Insights
Data Engineering & Analytics
Our latest thinking on data engineering & analytics.
Enterprise Data Platform Decision: Lakehouse, Warehouse, or Federated
Choosing the right enterprise data platform paradigm depends less on technology fashion and more on your organisation's governance maturity, use-case diversity, and operating model.
The Chief Data Officer Mandate: Authority, Accountability, and Influence
Appointing a Chief Data Officer without first resolving the structural tensions of authority, accountability, and influence is the single most reliable way to ensure the role fails.
Data Contracts: A Governance Framework for Enterprise Data Teams
Data contracts are cross-functional governance agreements that define accountability between the teams who generate data and those who depend on it — and most organisations are failing to treat them as such.
Data Quality as Strategic Liability: A Board-Level Framework
Poor data quality is not a technical inconvenience — it is a silent strategic liability that corrupts decisions, weakens models, and exposes organisations to regulatory harm.
Decision Intelligence: Structuring the Human–Machine Judgement Boundary
Without a principled framework for the human–machine judgement boundary, organisations risk both over-reliance on automation and reflexive override — each equally damaging to performance.
Designing a Data Mesh for the Enterprise: A Senior Leader's Guide
A data mesh for the enterprise succeeds not by deploying new technology but by redistributing data ownership to the domains that understand the data best.