There is a need for consistent data across many organizational uses, even though data may be suitable for its original purposes, each downstream consumer is forced to define their own expectations and rules for ensuring that the data meets their business application needs. However, replicated data quality functionality is inefficient.
Instead of looking at data correction and cleansing as a downstream necessity, data quality techniques can be encapsulated as services with various levels of parameterization. Standardizing the tool selection, implementations, reference data integration, and data quality rules will reduce overall operating costs associated with data quality technology while improving consistency and predictability resulting from encapsulation and publication using a services-oriented approach.
This webinar addresses data quality capabilities that are suited for deployment as services:
- Core Data Quality Capabilities
- Standardizing Data Quality Techniques and Rules
- Increase Consistency Through Services Approach
About the Speaker
| David is thePresident of Knowledge Integrity, Inc., a consulting and development company focusing oncustomized information management solutions including information qualitysolutions consulting, information quality training and business rulessolutions. Loshin is the author of Master Data Management, EnterpriseKnowledge Management – The Data Quality Approach and Business Intelligence – TheSavvy Manager's Guide and is a frequentspeaker on maximizing the value of information. David can be reached at loshin@knowledge-integrity.com or at (301) 754-6350. |
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