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chief-data-officer-advisor

Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when use

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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Chief Data Officer Advisor

Strategic data leadership for startup CDOs and founders without one. Four decisions, no surveys:

  1. Can we train our model on this data? — origin × consent × use-case matrix
  2. Warehouse, lakehouse, or mesh — and what do we build vs buy? — stage-driven architecture
  3. What is our customer data worth? — strategic value + M&A multiplier + productization paths
  4. What data role do we hire next? — stage-to-role map, centralize-vs-embed trigger

This

[Description truncada. Veja o README completo no GitHub.]

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