Abstract
In the life cycle of a business organization, unprecedented turmoil and turbulent timings are inevitable. This ever green truth is not only an advice but a motivation for every organization to be dynamic in its business plans. In other words, “one size fits all” strategy is short lived and seasonal for any enterprise. We in this study have proposed a dynamic platform capable of handling the challenges which are geared towards conventional stagnant business strategies in commercial world. The technical specification of the proposed platform is based on modern business intelligence tools and techniques. The study is dedicated towards exploration of investigating the Big Data capabilities to develop a platform delivering costing, sourcing and tendering capabilities for industrial parts. While doing so, we have emphasised challenging questions of interoperability in the design paradigm of inundation of structured and semi-structured data.
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Naeem, M., Moalla, N., Ouzrout, Y., Bouras, A. (2016). Weaving Trending, Costing and Recommendations Using Big Data Analytic: An Enterprise Capability Evaluator. In: Mertins, K., Jardim-Gonçalves, R., Popplewell, K., Mendonça, J. (eds) Enterprise Interoperability VII. Proceedings of the I-ESA Conferences, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-30957-6_13
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DOI: https://doi.org/10.1007/978-3-319-30957-6_13
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