![]() ![]() The role of data analytics in NPOs’ activities is significant it can assist such organisations in monitoring, evaluating, and determining barriers to their success, and can provide meaningful visualisations to support decision-makers. NPOs are expected to gather and analyse information from stakeholders to implement effective strategies for achieving their missions’ objectives. Museums, colleges, libraries, research centers, health agencies, human welfare, human rights organisations, religious organisations, and charitable foundations are examples of NPOs. ![]() NPOs differ from for-profit organisations as they are private, independent and self-generated funds. However, there are recent calls to apply such analytics to NPOs’ activities such as analysing donors behaviours. The professionals and practitioners from for-profit organisations are being urged to consider data analytics applications to maximise their potential and increase productivity. Keywordsĭata technology is evolving rapidly to address global needs. Results: The findings revealed three key conclusions may be drawn from the findings: (1) In the sphere of NPOs, robust and conventional statistical methods-based data analysis procedures are dominantly common at all times (2) Healthcare and public affairs are two crucial sectors that involve data analytics to support decision-making and problem-solving (3) Artificial Intelligence (AI) based data analytics is a recently emerging trending, especially in the healthcare-related sector however, it is still at an immature stage, and more efforts are needed to nourish its development.Ĭonclusion: The research findings can leverage future research and add value to the existing literature on the subject of data analytics. Methods: We characterise the associations between data analysis techniques and NPOs using, Bibliometrics R tool, a co-term analysis and scientific evolutionary pathways analysis, as well as identify the research topic changes in this field throughout time. This article presents a bibliometric study of 2673 to discover the use of data analytics in different NPOs and understand its contribution. However, using data analysis in non-profit organisations (NPOs) can help understand and identify more patterns of donors, volunteers, and anticipated future cash, gifts, and grants. Aim: Profitable companies that used data analytics have a double gain in cost reduction, demand prediction, and decision-making. ![]()
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