Authors
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Laurice Phillips
The University of Trinidad and Tobago
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Ginelle Gill
The University of Trinidad and Tobago
Keywords:
business intelligence, competitive advantage, Trinidad and Tobago
Abstract
The business landscape is rapidly changing due to advances in technology, economic factors, societal transformations such as the COVID-19 epidemic, and fast-shortening product life cycles. These factors have made the business environment very competitive. Therefore, businesses should acquire further sophisticated technologies to keep pace with competitive markets. As such, businesses must implement digital transformation strategies, particularly in the realm of BI.
The Republic of Trinidad and Tobago's (T&T) current agenda aims to transition into a digital economy; therefore, deployment of BI architecture is critical since businesses in T&T face many obstacles resulting from insufficient, inaccurate, partial, or inadequate BI strategies, processes, and technologies.
These shortcomings make it challenging for businesses to acquire trustworthy information about customers and even predict what is likely to happen in the future, which is crucial for data-driven decision-making and strategic planning. As a result, organizational process inefficiencies continue to exist, hindering competitive advantage and economic growth.
To address this issue this research adopts a systematic literature review (SLR) examine existing literature, collecting, classifying, evaluating, and combining ideas on BI systems adoption, use, benefits, barriers, and their relation to competitive advantage.
This study acknowledges the issues, challenges, obstacles, and limitations to adopting BI in local industries in T&T. It reports on these findings and their implications across different sectors in T&T.
Author Biographies
Laurice Phillips, The University of Trinidad and Tobago
Dr Laurice Phillips is an Assistant Professor in the Centre for Information & Communication Technology at The University of Trinidad and Tobago where he also serves as the Programme Leader for the Masters in ICT. Dr Phillips holds a BSc in Computer Science & Management, an MSc in Computer Science and a PhD in Computer Science from the University of the West Indies. Dr Phillips’s doctoral research specialised in digital fingerprint classification where he was awarded local and international patents for a novel technique in digital fingerprint classification using Regular Expression Machine Learning through the University of the West Indies. Dr Phillips has over (20) years of teaching, research and professional experience in computer science and information & communication technology. His main areas of research include Digital Image Processing, Biometric Recognition and Machine Learning techniques.
Ginelle Gill, The University of Trinidad and Tobago
Ginelle Gill is an avid researcher and information professional at the University of Trinidad and
Tobago (UTT), where she currently serves as a Senior Library Assistant, supporting students in
accessing resources and navigating digital databases. She previously worked at UTT Procurement
Department before transitioning to the library. Ginelle holds a Bachelor of Science in Information Technology from the University of Hertfordshire, a Master of Science in Innovation Manufacturing Management and Entrepreneurship from UTT and an Advance Diploma in Computer Science from the Association of Computer Professionals (ACP). She is currently pursuing a Doctor of Philosophy (PhD)in Information and Communication Technology, with research focus on the impact of business intelligence on competitive advantage for business in Trinidad and Tobago, exploring how organisations can leverage data driven insights to improve decision making, optimize performance, and maintain a competitive advantage.
