One of the advantages of a collaborative BI is to divide tasks among BI group members, share the results of analyses, and share knowledge gained from the analyses. Some experts argue that one of the key components of a successfully deployed collaborative BI architecture is the set of flexible analytical tools - "To succeed at collaborative BI you need an adaptable toolkit, one that can produce charts and word clouds - and make them easy to work with, talk over, and save for reference" (computics.com). Moreover, such tools should also be able to: (1) discover and access the analyses that were published in the collaborative environment, (2) optimise access to the discovered analyses, (3) filter data and knowledge, based on access rules. The technologies behind the collaborative BI tools include among others: a data warehouse (possibly distributed or in a cloud), data access technologies (e.g., gateways, Web services), data visualisation widgets.

The aim of this research topic is to develop the: (1) set of tools for building a flexible user interface, (2) the set of data visualisation techniques, (3) the set of data annotation techniques, (4) a method for publishing and sharing knowledge gained from data analysis, e.g. data mining results, (5) a data visualisation engine capable of optimising access to multiple data sources within the collaborative BI architecture.

Main Advisor at Poznan University of Technology (PUT)
Co-advisor at Universitat Politècnica de Catalunya (UPC)