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“Data quality is the
number one cause of
ERM project failure”
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ProMeta Data Management
Poor data quality costs businesses vast amounts of money every year. Defective
data leads to breakdowns in the supply chain, poor business decisions and
inferior customer relationship management. .Data is a core asset that needs to be managed if your organization is to generate a return from it Providing the infrastructure to maintain high quality data in-house means data owners can very quickly achieve important benefits, including: cost savings, better decision making, improved service and more streamlined supply chain management.
1. Data Profiling Assess data completeness, Conformity, consistency
2. Data Matching Assess data duplication, Integrity, data accuracy
3. Data Improve data completeness, Standardization conformity, consistency
4. Data Remove duplicates, replace inaccurate data
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