, economic indicators, and public health statistics—to inform decisions and policy recommendations. These datasets are typically fragmented, unstructured, and require advanced technical skills to query and analyze, slowing down the research process and limiting timely insights.
Solution:
With Turboline’s AI Data Engine™, researchers can query data from multiple sources in natural language, eliminating the need for complex coding or advanced query skills. Whether analyzing economic trends, evaluating policy impacts, or comparing data from different regions, researchers can quickly access, analyze, and visualize critical data to drive informed policy recommendations.
Impact:
- Faster Access to Data – Instantly retrieve data from multiple public sources, saving time on manual data extraction.
- Improved Analysis – Easily identify trends and insights from fragmented data sources using natural language queries.
- Enhanced Reporting – Quickly generate visual reports and dashboards to present findings to policymakers or stakeholders.
Drive Policy Insights Faster
Access data, analyze, and report instantly.
