1 research outputs found
Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge
Investment planning requires knowledge of the financial landscape on a large
scale, both in terms of geo-spatial and industry sector distribution. There is
plenty of data available, but it is scattered across heterogeneous sources
(newspapers, open data, etc.), which makes it difficult for financial analysts
to understand the big picture. In this paper, we present Sabrina, a financial
data analysis and visualization approach that incorporates a pipeline for the
generation of firm-to-firm financial transaction networks. The pipeline is
capable of fusing the ground truth on individual firms in a region with
(incremental) domain knowledge on general macroscopic aspects of the economy.
Sabrina unites these heterogeneous data sources within a uniform visual
interface that enables the visual analysis process. In a user study with three
domain experts, we illustrate the usefulness of Sabrina, which eases their
analysis process