Product Data Quality Management System
Enterprise data quality management is often aimed at spotting revenue opportunities, meeting compliance measures, and increasing productivity through efficient MDM and PIM. No matter how complex your product data quality management challenge is, Pimcore PIM software delivers clean and trusted data with enterprise-class quality and governance to help you scale faster. It enables you to ensure the quality of data in a dynamic, unified environment and in the most lucid and structured way possible. Smart management and optimization of data is the key objective of every PIM/MDM endeavor, as all product data quality management systems eventually become the building blocks for better business intelligence (BI) and analytics.
Data Quality & Completeness
Pimcore PIM platform includes various functionalities for defining and improving data quality and the completeness of data. Use data validation and data quality reports to ensure and monitor the data quality. Use Pimcore calculated value fields to monitor your individual data completeness.
Data validation is key to ensuring and improving data quality. All data fields within Pimcore can be validated based on defined rules. Additionally, our open source PIM platform includes various data types, such as selection lists, that predefine possible values.
- What questions to ask during the planning phase
- How to define a clear roadmap from an organizational perspective
- How to organize your data quality in 6 steps
- How Pimcore can help you in enterprise data quality management
Frequently Asked Questions
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