Enterprise data ownership
Business functions were maintaining different versions of a critical performance measure.
View the case study ↗
Chief Data Officer · Australia · Global perspective
A selected perspective
Data ownership must resolve a real problem
Naming an owner is only useful if that person can make the decisions needed to keep information fit for purpose.
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Start a conversationThe portfolio
From idea to consequence.
Decision intelligence
An analytics initiative had produced technically sound outputs that were not part of the management routine.
View the case study ↗Responsible AI adoption
Teams wanted to move AI experiments into business use without a consistent review process.
View the case study ↗Trusted data becomes valuable when people can use it responsibly in a decision. I connect ownership, quality and analytical capability to business purpose, with explicit limitations and human accountability for consequential uses.
The journal
Further reading.
- 02
Analytics delivery includes the decision routine
An analytical output can be accurate and still fail to influence the work it was intended to support.
- 03
AI evaluation starts with purpose and exposure
An AI use case needs to be assessed in the context of the decision or task it supports.
- Trusted source of truth
- 1
- Replacing 37 conflicting reports
- Value from analytics
- ₹410 Cr
- Verified by finance, year three
- Models governed
- 220
- Under one responsible-AI framework
- Time to decision data
- 9 days → 4 hrs
- For the executive committee
Beyond the page
The record behind the perspective.
In the boardroom
- Westmoor Housing FinanceIndependent Director · 2023 — Present
- The Responsible Data InstituteAdvisory Board Member · 2020 — Present
Recognition
- Data Leader of the YearThe Applied AI Forum · 2024
- Responsible AI AwardThe Technology Leaders Review · 2023
In conversation
- “Governing 220 models without slowing the business”The Applied AI Forum · 2025
- “The board's role in responsible AI”The Boardroom Review · 2024
- “Episode 120 — Data people can trust”The Leadership Ledger podcast · 2023
Made our data trustworthy enough to bet decisions on — and honest about where it was not.
Continue the conversation
Ideas are tested in conversation.
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