The Intentional Analytics Model (IAM) has been envisioned as a way to tightly couple OLAP and analytics by (i) letting users explore multidimensional cubes stating their intentions, and (ii) returning multidimensional data coupled with knowledge insights in the form of annotations of subsets of data. Goal of this demonstration is to showcase the IAM approach using a notebook where the user can create a data exploration session by writing describe and assess statements, whose results are displayed by combining tabular data and charts so as to bring the highlights discovered to the user's attention. The demonstration plan will show the effectiveness of the IAM approach in supporting data exploration and analysis and its added value as compared to a traditional OLAP session by proposing two scenarios with guided interaction and letting users run custom sessions.

Describing and Assessing Cubes Through Intentional Analytics / Matteo Francia, Matteo Golfarelli, Stefano Rizzi. - ELETTRONICO. - (2023), pp. 803-806. (Intervento presentato al convegno 26th International Conference on Extending Database Technology (EDBT 2023) tenutosi a Ioannina, Greece nel March 28-31, 2023).

Describing and Assessing Cubes Through Intentional Analytics

Matteo Francia;Matteo Golfarelli;Stefano Rizzi
2023

Abstract

The Intentional Analytics Model (IAM) has been envisioned as a way to tightly couple OLAP and analytics by (i) letting users explore multidimensional cubes stating their intentions, and (ii) returning multidimensional data coupled with knowledge insights in the form of annotations of subsets of data. Goal of this demonstration is to showcase the IAM approach using a notebook where the user can create a data exploration session by writing describe and assess statements, whose results are displayed by combining tabular data and charts so as to bring the highlights discovered to the user's attention. The demonstration plan will show the effectiveness of the IAM approach in supporting data exploration and analysis and its added value as compared to a traditional OLAP session by proposing two scenarios with guided interaction and letting users run custom sessions.
2023
Proceedings 26th International Conference on Extending Database Technology
803
806
Describing and Assessing Cubes Through Intentional Analytics / Matteo Francia, Matteo Golfarelli, Stefano Rizzi. - ELETTRONICO. - (2023), pp. 803-806. (Intervento presentato al convegno 26th International Conference on Extending Database Technology (EDBT 2023) tenutosi a Ioannina, Greece nel March 28-31, 2023).
Matteo Francia, Matteo Golfarelli, Stefano Rizzi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/914450
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