Audit and Assemble Existing Venture Data
Collect and catalogue all current data sources, API specifications, database schemas, and administrative filings relevant to founder and venture profiling. Evaluate the quality, structure, completeness, and update frequency of existing records stored across local systems and public registers. Identify data gaps, missing credentials, or inconsistent formats that would obstruct automated portability.
Gathering these inputs establishes a single source of truth and surfaces hidden data quality issues before integration attempts begin. It underpins the entire portability framework by guaranteeing that exported data is verified, structured, and complete.
A comprehensive data audit register listing source databases, current formats, verification status, and data owners across all required attributes. The founder must provide sample data payloads and highlight any missing inputs or format inconsistencies that require remediation.
Five questions an expert would ask when reviewing your output
Use these to challenge assumptions, pressure-test your logic, and check the quality of this action's output in the context of the parent task and wider venture development.
- 1
What proportion of your gathered venture data has been independently verified against official records like Companies House or bank statements?
- 2
How do you account for inconsistencies in metric definitions—such as ARR vs MRR—between your internal records and agency reporting portals?
- 3
What security controls are currently protecting these raw inputs during extraction and assembly?
- 4
Where are the primary data gaps in your current setup, and what specific steps will close them before formatting the schema?
- 5
How have you validated that the API endpoints or data exports you rely on provide real-time, uncorrupted data?