On the Generation of Dynamic Business Indicators

Fábio Alexandre Pereira dos Santos, Rui César das Neves, Joaquim Belo Filipe

Abstract

While information is rapidly gaining relevance to the organizations, systems that help companies analyse that information need to improve their effectiveness in several layers. We address, in our on-going research work, mainly the presentation layer and business layer of software systems development. The aim of this position paper is to discuss how to develop a system that is as flexible and configurable as possible, which allows multiple methods of analysing and visualizing the relevant data to an organization, allowing them to define certain views on business data with appropriate graphics. One of the values from this system is the domain of technology in a controlled environment, because it helps solving a specific problem, since it is both a generic tool, autonomously and with a high degree of adaptability. Flexibility will go hand-in-hand with ensuring the consistence of the data model, i.e. the data being analyzed by an user must respect syntactic and semantic constraints when relations to each other created in the organization’s logic. This feature prevents the user to attempt to connect data that aren’t related. Based on the existing data types described on metadata in the data model, the system provides the users with a list of possible graphical representations for the selected information type. This list will be filtered in order to allow the user to select only graphical representation types that are appropriate to the selected data types. This is an innovative feature, in the sense that the system constrains the selection of the visualization elements thus avoiding potential conceptual errors.

References

  1. Cardoso, E. (2011, Setembro). Introduction to Business Intelligence. Lisboa, Lisboa, Portugal.
  2. Corporation, M. (2006, June). The ADO.NET Entity Framework Overview. Retrieved 04 2012, 04, from MSDN: http://msdn.microsoft.com/enus/library/aa697427(v=vs.80).aspx
  3. Corporation, M. (2011, 8 29). Modeling and Mapping. Retrieved 5 5, 2012, from MSDN: http://msdn.microsoft.com/en-us/library/bb896343
  4. Evjen, B., Hanselman, S., & Rader, D. (2010). ASP.NET 4 in C# and VB. Canada: Wrox.
  5. Inmon, W. (2002). Building the Data Warehouse. Willey.
  6. Rud, O. P. (2009). Business Intelligence Success Factors: Tools for Aligning Your Business in the Global Economy. Hoboken, New Jersey: Wiley & Sons.
  7. Santos, M. Y., & Ramos, I. (2009). Business Intelligence. FCA.
  8. Thomsen, E. (2002). OLAP Solutions - Second Edition. Willey.
  9. Tufte, E. R. (2001). The Visual Display of Quantitative Information 2ª Edition. Graphics Press LLC.
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Paper Citation


in Harvard Style

Alexandre Pereira dos Santos F., César das Neves R. and Belo Filipe J. (2012). On the Generation of Dynamic Business Indicators . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 390-394. DOI: 10.5220/0004199603900394


in Bibtex Style

@conference{kdir12,
author={Fábio Alexandre Pereira dos Santos and Rui César das Neves and Joaquim Belo Filipe},
title={On the Generation of Dynamic Business Indicators},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={390-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004199603900394},
isbn={978-989-8565-29-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - On the Generation of Dynamic Business Indicators
SN - 978-989-8565-29-7
AU - Alexandre Pereira dos Santos F.
AU - César das Neves R.
AU - Belo Filipe J.
PY - 2012
SP - 390
EP - 394
DO - 10.5220/0004199603900394