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Insights and perspectives
Expert analysis, practical guides, and thought leadership on enterprise master data management.
This article examines what DPP readiness actually means in practice for manufacturers, and what needs to change before the regulatory and commercial pressure arrives in force...
This article examines what the ISO 8000-110 standard requires, why those requirements are technically necessary, and what it means in practice to implement them...
This article examines what ISO 29002 specifies, why the consolidation is technically significant and what its architecture means for organisations whose product data must be exchanged, resolved and...
Who owns trusted data?
That question sounds simple, but in many organisations the answer is still vague. Everyone depends on data quality, yet few people are formally accountable for it — and that gap...
Poor data quality is not primarily a technology problem.
Systems matter, but they cannot create ownership. Until data quality is treated as a leadership metric, organisations will keep fixing symptoms...
Bad data keeps reappearing because the process around the system is broken.
When teams rely on spreadsheets, extracts, and hidden workarounds, the source system stops being the real system of record...
Trusted data does not have to be invented from scratch.
Standards like ISO 8000 already provide a practical framework for defining and measuring quality data — but many organisations still build...
If your product data sits in spreadsheets with inconsistent categories, custom codes no one remembers creating, and no clear path to a searchable catalogue — here's where to start...
When the same product goes by different names across your systems, suppliers, and catalogues, data quality breaks down. There's an international standard designed to solve exactly this problem...
Why spreadsheet-based SPIRs fail — and how K:spir replaces them with continuous, governed data quality...