Call for papers
A number of opportunities for cross-fertilization between the fields of ICT Quality and Business Intelligence/Data Mining (BI/DM) have been identified in recent years: BI/DM can be used to support better Quality processes in ICT, particularly software and systems development; and (ICT) Quality methodologies can be used to enable more successful BI/DM projects.

As ICT Quality processes become increasingly more complex, and have (the opportunity) to deal with increasing amounts of data (in software repositories, project management repositories, diagnostics logs, etc.), they also become harder to manage. BI technologies, including data warehousing, OLAP and data mining can help to address that problem. However, this domain poses important challenges to BI, particularly the diverse and complex nature of the data, which may include text, sequences and graphs, frequently in combination.

In BI/DM, on the other hand, the quality of the information delivered – the right information at the right time – as well as the quality of the delivery process are crucial for the decision-making process. While some Quality-related issues have been an extensively investigated issue in some of the sub-fields of BI such as evaluation of data mining results, it has received less attention in others, most notably concerning the assessment of BI methodologies. Therefore, it is expected that important improvements can be achieved by adopting and adapting ICT Quality approaches in this field.

We intend to bring together these two communities and therefore, we seek contributions on the application of BI/DM on Quality processes as well as on the impact of Quality aspects in the development process of BI/DM solutions.

Suggested topics of interest include, but are not restricted to:

· Application of BI technologies on ICT Quality processes

· Adaptation of BI technologies to deal with specific issues of ICT Quality processes (e.g., complex types of data)

· Evaluation of the Quality Assurance Activities and Practices in the context of the development of BI systems

· Quality metrics for BI Project Management

· Agile methodologies for Data Warehouse design

· Data quality approaches in Data Warehousing

· Quality issues in Data Mining and Statistical Analysis

· The impact of quality in real-time BI systems

· Empirical evaluation on evidence concerning the effect of BI quality approaches in the decision making process

Paper submission
Authors should submit to http://www.easychair.org/conferences/?conf=quatic2012 a PDF version of their paper in IEEE format, not exceeding 6 pages, including figures, references, and appendices. Submissions must be original and will be reviewed by the Track Program Committee. Accepted papers will be published in the electronic IEEE proceedings of QUATIC’2012, subject to one of the authors registering for the conference. The authors of the 3 best papers of this thematic track will be invited to submit extended versions to the main track of the conference. A small number of work-in-progress papers, not exceeding 3 pages, can also be accepted. Additional information on the submission process of QUATIC’2012 and its tracks can be found at MailScanner has detected a possible fraud attempt from "2012.quatic.org:9000" claiming to be http://2012.quatic.org/tracks/thematic-tracks/ and http://2012.quatic.org.

Important dates
Abstract submissions: April 13, 2012
Paper submissions: April 19, 2012
Authors’ notification: May 4, 2012
Camera-ready: June 22, 2012

Track Committee
Carlos Soares, FEP-UP, Portugal
Elsa Cardoso, ISCTE-IUL, Portugal

Program Committee:
Petr Berka, University of Economics, Prague, Czech Republic
Orlando Belo, University of Minho, Portugal
Helena Galhardas, Technical University of Lisbon/INESC-ID, Portugal
Matjaz Kukar, University of Ljubljana, Slovenia
Stefano Rizzi, University of Bologna, Italy
Hongyu ZhangTsinghua University, China