This paper aims to review, characterize and comparatively analyze selected organizations'
analytics maturity models. Eleven various organizations' analytics maturity models (AMMs) …

A critical question arises as to whether data analytics (DA) can bring value and improve
organizational performance. The benefit offered by DA can be achieved only when …

Purpose Despite several big data maturity models developed for businesses, assessment of
big data maturity in the public sector is an under-explored yet important area. Accordingly …

Manufacturing companies usually ignore their current state of big data and analytics
implementation, losing the opportunity to achieve high-performance targets. An evaluation …

Business Intelligence and Analytics (BIA) systems play an essential role in organizations,
providing actionable insights that enable business users to make more informed, data …

As with other technologies, decisions to adopt data analytics (DA) can create challenges,
particularly for small and mid-size enterprises (SMEs), due to resource constraints. Our …

Over the past 20 years, many colleges and universities have made significant progress in
building data warehouses and implementing business intelligence tools to provide better …

This study develops a measure for business analytics (BA) maturity and empirically
examines the relationships between managerial perception of IT, BA maturity and BA …

Universities and companies have decision-making processes that allow to achieve
institutional objectives. Currently, data analysis has an important role in generating …

Learning analytics (LA) adoption is a challenging task for higher education institutions
(HEIs) since it involves different aspects of the academic environment, such as information …