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Tom Horak

Software Engineer

elevait GmbH & Co. KG

Improving Value Driver Trees to Enhance Business Data Analysis

Tom Horak, Ulrike Kister, Raimund Dachselt.
In: Poster Program of the 2017 IEEE Conference on Information Visualization (InfoVis). 2017.
VIS '17 Poster
PDF Bibtex Poster Video

Abstract

In this work, we focus on improving data exploration for the specific multivariate graph application case of value driver trees (VDTs). Based on value drivers and an underlying model, VDTs are used to assess business's performance of companies. Taking into account the specific challenges of VDTs, we present an improved node representation using embedded visualizations as well as interaction concepts for local semantic zooming and simulations or predictions within these trees.

Video

Poster

This work was presented as a poster at the IEEE VIS 2017 conference:

poster

Bibtex

@InProceedings{Horak2017,
  author    = {Tom Horak and Ulrike Kister and Raimund Dachselt},
  title     = {Improving Value Driver Trees to Enhance Business Data Analysis},
  booktitle = {Poster Program of the 2017 IEEE Conference on Information Visualization (InfoVis)},
  year      = {2017},
  location  = {Phoenix, Arizona, USA},
  numpages  = {2},
}