• The best DOLAP 2019 papers will be invited for submission to the Information Systems journal (Elsevier)
  • Invited talk will be given by Prof. Norman Paton (details will be provided asap)

Workshop Scope

Data Warehouse (DW), Online Analytical Processing (OLAP), and Business Intelligence (BI) 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 application 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" (i.e., descriptive analytics) to more dynamic systems that allow the semi-automation of the decision making process (i.e., predictive and prescriptive analytics). 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, requires that new methods, models, techniques, or architecture are needed to cope with the increasing demand in capacity, data type diversity and responsiveness. At the same time, the mature relational data management systems will remain the core components of corporate DWs architectures, as recommended by Gartner to companies regarding BD adoption, "Build on existing BI programs - don't abandon or segregate them". We envision DOLAP 2019 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.

Twenty 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, OLAP, and data analytics. DOLAP maintains a high quality of accepted papers. Like the previous DOLAP workshops, DOLAP 2019 aims at connecting the research community with industry practitioners to providea an international forum, where both researchers and practitioners can share their findings and experience in DW, OLAP, BI, and big data technologies.