My hack for getting started with data as a product

Progression from ad-hoc request to data product. **low cost as long as the tool has enough users to amortize the maintenance costs

Data products and marginal cost

  1. Evaluate your organization: is data as a product a natural fit?
  2. Product skills and hiring
  3. Establish a product roadmap and lifecycle

1. Evaluate your organization

2. Product skills

3. Product lifecycle and the hack to get started with DaaP



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Carlos Aguilar

Carlos Aguilar


Founder at glean Previously VP Data at Flatiron Health and robotics things