Glad to have BDA 2018 accepted as a workshop at CAiSE 2018
Data analytics currently represents a revolution that cannot be missed. It is significantly transforming and changing various aspects of our modern life including the way we live, socialize, think, work, and do business. There is increasing interest in the application of data analytics in many industries (e.g., retail, manufacturing, finance) and business functions (e.g. marketing, customer relationship management, supply chain management). In fact, data is becoming a key ingredient for informing every step and element of modern business. According to market research by IBM and Gartner, business data analytics is today’s top priority for CIOs. IDC predicted that the worldwide market for big data and business analytics solutions will increase by more than 50 percent between 2015 and 2019, to more than $187 billion. And according to Gartner, by 2018 more than half of the world’s largest organizations will be applying advanced analytics solutions to large datasets by 2018. With the continued emergence and growth of massive and complex business data, the opportunities for applying data analytics for harnessing the knowledge inside the growing business data lakes – for example to improve service, reduce costs, enhance revenue, and manage risks – are expanding. At the same time, the adoption of analytics solutions for extracting value from big data is associated with enormous financial investments for firms, with a total-cost-of-ownership often ranging between $10-50 million.
The aim of this workshop is to discuss opportunities and challenges of applying data analytics in business. The workshop targets researchers interested in all aspects of developing effective data analytics solutions and evaluating applications in different business domains. The workshop invites original research contributions as well as reports on prototype systems from research communities and industry, dealing with different theoretical and applied aspects of business data analytics. Submitted papers will be evaluated on the basis of significance, originality, technical quality, and exposition. Papers should clearly establish the research contribution, and relation to previous research.
Subject and Topics
The workshop is open for a broad range of subjects around business data analytics. Possible topics include, but are not limited to:
- Models and methods for storing, managing and querying massive and heterogeneous business data.
- Models and methods for integrating and analyzing heterogeneous business data.
- Models and methods for continuous analysis of business data.
- Methods for deriving actionable insights from business data.
- Models and methods for exploiting big data systems on developing effective business data analytics.
- Methods for developing usable tools for business data analytics.
- Advanced applications and tools for business data analytics in different domains
BDA 2018 will take place in Tallinn, Estonia, as part of the workshop programme of the 30th International Conference on Advanced Information Systems Engineering (CAiSE).
Submission GuidelinesBDA 2018 calls for research paper submissions of up to 15 pages. The paper shall be submitted as PDFs and follow Springer's LNBIP formatting guidelines. All accepted submissions will be published in the LNBIP volume of the CAiSE 2018 workshop proceedings.
Submissions have to be made via easychair.org.
Submission of papers
Notification of acceptance
Final version of papers
- Ahmed Awad, Cairo University, Egypt
- Amin Beheshti, The University of New South Wales, Australia
- Florian Daniel, Politecnico di Milano, Italy
- Claudio Di Ciccio, WU Vienna, Austria
- Boudewijn Van Dongen, Eindhoven University of Technology, The Netherlands
- Marcelo Fantinato, University of São Paulo, Brasil
- Daniela Grigori, Laboratoire LAMSADE, University Paris-Dauphine, France
- Christian Janiesch, University of Würzburg, Germany
- Henrik Leopold, Vrije Universiteit Amsterdam, The Netherlands
- Fabrizio Maria Maggi, University of Tartu, Estonia
- Hamid Motahari, IBM Research, USA
- Raghava Rao Mukkamala, Copenhagen Business School, Denmark
- Manfred Reichert, University of Ulm, Germany
- Johannes Schneider, University of Liechtenstein, Liechtenstein
- Michael Sheng, Macquarie University, Australia
- Farouk Toumani, Blaise Pascal University, France