Automated Controls

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.

Read More Developing the Nerve Center of Trust
Automated Controls | Governance Architecture | Metadata | Reconciliation | Risk Management

Elevating Reconciliation to Primary Control for Data Risk
BySteve Zagoudis February 9, 2026August 28, 2026

We’re governing data wrong. Policies and profiling don’t catch the real risk: data misaligning across systems as it flows to critical reports.

True control means shifting from governing documents to governing flows. Steve’s blog on TDAN argues we must elevate data reconciliation from a back-office task to the primary, preventive control for data risk.
This lean approach embeds assurance into the process, validates truth between systems, and provides real-time evidence for oversight.

Read More Elevating Reconciliation to Primary Control for Data Risk
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.

Read More The Cybernetics of Data Quality
Automated Controls

Beyond Profiling: How Reconciliation Enhances Data Integrity and Confidence
BySteve Zagoudis September 29, 2025August 28, 2026

Is clean data the same as trusted data?

This article, Steve’s contribution to TDAN, explores why data profiling alone cannot provide enterprise assurance. While profiling identifies anomalies within individual datasets, reconciliation verifies that critical information remains complete, accurate, and consistent across systems and reporting layers.

For risk managers, auditors, and executives, that distinction matters: profiling improves data hygiene; reconciliation provides the evidence needed to trust the data.

Read More Beyond Profiling: How Reconciliation Enhances Data Integrity and Confidence
Automated Controls

Moving Beyond Governance Buzzwords and Bling
BySteve Zagoudis February 19, 2025August 28, 2026

Is your Data Governance program delivering measurable business value—or just more buzzwords and technology?

This article, Steve’s contribution to TDAN, challenges organizations to move beyond governance “bling” and view Data Governance as a process control system. By combining Systems Thinking, continuous data quality feedback loops, and governance awareness, organizations can turn metadata and controls into measurable outcomes—reducing data risk, improving efficiency, and demonstrating real ROI.

Read More Moving Beyond Governance Buzzwords and Bling
Automated Controls

A Systems Thinking Approach to Data Governance
BySteve Zagoudis December 1, 2024August 28, 2026

What if Data Governance worked like a thermostat—continuously detecting and correcting problems before they spread?

This article, Steve’s contribution to TDAN, explores a Systems Thinking approach to Data Governance, replacing reactive fixes with continuous data quality feedback loops. By combining governance metadata, automated controls, and upstream validation, organizations can address problems at their source—reducing manual work, preventing recurring issues, and creating continuous trust in enterprise data.

Read More A Systems Thinking Approach to Data Governance
Automated Controls

MRA Remediation: You Can’t Fix What You Can’t See
BySteve Zagoudis October 15, 2020August 26, 2026

Why do adverse examination and audit findings keep recurring even after extensive remediation?

This article explores a common root cause: lack of visibility into the true source, flow, and integrity of data.

By “talking to the data” and applying automated data controls, organizations can uncover hidden weaknesses, strengthen existing risk frameworks, and address problems before they become regulatory or audit findings.

You can fix what you can see.

Read More MRA Remediation: You Can’t Fix What You Can’t See
Automated Controls

A Business Case for Automated Controls
BySteve Zagoudis August 30, 2020August 26, 2026

Why do automated reports still require spreadsheets to prove the numbers are right?

This article explores a recurring challenge in Data Warehouse and BI implementations: automation without evidence does not create trust.

The solution is automated reconciliation controls—allowing systems to continuously validate data, isolate exceptions, and provide evidence of accuracy while freeing teams from repetitive manual work.

Trusted data requires both automation and proof.

Read More A Business Case for Automated Controls