Master Data Management
Sanvill’s Spend Analysis solution incorporates of data mapping, collection, cleansing and taxonomy classification (UNSPSC) provides crystal clear visibility to the clients for global spending. Sanvill’s Healthcare enterprise Master Data Management provides useful process of aggregating and levering spend data ultimately improves data integrity resulting in reduction of costs of procurement, improvement in operational performance, increases opportunities of strategic sourcing.
Sanvill’s Master Data Management is comprise of mainly 3 parts
Data Extraction And Sourcing
Data sourcing is the broader term and main footstep for the master data management identifies the best source of the spend (Vendor/Manufacturer). Data sourcing is a structure formed by many processes like Vendor Validation, Parent/Child Relationship, Product Duplication, Description Enrichment, Packaging Updation.
- Vander Validation
- Parent/Child Relationship
- Product Duplication
- Description Enrichment
- Packaging Updation
|Vendor Name||Updated Vander Name|
|Synthes Incorporation||Synthes Inc|
|Synthes Corporation||Synthes Inc|
|Synthes North America||Synthes Inc|
• Vendor Validation eliminating the chances of unnecessary chances of product duplication ultimately reduces the spend costs.
|Codman & Shurtleff Inc||Parent Company|
|Cordis Corporation||Johnson & Johnson|
|Depuy Inc||Johnson & Johnson|
|Ethicon Inc||Johnson & Johnson|
|Synthes Inc||Johnson & Johnson|
• Mapping of the Parent-Child relationship and merger-acquisition scenario represents the spend pattern and provides deep enough view for identification of actionable strategies by leveraging total spend with the parent supplier.
|Original Vendor Name||Original Vendor Number||Updated Vendor Name||Updated Vendor number|
|Synthes Incorporated||294.782||Zimmer Inc||294.782|
|Synthes Corporation||294.782||Zimmer Inc||294.782|
|Synthes Inc||294.782||Zimmer Inc||294.782|
• Savvy’s statistical data mapping eliminates the risk of duplication. This de-duplication of products decreases the chances of ordering and over spending and paying for the same products and services.
|Information||Manufacturer Name||Manufacturer Number||Description|
|Original||Synthes Inc||294.782||Scrw 5.0 self-drl|
|Updated||Synthes Inc||294.782||5.0 mm Self-Drilling Schanz Screws, MR Conditional, Length 100 mm|
• Description Enrichment enhances, refines and improves raw data makes it a valuable asset for the enterprise.
|Manufacturer Name||Manufacturer Number||(Unit of Measurement) UOM||(Quantity of Each) QOE|
Packaging Information provides custom packaging solutions to the enterprises, helps them to improve their supply chain performance and enabling them to ordering the products in strategic manner.
Data Enrichment and Attribution
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|Manufacturer Name||Manufacturer Number||Taxonomy Code||UNSPSC commodity|
|Synthes Inc||294.782||42321506||Bone Screw|
• Data Classification ensures proper identification of line-item transactions at the category level as well as the supplier level.
• Data Classification provides a direct way to create visibility and impacting the strategic sourcing activities.
• Data Classification centralizing the procurement process and leverage volume for better pricing.
• Product Standardization through data classification reduces the inventory.
• Data Classification helps in budgeting and forecasting spending.
Data Enrichment and Attribution
Data enrichment transforms unstructured and incomplete supplier data into valid and well reformed information
|Vendor/Manufacturer Name||Vendor/Manufacturer Number|
|Properties||Self-Drilling, MR Conditional|
• Data Enrichment provides contextual value to the existing data.
• Data Enrichment also enhances the value, quality and integrity of the data, making it complete, consistent and up to date.
• Data Enrichment provides unique features of the product differentiate it from the other products of same category.