Sears mdm lunch and learn attribute section final
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Sears mdm lunch and learn attribute section final
- 2. Most Retailers manage item data with stove-pipe systems that create inconsistent master information Data definition differing from one system to the next Differences in planning level EOM from one system not matching BOM in another Differing information between applications Some qualitative and some quantitative information Coexistence of Legacy and current data Source: IBM - A.T. Kearney Planning Sourcing Distribution Marketing Finance Channels
- 5. Automating the NPI process with process integration insures data integrity Manufacturer Data Web Channel Data 1 2 3 5a 5c 6 8-13 7 5b 4
- 8. The importance of Alternative Hierarchies and Item Attributes New product strategy Monitoring Strategy execution via alternative hierarchies Customer Label Suppliers Distribution How do we know we are on track?
- 9. Alternative Hierarchies and Item Attributes provide added business visibility Customer Distribution Alternative Hierarchies College Cotton New Concept Sourcing Strategy Attributes Customer Suppliers Distribution Label Never out Monitoring Strategy execution via alternative hierarchies
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- Page 9 So taking care of product data is not just the right thing to do it is the smart thing to do Beside the manpower cost, there are other costs to be considered Errors in product information and attributing impact customer trust and data integrity through the whole life cycle of the item This means Poor data integrity impacts customer credibility with wrong product description causing customer returns, distorted inventory and trend analysis, as well as loss of credibility with suppliers as the information passed on for orders and replenishment my not represent the real inventory need at the store or channel level
- Page 10 Automating all the processes related to new product introduction is a key requirement for retailers not just to ensure effective cost management but most importantly to ensure clean data for sourcing, allocation, promotion and customer satisfaction by getting to customer the right product at the right time, this chart we highlights some of the impacts of poor product information management, none the least is the potential delay in getting new styles to the stores when customers want them, We know that on average it may take up to 4 weeks to get the product in the system, before it can be accepted by a store or a distribution center and offered for sales . We are talking of 4 weeks of missed sales and margin!
- Page 14 We actually have the whole process with Data model, process flow and UI running in the Dallas RDE (Retail Delivery Environment) - you can demo this NPI process to your customer by reaching out to Greg Fitzpatrick at the RDE center for customer presentation Greg’s phone number and email address in listed in the note section of this presentation Phone: 1-469-549-8139E-mail: [email_address] Business scenario : Retailer receives a product data file from the manufacturer Retailer uses MDM-PIM workflow to perform multi-department, multi-step attribute enrichment IBM middleware delivers product information to the to web channel Consumer uses advanced storefront capabilities to browse/compare/purchase Software : InfoSphere Master Data Management for Product Information Management v6 WebSphere Process Server, MQ WebSphere Commerce v6, FeaturePack 5, DB2 Production-quality deployment demonstrates high availability/failover capabilities Hardware/OS : pSeries (LPARs), xSeries (Blades), AIX, Linux Availability : Now!
- New item Input product caracteristics Assign sales attribute to the item, to define assortment, location and marketing strategy