In October, hacked supermarket fridges and critical PHP flaws put cyber security on the front page. Onni Lindroos looks at why Nordic companies still treat security as audit readiness, why AI agents make that habit expensive, and what it takes to move from reactive to proactive access governance.

At our Nordic User Group, Claude updated SAP master data live in front of the room, and someone shouted "That's insane!" Earlier that day, a story about a kindergarten fish tank had explained why that speed only pays off when data governance comes first.

Every company running SAP has data quality issues, most of them small enough to live with. But point an AI model at that same data and ask it to decide faster than any person could, and those small inconsistencies stop being harmless. David Nelson looks at why the model gets all the attention while the data underneath it still gets ignored, and what Norsk Hydro's own experience says about actually fixing that.

Recurring SAP data issues often lead to reactive fixes. This post outlines a six-phase path to move from cleanup to long-term SAP data governance, with practical steps to improve data quality over time.

Many organisations define Data Owners and Data Stewards, yet Data Quality still doesn’t improve. This article explores why accountability on paper fails when the business lacks the power to act—and what needs to change for a true Data Quality culture to take hold.