Data science strategy & planning

We help our clients prepare for the future with a focus on the discipline and planning needed to extract maximum value from data and analytics.

Enterprise data strategy

  • Diagnostics and mapping of existing data systems and processes

  • Identifying appropriate data and analytic methods given organizational objectives

  • Cataloging and inventory of in-house data, identifying existing data and variables most relevant for analysis, with gap analysis

  • Planning future data acquisition and creation

  • Data infrastructure, cloud services planning, advising and needs assessment for data and analytic platform procurement

Economic, Behavioral, Analytic frameworks and study designs

Expert advising

Horizon scans, market landscape reviews

Value proposition development and refinement

Evidence generation strategy