Business analytics in manufacturing: Current trends, challenges and pathway to market leadership

Yamila M. Omar, Meysam Minoufekr and Peter Plapper

Operations Research Perspectives, 2019, vol. 6, issue C

Abstract: The manufacturing sector is under constant pressure to increase profitability in a growingly competitive international market in which differentiation is not tied to manufactured products or utilized technologies but to business processes optimization. In this context, business analytics offer the opportunity to harness the knowledge and value hidden within enterprise information systems to revolutionize innovation, enhance supply chain management and production, accurately target marketing and sales efforts, as well as develop and manage profitable after-sales services. While the literature to date presents numerous specific applications in which business analytics techniques were successfully deployed to improve specific business units, it is evident that a comprehensive enterprise approach is missing. In the present work, a pathway to attain market leadership through the effective use of business analytics is defined suggesting focus must center on three increasingly challenging barriers. Firstly, “standardization” of collection, aggregation and storage of data must be accomplished. Then, an “organizational culture evolution” that outgrows intuition and embraces data-driven decision-making is needed to create the perfect ecosystem for business analytics to produce actionable results and recommendations. In turn, these must guide “business model innovation” efforts to tackle new value creation, and capture and secure market leadership.

Keywords: Manufacturing; Business analytics; Big data; Industry 4.0 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:6:y:2019:i:c:s2214716019300934

DOI: 10.1016/j.orp.2019.100127

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