A recently merged multi-national Fortune 500 company with two US subsidiaries and MRO category spend in four different business units was attempting to develop a coordinated post-merger sourcing strategy. The relevant MRO inventory data resided in different ERP systems (PeopleSoft and Oracle) and included different defined fields and levels of detail in the data. MRO data was classified under several different sub-category structures, and obtaining a consolidated report of the usage, item availability, and spend within each sub-category was extremely difficult. The expectation following the merger was that there would be a combined and coordinated category sourcing strategy resulting in significant savings to the merged company.
For over 80,000 items in inventory, the client used tools such as Access and Excel to analyze the information and made little progress in combining and sorting through the vast amounts of data. The delay in completing this analysis was also postponing the realization of the anticipated benefits from the coordinated sourcing strategy.
Although inventory data residing in ERP systems can be sorted, linked, and analyzed for procurement or sourcing related efforts, many companies have admitted that it is difficult to get the right data fields exported and fully analyzed for a strategic sourcing effort. Additionally, many companies do not have the resources with the core competency to perform a detailed spend analysis. Other daunting challenges faced by the client were different naming conventions and incomplete data records which required filling-in gaps in information. The datasets also contained a large number of linked fields and manually linking these fields was very resource intensive and difficult. |