Service 10 / 09
Data & Research Systems
Data collection, analysis, and research workflows with traceable assumptions.
Discuss this serviceApproach
A considered solution, not a preset package.
Build tools and processes that organize relevant data, make analysis repeatable, and communicate limitations clearly.
Every engagement is scoped around the actual problem, users, constraints, and the systems already in place. The project plan defines what is included before development begins.
Typical use cases
Data pipelines and integrations
Research dashboards
Market and product research
Data quality and monitoring
Backtesting and analysis tooling
Custom research workflows
Possible deliverables
Data and source requirements
Collection or analysis workflow
Research interface or reports
Documented assumptions and limitations
Relevant technologies
PythonSQLPostgreSQLPandasMarket and business data APIsData visualization