• 27 June, 2017: DOLAP 2018 website online

Workshop Scope

Data Warehouse (DW) and Online Analytical Processing (OLAP) technologies are the core of current Decision Support Systems. The widespread deployment of both DWs and OLAP technologies is due to the intuitive representation of data and simple primitives provided to data analysts or managers in support of management decisions. Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support.

BI of the future will be significantly different than what the current state-of-the-practice supports. The trend is to move from the current decision support systems that are "data presenting" to more dynamic systems that allow the semi-automation of the decision making process. This means that the systems partially guide their users towards data discovery, intuition and system-aided decision making via intelligent techniques and visualization. In the back stage, the thrust of the big data era, with the requires that new methods, models, techniques, or architecture are needed to cope with the increasing demand in capacity, data type diversity and responsiveness. And of course, this does not necessarily mean to re-invent the wheel, but rather, as recommended by Gartner to companies regarding BD adoption, "Build on existing BI programs - don't abandon or segregate them". We envision DOLAP 2018 as a venue where novel ideas around these new landscapes of business intelligence and big data are fostered and nurtured and new exiting results are produced, in an attempt to build a strong, vibrant community around these areas.

Nineteen DOLAP workshops have been held in the past with great success. During these years, DOLAP has been established as one of the reference places for researchers to publish their work in the area of data warehousing and OLAP and maintains a high quality of accepted papers. Like the previous DOLAP workshops, DOLAP 2018 aims at synergistically connecting the research community and industry practitioners and provides an international forum where both researchers and practitioners can share their findings in theoretical foundations, current methodologies, and practical experiences, and where industry technology developers can describe technical details about their products and companies exploiting BI and Big Data technology can discuss case studies and experiences.