Data Foundations and Tools You Can Trust
Reliable analysis starts with clean, comparable data from establishment records, input-output tables, customs shipments, patents, skills taxonomies, and education pipelines. Tools like location quotients, shift-share, network graphs, and buyer-supplier matrices give structure to complexity. Document assumptions, version datasets, and blend quantitative signals with practitioner interviews to surface blind spots. If your team already tracks proprietary indicators, suggest them below so we can integrate and benchmark against widely used public sources for transparency.