Sap Se

Patricia Seemann

Martine Clemot

Mandana Samii

An interactive tag cloud provides an intuitive interface to large data volumes. Where the data is a large table, an overview afforded by the tag cloud may contain relevant table information ranked by priority and volume, represented in different categories. The tag cloud may be used to filter that big data in an efficient manner. This allows an ordinary (i.e., non-developer) user of the database to quickly assess high level contours of the data volumes, and also to filter that data in order to focus on specific tasks. The interactive tag cloud visualization may indicate data priority according to frequency of incidence of a dimension in database records, or according to other criteria such as importance derived from date information. The tag cloud affords visibility to aggregated big data content and also of filtered data, prior to the user having to immediately drill down in order to access details thereof.

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Limburgerhof, Germany

Patricia Seemann