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Is poor product data quality affecting your profits?
Dirty product data is a lot like cholesterol. Every business has it.
It's just a question of how much.
What is dirty product data?
Poor quality data that's unclear, inconsistent, and incomplete, resulting in
duplications, inefficient purchasing, higher manufacturing and logistic costs, and inaccurate spend data. Show me an example of dirty product data.
Why clean up dirty product data?
Save from 15% – 30% on procurement costs annually
Consolidate your inventory
Eliminate duplications
Streamline procurement
Enable efficient searching and matching
Generate standardized product descriptions in any language
Analyze your spend data
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Transform messy product data into high-quality rationalized data with
InQuera's No-Mess Suite. More... |
| What's the difference between customer data quality and product data quality? Learn more.
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| Data rationalization solves product data dilemma.
Read more. (PDF 267kB)
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| Identify dirty product data through a product data quality check-up.
More... |
InQuera. The Rational Choice. |
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