Propelling SMEs Business Intelligence Through Linked Data Production and Consumption
The introduction of the linked data concepts to SMEs, coupled with sophisticated analytics and visualizations deriving through an integrated environment, called the LinDA Workbench, reduces the effort of specific workflows within a company, by almost 50% in terms of time, while its major benefit is the introduction of new, innovative, business models and values in the SMEs’ service provisioning. In this manuscript, the initial findings of the Business Intelligence Analytics (BIA) pilot operation of the LinDA project is discussed, which concerns the examination of the effects of Over-The-Counter (OTC) medicines liberalisation in Europe. The analysis aims at identifying correlations between pharmaceutical, healthcare, socio-economic and political parameters and introduces several research questions, which the present paper aims to answer, such as: Are the linked data useful for SMEs? Which are the benefits of integrating them in its operational environment? Are the analysis results of such a scenario meaningful for the SME service provisioning?
Unable to display preview. Download preview PDF.
- 1.The Rising Tide of OTC in Europe, Andy Tisman (Senior Principal, IMS Health) (2010)Google Scholar
- 2.LinDA website: http://linda-project.eu/
- 3.LinDA Workbench: http://linda.epu.ntua.gr/
- 4.Davies, S., Hatfield, J., Donaher, C., Zeitz, J.: User Interface Design Considerations for Linked Data Authoring Environments. In: LDOW, CEUR Workshop Proceedings, vol. 628. CEUR-WS.org (2010)Google Scholar
- 5.Davenport, T.H.: Analytics 3.0. Harward Business Review (2013)Google Scholar
- 6.Hasapis, P., Fotopoulou, E., Zafeiropoulos, A., Mouzakitis, S., Koussouris, S., Petychakis, M., Kapourani, B., Zanetti, N., Molinari, F., Virtuoso, S. & Rubattino, C., Business Value Creation from Linked Data Analytics: The LinDA Approach. In: eChallenges e-2014 Conference, Belfast, Northern lreland, 29-31 October 2014 (2014)Google Scholar
- 7.Hartigan, J.A.: Clustering Algorithms. John Wiley & Sons, Inc., New York (1975)Google Scholar
- 8.W3C What is Linked Data (2015). http://www.w3.org/standards/semanticweb/data