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The Rise of Embedded Analytics: Empowering Manufacturing and Service Industry With Big Data

The Rise of Embedded Analytics: Empowering Manufacturing and Service Industry With Big Data

Mohsen Attaran (CSU-Bakersfield, Bakersfield, USA) and Sharmin Attaran (Bryant University, Smithfeld, USA)
Copyright: © 2018 |Volume: 9 |Issue: 1 |Article: 2 |Pages: 22
ISSN: 1947-3591|EISSN: 1947-3605|EISBN13: 9781522545408|DOI: 10.4018/IJBIR.2018010102
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MLA

Attaran, Mohsen and Sharmin Attaran. "The Rise of Embedded Analytics: Empowering Manufacturing and Service Industry With Big Data." IJBIR 9.1 (2018): 16-37. Web. 19 Aug. 2020. doi:10.4018/IJBIR.2018010102

APA

Attaran, M., & Attaran, S. (2018). The Rise of Embedded Analytics: Empowering Manufacturing and Service Industry With Big Data. International Journal of Business Intelligence Research (IJBIR), 9(1), 16-37. doi:10.4018/IJBIR.2018010102

Chicago

Attaran, Mohsen, and Sharmin Attaran. "The Rise of Embedded Analytics: Empowering Manufacturing and Service Industry With Big Data," International Journal of Business Intelligence Research (IJBIR) 9 (2018): 1, accessed (August 19, 2020), doi:10.4018/IJBIR.2018010102

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Abstract

This article describes how in today's hyper-competitive environment, business leaders around the world are using analytics technologies to create business values, and to gain a better understanding of their customer's needs and wants. However, traditional business analytics are undergoing major changes. The Internet revolution, cloud computing, and the evolution to self-service analytics have all contributed to the changing dimensions of business intelligence. To compete effectively in a digitally driven world, business leaders must understand and address the critical shifts taking place in the field of analytics, and how these shifts impact their overall strategy. The key objective of this article is to propose a conceptual model for successful implementation of Embedded Analytics in organizations. This article also covers some of the potential benefits of analytics, explores the changing dimensions of analytics, and provides a guide to some of the opportunities that are available for using embedded analytics in business. Furthermore, this study reviews key attributes of a successful modern analytics platform and illustrates how to overcome some of the key challenges of incorporating embedded analytics into an analytic strategy in business. Finally, this article highlights successful implementation of analytics solutions in manufacturing and service industry.

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