The Rise of Embedded Analytics

Author:

Attaran Mohsen1,Attaran Sharmin2

Affiliation:

1. CSU-Bakersfield, Bakersfield, USA

2. Bryant University, Smithfeld, USA

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.

Publisher

IGI Global

Subject

Information Systems and Management,Statistics, Probability and Uncertainty,Management Information Systems

Reference40 articles.

1. Why Big Data Means Big Opportunity for the Travel Industry.;S.Adelman;Forbes,2015

2. Analyticsvidhya. (2015, September 21). 13 Amazing Applications/Uses of data Science Today. Retrieved from https://www.analyticsvidhya.com/blog/2015/09/applications-data-science/

3. Bughin, J. (2016). Big Data, Big Bang? Journal of Big Data, 3(2).

4. Bughin, J. (2016). Big Data: Getting a Better Read on Performance. McKinsey Quarterly, February. Retrieved from https://www.mckinsey.com/industries/high-tech/our-insights/big-data-getting-a-better-read-on-performance

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