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Journal Article

Exploring the SME Quandary: Data Governance in Practise in the Small to Medium‑Sized Enterprise Sector  pp3-13

Carolyn Begg, Tom Caira

© Jan 2012 Volume 15 Issue 1, ECIME 2011, Editor: Walter Castelnovo and Elena Ferrari, pp1 - 148

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Abstract

The purpose of this paper is to explore how small to medium‑sized enterprises (SMEs) perceive data and data governance and investigates whether current data governance frameworks are applicable to SMEs. Enterprises of all sizes and complexity have had to learn how to operate in an increasingly digital business environment. Such an environment demands that an enterprise equips itself with the ability to use its data effectively both internally and when dealing with external partners such as suppliers and customers. Enterprises now recognise that both their survival and success requires taking control of all aspects of their data as a critical business resource. In recognition of the demands placed on enterprises in this digital age, a discipline has emerged called data governance. Although the definition of data governance is still evolving, current usage describes this discipline as being a facilitator for enterprises to take control over all aspects of their data resource from the setting of integrity constraints for data quality to the creation of enterprise‑wide policies on data access and security. Large enterprises are often better placed to absorb the necessary demands that data governance places on resources. However, for the resource‑poor SME, the investment in data governance is far more challenging but nevertheless critical in the digital business environment. This paper reviews examples of published data governance frameworks to establish whether these frameworks are applicable to SMEs. A data governance framework (Khatri & Brown, 2010) is assessed using ten SMEs that have differing data requirements. This research is further enhanced by reviewing the results of a project which audited technology use in SMEs. This paper finds that although many data governance frameworks claim to be adaptable and scalable, there is little published evidence by industry or academics on the application of data governance to SMEs. Furthermore, our research revealed that the optimal use of data governance frameworks requires that those with authority and res

 

Keywords: data governance, SME, data management, data quality, framework

 

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Journal Issue

Volume 15 Issue 1, ECIME 2011 / Jan 2012  pp1‑148

Editor: Walter Castelnovo, Elena Ferrari

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Editorial

The papers in this issue of EJISE have been selected from those presented at the 5th European Conference on Information Management and Evaluation (ECIME 2011) at the Dipartimento di Informatica e Comunicazione, Università dell'Insubria, Como, Italy on 8‑9 September 2011.

 

The issue has been guest edited bythe Conference Chair, Professor Walter Castelnovo, and the Programme Chair, Professor Elena Ferrari, both from University of Insubria, Como, Italy.

 

walter_castelnovo    elena_ferrari 

 

Keywords: crime analysis, GIS, geostatistics, intelligence-led policing, predictive dissemination, data mining, boundary spanning, IS outsourcing, relationships management, accountability, enterprise records management, organizational memory, records auditing, knowledge economy, measuring effectiveness, performance indicator, assess of knowledge, enterprise information systems, enterprise recourse planning systems, customer relations management systems, supply chain management systems, community informatics, requirements engineering, microenterprise, technology adoption, indigenous business, socio-technical system, SMEs, IT/IS, lemon market theory, ISV, ambient assisted living, field trials, ageing technology users, enterprise architecture, architectural alignment, Zachman framework, TOGAF, GERAM, E2AF, payments, framework, mobile, value, data governance, data management, data quality, framework, business model, business case, strategy, operations, management, implementation

 

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