Ilona Veitaitė

Dr. Ilona Veitaitė

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 October 2017
Verified
Book Chapter
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IVIlona Veitaitė
Ilona Veitaitė
ALAudrius Lopata
Audrius Lopata

1 November 2024 in Electronics
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Journal Article
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2L2022-10-15 Lopata
2022-10-15 Lopata
Daina GudonieneDaina Gudoniene
Daina Gudoniene
RBRimantas Butleris
Rimantas Butleris
IVIlona Veitaitė
Ilona Veitaitė
Vytautas RudžionisVytautas Rudžionis
Vytautas Rudžionis
SGSaulius Gudas
Saulius Gudas
Multidimensional enterprise performance characteristics (enterprise operational data, financial transactions records) are stored in the company’s database (warehouse), and their volume and variety are huge. Financial transaction data are directly and indirectly related to value chain processes, various physical objects of activity, and their attributes. There are data mining (DM) and process mining (PM) methods for analyzing enterprise operational data and identifying deficiencies in business process management. There is a need to find new user experience (UX)-driven methods for user interface with the specification of DM and PM tools on the level of business process management concepts. The paper presents the UX design-based approach to designing the user interface (UI) of process mining and data mining systems and is based on a conceptual semantic model named financial data space (FDS). The peculiarity of FDS is that it can include the characteristics of financial data and other UX-related characteristics (events, environmental and internal changes, business location) that may have an impact on changes in the values of financial objects (FO). The presented multidimensional financial data model helps increase the possibility of uncovering management weaknesses by identifying anomalies in large amounts of financial data. The prototypes of components of the financial data analysis system are described and developed using the process mining tool. The presented method of a multidimensional representation of financial data and transformation into a PM project is a user-friendly solution that allows to increase the analytical capabilities of the auditor’s work with large amounts of data, providing a more flexible view of the financial indicators of the company’s activity.

13 February 2020
Verified
Book Chapter
Closed access
PDF file
IVIlona Veitaitė
Ilona Veitaitė
ALAudrius Lopata
Audrius Lopata

29 August 2018
Verified
Book Chapter
Closed access
PDF file
IVIlona Veitaitė
Ilona Veitaitė
ALAudrius Lopata
Audrius Lopata

10 January 2024
Verified
Book Chapter
Closed access
PDF file
IVIlona Veitaitė
Ilona Veitaitė
2L2022-10-15 Lopata
2022-10-15 Lopata
SGSaulius Gudas
Saulius Gudas

1 January 2022
Verified
Book Chapter
Open access
PDF file
IVIlona Veitaitė
Ilona Veitaitė
ALAudrius Lopata
Audrius Lopata
The main purpose of this paper is to present knowledge-based Enterprise model (EM) sufficiency as data repository for Unified Modelling Language (UML) models generation. UML models are one of the most usable modelling languages in system lifecycle design stage, despite the problem domain of the system. UML models can be generated from Enterprise Model by using particular transformation algorithms presented in previous researches. Generation process from Enterprise model is represented by certain Hospital Information Management process example. Generated UML dynamic Use Case, Activity, Sequence and State models of different perspectives of Hospital Information Management process prove sufficiency of stored information in Enterprise model.