Eliminating Data Silos for Supply Chain Analytics
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Fragmentation of data remains a key obstacle on the path of integrated supply chain planning. Many organizations have invested in point systems for planning various elements of supply chains over the years, have legacy systems, and also have data pertaining to supply chain residing in enterprise systems like ERP, CRM etc. With the advent of Big Data, the number of data sources and opportunities for data fragmentation have also increased. Supply chain data is therefore fragmented in data silos across multiple systems and data sources across the enterprise. This is one of the factors behind SAPinsiders selecting creating a “single-source-of-truth” as one of their key strategies as it pertains to supply chain planning. And a critical step in supporting this strategy is to eliminate supply chain data silos. This article discusses why eliminating data silos is important for supply chain planning.