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Master Data Management Solutions
This web seminar discusses an incremental approach to life-cycle management of enterprise assets featuring speakers from AMR Research and i2
To succeed in business today, companies must remain as competitive and efficient as possible. One key to competitive advantage is having systems and processes in place to manage master data.
Is your company facing any of these challenges?:
* Shipments returned from customers who have received the wrong product due to discrepancies in UPC/product information
* Delayed processing and shipment of product when customers send orders with incorrect information on product specifications
* Different divisions purchasing the same product from different vendors at different prices
* Bill-of-material information inconsistent across engineering, manufacturing, marketing, and procurement—often resulting in wrong parts on being procured
Free Web Seminar: Master Data Management Solutions: Foundation for Reduced Product Cost, Improved Compliance, and Accelerating Time to Market
When: November 14, 2005, 2:00 PM Eastern
Speakers:
- Jim Murphy, Analyst, AMR Research
- Satish Krishnaswamy, Solution Executive, i2
Experts from AMR and i2 will highlight how such challenges could be solved by an Enterprise Master Data Management Framework using:
- Master Data Management solution components and services such as data synchronization, cross-referencing, data quality management, and meta-data management, as well as data governance and reference workflows
- Product Information Management, which solves product information challenges through creating an enterprise-wide repository of product content, supporting new product introduction and other product life-cycle initiatives, trading partner-specific price information, setting up a vendor portal, and master data collaboration using GDSN
- Vendor Master Solution, which manages vendor information such as name, numbering scheme, division details, ability to link divisions to parent company, vendor type, and other organizations they represent
- Solution configurability needed to support evolving standards and business initiatives by providing a flexible data model, process modeling, a flexible UI and rules framework, and bi-directional integration with multiple data sources, with an underlying service-oriented architecture
