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OPERATIONALISING ANALYTICS FOR ACTION: A CONCEPTUAL FRAMEWORK LINKING EMBEDDED ANALYTICS WITH DECISION-MAKING AGILITY.

Authors :
Shrivastava, Abhinav
Naseer, Humza
Booi Kam
Yee Ling Boo
Kok-Leong Ong
Source :
Proceedings of the European Conference on Information Systems (ECIS); 2023, p1-11, 11p
Publication Year :
2023

Abstract

Organisations are increasingly practising Business analytics (BA) to make data-driven business decisions amidst environmental complexities and fierce global competition. However, organisations find it challenging to operationalise BA outputs (such as analytical models, reports, and visualization) primarily due to a lack of (a) integrated technology, (b) collaboration and (c) governance. These factors inhibit organisations' ability to make data-driven decisions in an agile manner. Embedded analytics, an emerging BA practice, has the potential to address these issues by integrating BA outputs into business applications and workflows, thereby promoting the culture of data-driven decision-making. In this research-in-progress paper, we integrate the diverse areas of literature on BA, embedded analytics, and dynamic capabilities theory and propose a research model that links embedded analytics to decision-making agility through the development of dynamic capabilities. The details of the framework highlight how organisations can get maximum value from data and analytics initiatives through operationalisation of BA outputs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21841934
Database :
Complementary Index
Journal :
Proceedings of the European Conference on Information Systems (ECIS)
Publication Type :
Conference
Accession number :
169722799