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Food & Bev
Dawn Meats Group Ltd. provides consistent quality meat products from sustainable sources. They have grown over the last 37 years to become the meat supplier of choice for Irish and British meat. The company offers beef and lamb products, carcase and primal cuts, and pork products, as well as comminutes products, ready to cook products, ready to heat products, and frozen burgers.
Analysts were manually pulling together data from their ERP system and Excel spreadsheets from their Suppliers. They then spent days using Excel to organize and identify spend within a specific category. They needed an automated, systematic, and scalable method of providing information regarding their spend and suppliers, without relying on repeated manual efforts to obtain and prepare the data for analysis.
We implemented SpendView at Dawn Meats. The solution includes five modules that maintain and update the information in the system, and also provides the ability to view the results of the cleansing, normalizing and enriching of the information.
Category Managers at Dawn Meats use SpendView to gain an enhanced view into the activities within their category and Engineers use it to search the supply base to identify potential suppliers for project specific tasks.
With SpendView, we now have full visibility of our spend across all category areas and crucially now have a solution the procurement team can take ownership of themselves and use to drive projects in the future. The return on investment on this project will be measured in months rather than years.
SpendView provides Dawn Meats with complete visibility into their spend and supply base, and the means to enrich their data in an automated and scalable way. SpendView allows them to better negotiate prices, identify rogue spend, identify potential suppliers for new projects and ultimately achieve greater cost savings resulting from sourcing initiatives. Instead of spending time manually compiling and organizing their data for analysis, they can focus on analyzing their spend data and using it to make better decisions that impacts the bottom line.
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