Data Governance

Data Governance | Data Quality | Lean | Reconciliation

How can we trust the data?
BySteve Zagoudis August 4, 2026August 28, 2026

How can we truly trust data as it moves across an increasingly complex enterprise?

This article, Steve’s contribution to TDAN, explores a fundamental shift from governance awareness to governance by proof. An Enterprise Reconciliation Control Framework continuously verifies the critical relationships connecting systems, transactions, reporting, risk models, and AI.

Because trust is not created by documentation alone. Trust requires evidence—and evidence requires continuous verification.

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Automated Controls | Data Governance | Lean

Developing the Nerve Center of Trust
BySteve Zagoudis May 11, 2026August 28, 2026

Most organizations still govern data through policies, committees, and documentation — but regulators, executives, and AI systems are now asking a far more difficult question: Can you actually prove the data is correct? In Steve’s this column article on TDAN, he explains why governance must evolve from passive oversight into a continuous, evidence-producing control system where reconciliation becomes the operational nerve center connecting data quality, risk management, governance, AI reliability, and regulatory defensibility. In the age of AI, governance without proof is no longer governance.

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Automated Controls | Data Governance | Data Quality | Reconciliation | Risk Management

The Cybernetics of Data Quality
BySteve Zagoudis November 11, 2025August 28, 2026

What if Data Governance could sense problems, respond to them, and continuously improve itself?

This article, contributed by Steve to TDAN, explores the Cybernetics of Data Quality—treating governance as a living system of sensing, feedback, reconciliation, and adaptation. By connecting data quality, lineage, metadata, business glossaries, and stakeholder awareness, organizations can move beyond static governance toward continuous, self-correcting controls—the foundation for trusted data and reliable AI.

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Data Governance

Addressing the Elephant in the Room
BySteve Zagoudis February 25, 2024August 28, 2026

What is the biggest hidden data risk in your organization? It may be a spreadsheet.

This article, Steve’s contribution to TDAN, addresses the “elephant in the room” of Data Governance—the spreadsheets and end-user applications used to enrich, correct, and process critical business data outside production systems.

Rather than simply trying to eliminate them, Lean Governance brings these activities under controlled, auditable, and governed processes—reducing operational risk while preserving necessary business flexibility.

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Data Governance | Lean

Walking the Data Factory
BySteve Zagoudis November 6, 2023August 25, 2026

How to connect the stove-piped worlds of data governance and information governance under a common governance classification? Lean governance can provide great power for you to identify and resolve the biggest risks and sources of waste in short order.

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Data Governance | Lean

Need for an Integrated Governance Framework
BySteve Zagoudis August 7, 2023August 26, 2026

Maximizing the value of your data governance tools and promoting enterprise data awareness while reducing risk requires a well-defined and integrated governance framework. Here are the seven key functions that a core platform should have.

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Data Governance | Lean

Achieving Enterprise Data Awareness
BySteve Zagoudis May 5, 2023August 26, 2026

Achieving Enterprise data awareness is a natural maturity progression within the governance domain. An Awareness Matrix can offer a visualization of the relationship between business and their data.

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Data Governance

Data Projects Should Start with Data Governance
BySteve Zagoudis May 17, 2022August 26, 2026

Why do major data projects still suffer from rework, delays, and cost overruns?

This repost of Steve’s contribution to DATAVERSITY argues that the missing ingredient is often Awareness—knowing the data, its quality, ownership, risks, controls, and flows before implementation begins.

Lean Governance brings that awareness upfront, reducing waste and risk while improving project outcomes.

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Data Governance

The Art of Lean Governance: Go Lean and Stop Burning Cash
Bybillnicksin May 14, 2022August 26, 2026

How much cash is being burned in your data factory?

This article explores how Lean Governance applies proven Lean Manufacturing principles to eliminate costly data waste—from redundant reconciliations and duplicate data to rework and excessive controls.

The objective is straightforward: improve data quality, reduce risk, and deliver trusted information at lower cost by eliminating waste at its source.

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Data Governance

The Power of the Subject Matter Expert (SME)
BySteve Zagoudis January 21, 2022August 26, 2026

What separates a successful data project from one that requires “second surgery”?

Often, it’s the depth of Subject Matter Expertise (SME) behind the solution. This article explores how hands-on business, technology, regulatory, and data experience enables teams to recognize problems faster, design solutions that reflect real-world complexity, and deliver lasting business value.

Expertise isn’t learned from a textbook—it’s earned by doing.

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