Where there is data waste, there is data risk.
This article explores how Lean Governance uses Awareness Maps to expose hidden waste across the data factory—from manual reconciliations and spreadsheets to data corrections and rework.
By making these inefficiencies visible, organizations can automate controls, eliminate waste at its source, and move toward the ultimate goal: trusted data with zero defects.
Can you answer a simple question: “What is our total exposure to this company?”
For many financial institutions, the answer is surprisingly difficult when the same entity appears across multiple systems under different identifiers.
This article explores how Data Governance, ownership, and data architecture can connect fragmented entity relationships—providing an enterprise view of exposure without relying on spreadsheets or costly MDM implementations.
Is your Data Governance communication reaching the right people with the right information?
This article explores how a targeted Data Governance Communication Plan connects Data Owners and Data Consumers with the information that matters to them—from data quality and ownership to definitions and system-of-record changes.
The goal is shared awareness that turns governance into action while improving data quality and operational efficiency.
