Open Data Availability and Suitability for Financial Analyses

Baskurt, Gulcan; Martin, Sébastien; Sarvari, Peiman Alipour; Khadraoui, Djamel

doi:10.1007/978-3-030-42416-9_25

Cited by 1 publication

(1 citation statement)

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“…Text is one of the most common sources of data available ubiquitously. Therefore, benefitting from such a rich source of data requires tools and algorithms like text data mining that is mainly known as text mining [26]. Text mining is a collection of techniques and algorithms to conduct a process to transform unstructured format of data into structured data to extract meaningful insights out of them [27].…”

Section: Background Of Text Miningmentioning

confidence: 99%

A Semiautonomous Approach for Strategic Decision-Making; an Application for Digital Transformation in Finance

Sarvari

Martin

Grybauskas

et al. 2022

Preprint

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This paper proposes an innovative approach to help domain knowledge experts with technology roadmapping and the strategic decision-making process. In our approach, we introduce a retrofitted parallel coordinate visualization tool, which is enhanced with a feature importance analysis algorithm. Our approach has produced four significant achievements. First, our new method reveals the shortcomings of some traditional parallel coordinate tools. Second, our method applies neutrosophic fuzzy sets in tacit knowledge analysis to foster ease with written text data; it assists with the processes in exploring possible roadmapping strategies, measuring vicinity conditions of adjacent features, and prioritizing their order based on the desired solution space of a certain attributes. The methods are applied in a case study with actual data that comes from a research project designed for financial organizations’ digitalization. Third, the application of parallel coordinates is reported for the first time for technology roadmapping in finance. Finally, proof of concept and a benchmarking practice considering generated hypotheses are provided in this paper.

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Section: Background Of Text Miningmentioning

confidence: 99%