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Bài 49 — Build vs Buy Data Capability

Data-Driven Organization Bài 49/60

Build vs Buy

Spectrum

  • All build — full in-house, custom.
  • All buy — SaaS for everything.
  • Hybrid — common reality.

Build when

  • Differentiator capability (recommendation engine for e-commerce).
  • Scale economics favor build.
  • Have talent + budget for 3-5 year horizon.
  • Unique requirement no vendor fits.

Buy when

  • Commodity (BI, ETL).
  • Speed-to-market critical.
  • Talent constrained.
  • Vendor ecosystem mature.

Hybrid example

  • Buy warehouse (Snowflake), build dbt model in-house, buy BI (Looker), build ML platform in-house.

TCO consideration

  • Build: license $0, but engineer cost + maintenance + opportunity cost.
  • Buy: license $$, but faster + supported.
  • Often build looks cheap year 1, expensive year 3+.

VN context

  • Build muốn FTP cao — talent expensive.
  • Buy USD pricing — FX risk.
  • Hybrid is dominant pattern.

Decision framework

FactorBuildBuy
Differentiator
Commodity
Custom logic⚠️
Need fast
Talent rich⚠️
Budget tight⚠️

Anti-pattern

  • "Not invented here" — build commodity to ego.
  • Buy then customize 80% → costlier than build.