Research Topic · Peer-Reviewed

Big Data Analytics in Small Business Enterprises (smes)

Big Data Analytics in Small Business Enterprises (SMEs) refers to the application of computational methods and tools to extract meaningful insights from large, complex datasets within organizations that have limited resources, personnel, and technical infrastructure compared to large corporations. Research published…

Curated from this journal's research 📚 1 peer-reviewed article cited Cited 12× across the literature 🔖 ISSN 2768-0207 🗓 Reviewed June 2026

Overview

Big Data Analytics in Small Business Enterprises (SMEs) refers to the application of computational methods and tools to extract meaningful insights from large, complex datasets within organizations that have limited resources, personnel, and technical infrastructure compared to large corporations. Research published in Big Data Research examines how SMEs can effectively leverage analytics capabilities despite these constraints. The journal has addressed the design and usability of self-service business intelligence tools tailored for SME contexts, exploring dashboard design principles that enable non-technical users to interact with data visualization and reporting systems independently. This work recognizes that SMEs often lack dedicated data science teams and must rely on accessible interfaces that democratize data access across the organization. The topic matters because SMEs constitute the majority of businesses globally yet face distinct challenges in adopting big data technologies, including cost barriers, skills gaps, and scalability concerns. Understanding how to adapt analytics frameworks, visualization tools, and decision-support systems for resource-constrained environments enables smaller enterprises to compete more effectively, optimize operations, and make evidence-based decisions that were previously available only to larger organizations with substantial technology investments.

Research published in this journal

1 peer-reviewed article, ranked by relevance. Each links to its DOI.

How this research is being cited

The 1 article above has been cited 12 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Big Data Analytics in Small Business Enterprises (smes), linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Professor Hong Lin · United States Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.