Vol. 4, Issue 5, Part D (2018)

Abstract
The growing volumes of data continue to outpace human capabilities to extract and discover valuable information capable of supporting sound decision-making and plausible prediction in any business or industry this can only be addressed using automated methods such as data mining. Data Mining Technology (DMT) is a robust technology that can help organizations to make optimal informed decisions-instead of guesswork decisions ^[1], in addressing contemporary challenges facing higher education. Although data mining technology is progressing, its use leaves much to be desired. its adoption and implementation is expensive and any failure in implementation causes not only financial loss but also dissatisfaction among users, which makes it imperative to study the acceptance and adoption of this technology by its potential users. previous studies about data mining have always focused either on the technical aspect or the development of DMT application algorithms without considering users‘ perception of the technology ^[2]. Little effort has been used to encourage users to appreciate DMT‘s capabilities and let's DMT obtain the users‘ acknowledgement; as this could help minimizing underutilization or eventual abandonment despite the prevalent benefit.