Business Intelligence (BI) Trends: Navigating the Data-Driven Landscape

Authors

  • Aigerim Momynzhanova Bachelor degree of “Taylor’s University”; Malaysia; Kuala-Lumpur

Keywords:

Business Intelligence (BI), BI Trends, Self-Service BI, Embedded Analytics, Artificial Intelligence (AI), Machine Learning (ML), Mobile BI, Data Governance, Compliance, Cloud-Based BI, Collaborative BI, Natural Language Processing (NLP), Data-Driven Decision-Making

Abstract

In today's data-driven business landscape, staying ahead of the curve in Business Intelligence (BI) is not just advantageous; it's imperative. This article explores the latest trends in BI, shedding light on the transformative shifts that organizations are embracing to gain a competitive edge. From self-service BI empowering non-technical users to make data-driven decisions, to embedded analytics seamlessly integrated into everyday workflows, the evolution of BI is reshaping how businesses harness the power of their data. We delve into the emergence of mobile BI, enabling real-time insights on the go, and the growing influence of AI and machine learning, which are revolutionizing data analytics and predictive modeling. Moreover, we address the critical importance of data governance and security, ensuring that BI initiatives comply with increasingly stringent regulations. As BI continues to evolve, understanding and leveraging these trends becomes paramount for organizations aiming to extract actionable insights from their data and drive innovation and growth in an ever-competitive market.

Published

2023-08-28

How to Cite

Aigerim Momynzhanova. (2023). Business Intelligence (BI) Trends: Navigating the Data-Driven Landscape. Research Retrieval and Academic Letters, (3). Retrieved from https://ojs.publisher.agency/index.php/RRAL/article/view/2035