Adaptive Business Data Visualizations and Exploration: A Human-centred Perspective

Abstract

Today’s business environments are characterized by an indisputable growth in the volume, complexity and multivariate nature of business processes, data structures and sources. For the business end-users, this is many times an overwhelming and demotivating experience when interacting with rich business data visualizations and scenarios. As they need to explore demanding use cases, create fast an understanding and make informed decisions so to meet their business goals. This position paper addresses this challenge by introducing a human-centred model that consists of four main dimensions: User, Visualizations, Data, and Tasks, and which is maintained at the core of an adaptive data analytics platform in the business domain. The aim is two-fold: To provide (a) best-fit representation of data for the unique end-users, and (b) personalized and transparent path of exploration towards accomplishing purposeful end-to-end business activities. Thus, enabling explainable and intuitive interactions for accurate decision making and problem solving – saving time and costs.