Visualization pipeline for location-based data

Abstract

The master’s thesis focused on answering how to turn a plethora of location-based data into a visualization pipeline. The goal was to find a way to bring the most value to the users of the visualization pipeline, in this case a taxi company, by defining a set of audience-oriented approaches. The audience-oriented approaches were tested using a case study, using the taxi company as the test subject. The case study was used to test the functionality and design of the visualization pipeline, as well as to test the audience-oriented approaches in practice. The success of the visualization pipeline was assessed using a Business Intelligence assessment model. The Business Intelligence assessment was usedas a benchmark for how much value the implemented visualization pipeline provided. We were able to define three types of audiences, and correspondingly three different approaches for these said audience types. The three audience types were activists, analysts and organizational decision-makers, and their approaches were defined correspondingly as”lightweight”, ”technical”, and ”tailored” approaches.The case study was carried out by defining an audience group for the customer. The case study defined the case customer as an organizational decision-maker, thus resulting the ”tailored” approach as the best fit. The approach provided the most value to the case customer both in the terms of technical requirements as well as in the terms of data analytical needs. This case study showed promise for the utility of an audience-oriented approach in visualization pipeline design.