Extension of Intelligence of Decision Support Systems: Manager Perspective

The article presents an approach to extend the functionality and knowledge of Decision Support Systems to answer the requirements of managers of small and medium-sized enterprises (SMEs). It concerns two major aspects of the system, i.e. the interface that takes into account the level of knowledge of the manager, and the interpretation of economic and financial information using the built-in domain ontologies. The project is related to the design of smart decision support systems based on financial ontology and on the model of manager knowledge created by eye-tracking analysis. An experiment was carried out on real financial data extracted from the database of BINOCLE system, developed by Bilander Co. To create a model of manager knowledge, a number of financial analysts, experts and economists were invited to analyze the pre-defined financial reports. Their tasks were observed and analyzed by the eye-tracking system StudioTM, Tobii. The logs of the system as well as the financial ontology have been used to develop the intelligent interface of a Decision Support System.

[1]  Manuel Filipe Santos,et al.  Ontology based data mining: a contribution to business intelligence , 2009 .

[2]  Gerard M. Zack,et al.  Financial Statement Analysis , 2012 .

[3]  Jerzy Korczak,et al.  Intelligent Dashboard for SME Managers. Architecture and functions , 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).

[4]  Han-Jeong Hwang,et al.  Neurofeedback-based motor imagery training for brain–computer interface (BCI) , 2009, Journal of Neuroscience Methods.

[5]  Bernd Neumayr,et al.  Semantic Cockpit: An Ontology-Driven, Interactive Business Intelligence Tool for Comparative Data Analysis , 2011, ER Workshops.

[6]  Eric Schenk,et al.  Towards a characterization of crowdsourcing practices , 2011 .

[7]  Daniel Power,et al.  Decision Support Basics , 2009 .

[8]  Denilson Sell,et al.  SBI: a semantic framework to support business intelligence , 2008, OBI '08.

[9]  Jerzy Korczak,et al.  Design of financial knowledge in dashboard for SME managers , 2013, 2013 Federated Conference on Computer Science and Information Systems.

[10]  Kalina Bontcheva,et al.  Ontology-Based Information Extraction for Business Intelligence , 2007, ISWC/ASWC.

[11]  Jerzy Korczak,et al.  Multi-criteria evaluation of the intelligent dashboard for SME managers based on scorecard framework , 2014, 2014 Federated Conference on Computer Science and Information Systems.

[12]  V. Prasanna Venkatesan,et al.  A Framework for Business Intelligence Application using Ontological Classification , 2011, ArXiv.

[13]  Hilary Cheng,et al.  An ontology-based business intelligence application in a financial knowledge management system , 2009, Expert Syst. Appl..