VOLUME 1, 2017 Submitted to Data Research, page 43-51 www.itspoa.com/journal/data Analysis and Comparison of Open Source Business Intelligence to Commercial Business Intelligence for SME in UK Olubunmi Funmilola A 1* , Olutosin Bukola A 2 1 Department of Information Technology, University of Wales, Cardiff, UK 2 Department of Computing and information Systems, University of Greenwich, London, UK EmailAddress bunmifalabi@gmail.com (Olubunmi FunmilolaA), tosinbalabi@gmail.com (Olutosin BukolaA) *Correspondence: bunmifalabi@gmail.com Received: 28 November 2017; Accepted: 16 December 2017 Abstract: Business Intelligence (BI) is a technological tool for competitive advantage and the beneficiaries in business have being large organizations, these organizations can afford to purchase, implement and maintain business intelligence solution. This has left a wide competition gap between large organizations and SMEs which make up for over 90% of EU enterprises. This research investigates open source (OS) BI tools, with the view of considering it as a substitute for commercial BI tool. This research used several factors to compare both open source BI and commercial BI. These factors include, long term cost, functionalities available, results given and back end support. The target audience for study is Lyca and Lebara mobile. The data collection methods used was survey/ questionnaire and interview. The data was analyzed using a two tailed test and correlation using SPSS package. The research was able to arrive at the following conclusions: Open source offers cost effective solution both in the short and long term. Keywords: Business Intelligence, Business Data Analysis, Open Source, Commercial Software, Data, Small and Medium Scale Enterprise 1. Introduction The accessibility of data has been increasing swiftly because of low-price data storage and connectivity, this improvement has opened new questions within the organizations how to arrange effectively and analytical methodologies which can be used for analysis with the goal of optimizing commercial enterprise performance. Business Intelligence (BI) combines data, analytical equipment, methodologies, and new data given from records, with enterprise expertise, and goal them into choice making process. Over the past decade, analyzing business performance has become much easier, due to the widespread availability of business intelligence (BI) solutions. BI works by extracting data from multiple transactional and operational systems (such as orders, service, sales and shipments) and combining the data into a single dedicated database or repository. An array of BI tools then makes it possible to mine, query and