Supply chain analytics (SCA) is the method to facilitate the execution of services and products from supplier to customer. Components of supply chain systems incorporate people, information, organizations, resources and activities to transform raw materials into optimized finished goods. The supply chain conventionally follows the hierarchy that is manufactures, suppliers, retailers, wholesalers and customers. Comprehensive SCA has become a necessity for every organization in order to have visibility and be able to efficiently penetrate into the market. SCA have become an important part of every organization whether big or small to manage processes related to product re-engineering, development of new products, re-sourcing and low cost country sourcing (LCCS). SCA provide organizations with insights as to how distinct functional areas are contributing in achieving corporate goals. Key benefits of SCA include release of cash by reducing inventory, enhance forecast accuracy, optimize service levels, support network reconfiguration, minimize material wastage all this to speed up time-to-market for services and products. SCA offerings are spread across industries like electronics and high tech, defense, automotive, manufacturing, aerospace, life sciences, healthcare, consumer packaged goods (CPG) and retail among others.
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Huge amount of data is being generated and processed each day. Expertise of SCA is required to handle such large amounts of data and convert it into a valuable asset. Thus, increasing business data and need of effective database management tools across varied industrial verticals worldwide have fueled the growth of SCA market. Additionally, awareness of SCA benefits wherein forecasting accuracy being the major one have intensified the growth of SCA market.
SCA market can be segmented based on solution it...