Title: Measuring information quality and success in business intelligence and analytics: key dimensions and impacts

Authors: Jed Corcoran; Murray Scott

Addresses: J.E. Cairnes School of Business and Economics, NUI Galway, Ireland ' J.E. Cairnes School of Business and Economics, NUI Galway, Ireland

Abstract: The phenomenon of cloud computing and related innovations such as Big Data have given rise to many fundamental changes that are evident in information and data. Managing, measuring and developing business value from the plethora of this new data has significant impact on many corporate agendas, particularly in relation to the successful implementation of business intelligence and analytics (BI&A). However, although the influence of Big Data has fundamentally changed the IT application landscape, the metrics for measuring success and in particular, the quality of information, have not evolved. The measurement of information quality and the antecedent factors that influence information has also been identified as an area that has suffered from a lack of research in recent decades. Given the rapid increase in data volume and the growth and ubiquitous use of BI&A systems in organisations, there is an urgent need for accurate metrics to identify information quality.

Keywords: IS success; information systems; information quality; big data analytics; business intelligence; business analytics; cloud computing; quality measurement; business value.

DOI: 10.1504/IJIQ.2016.10004050

International Journal of Information Quality, 2016 Vol.4 No.2, pp.149 - 166

Received: 27 Oct 2015
Accepted: 04 Jul 2016

Published online: 21 Mar 2017 *

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