The benefits that Master Data Management (MDM) can offer are undisputed, especially as implementations develop from Analytical MDM to Operational MDM. Most large organizations now recognize the need for robust master data management processes and systems, and have made some progress in either planning or implementing them.

The central aim of an MDM system is to ensure high quality, up to date master data is available wherever it is required across the enterprise. The capabilities of packaged MDM applications focus on the consolidation of data from multiple sources into a single “golden copy” and the synchronization of master data with multiple upstream and downstream applications.

For an MDM system to operate effectively it needs high quality data. To this end MDM applications typically provide data quality checks as data enters the application to block or flag bad data. However, only a proportion of new master data is ever authored for the first time in the MDM application; most master data is created in upstream data collection forms or applications at dispersed points throughout the enterprise or even outside the enterprise.

The MDM application can do little to enforce robust data quality controls in these upstream forms or source systems, and before now it was very difficult to build robust data quality controls directly into these multiple upstream applications or data collection forms. The Clavis Data Quality Steward provides organizations with a universally deployable solution to extend robust data quality controls to the forms and applications where data is first created. The solution ensures that organizations and individuals who create data are empowered to provide complete, accurate and properly formatted data the first time it is entered in a data collection form or application.

The cloud-based solution Clavis Data Quality Steward is designed to maximize the volume of new master data which is already high quality when it enters the MDM, by:

• Applying centrally managed data quality controls in multiple applications and data collection forms
• Providing real-time structured feedback designed to assist business users correct errors as they enter data
• Providing master data administrators oversight of data quality failures during upstream data creation processes

 

For more information download Pave the way to Master Data Management with Pre-emptive Data Quality