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Convergence of business and their processes: A data analytics approach
Vieira, Cristiana; Sousa, Vânia; Vieira, António Amaro Costa; Santos, Maribel YasminaIn today’s data-driven landscape, businesses increasingly rely on both data science and process science to enhance operational efficiency and strategic decision-making. However, a significant gap exists between these two disciplines, hindering the realization of their full potential synergy. This paper proposes a novel approach to bridge this gap through the integration of business analytics and process analyti...
A methodology for the systematic design of storytelling dashboards applied to I...
Lavalle, Ana; Maté, Alejandro; Santos, Maribel Yasmina; Guimarães, Pedro Rui Pereira; Trujillo, Juan; Santos, AntoninaDashboards are popular tools for presenting key insights to decision-makers by translating large volumes of data into clear information. However, while individual visualizations may effectively answer specific questions, they often fail to connect in a way that conveys the overall narrative, leaving decision-makers without a cohesive understanding of the area under analysis. This paper presents a novel methodol...
A multi-dimensional model for the design and development of analytical informat...
Santos, Maribel Yasmina; León, AnaThe design and development of Analytical Information Systems demand efficient techniques and technologies for processing vast amounts of data that arrive at high velocity or that are available in legacy/operational systems. While many advances have been verified in the technological field to deal with the potential volume, velocity, and variety of the data, fewer contributions can be found in the methodological...
A model-driven approach to enhance data visualization through domain knowledge ...
Almeida, Andreia; Alves, Alberto; Santos, Maribel Yasmina; León, Ana; Pires, João MouraBig Data is challenging analytical contexts, namely when aligning data and analytical requirements. While the capacity to collect and store new data is expanding rapidly, the pace at which it can be analyzed is developing more slowly. Defining these analytical requirements and selecting the most appropriate visualizations often depends on an in-depth understanding of what users need from the data. To address th...
RCIS 2024: Joint proceedings of workshops and research projects track
Araújo, João; de la Vara, Jose Luis; Condori-Fernández, Nelly; Bruel, Jean Michel; Santos, Maribel Yasmina; Assar, Saïd[Excerpt] Preface: The 18th International Conference on Research Challenges in Information Science (RCIS 2024) took place from the 14th to the 17th of May 2024. The conference was held as a live, in-person event in Guimarães, Portugal. Guimarães is a scenic historical city located in the north of the country and considered the cradle of the Portuguese nation. RCIS aims to bring together scientists, researchers,...
Data mesh adoption: A multi-case and multi-method readiness approach
Ramos, Isabel; Santos, Maribel Yasmina; Joshi, Divya; Pratik, SheetalData Warehousing systems have been used to support Business Intelligence applications by ingesting operational data and providing analytical data. As data volume, variety, and velocity increased in Big Data contexts, this data architecture needed to be modernised, and Big Data Warehouses emerged as scalable, high-performance, and highly flexible processing systems capable of handling ever-increasing volumes of ...
Model-to-model transformation: from UML class diagrams to labeled property graphs
León, Ana; Santos, Maribel Yasmina; García, Alberto; Casamayor, Juan Carlos; Pastor, OscarConceptual schemas are the basis to build well-grounded Information Systems, by representing the main concepts of a domain of knowledge, as well as the relationships among them. Since conceptual schemas focus on the concepts, they are independent of the specific technological platform used to implement them. This allows a single conceptual schema to be transformed into different platform-specific models accordi...
Integrating business and process analytics for enhanced Data-Driven decision-ma...
Sousa, Vânia; Vieira, Cristiana; Lavalle, Ana; Vieira, António Amaro Costa; Santos, Maribel YasminaBy integrating Business Analytics and Process Analytics, organizations can gain a deeper understanding of the relationship between process inefficiencies and business outcomes, leading to improved data-driven decision-making. This integration, however, is often overlooked, with limited methodological guidance for systematically combining these two analytical domains. Motivated by this challenge, this paper prop...
Large language models: Expectations for semantics-driven systems engineering
Buchmann, Robert; Eder, Johann; Fill, Hans Georg; Frank, Ulrich; Karagiannis, Dimitris; Laurenzi, Emanuele; Mylopoulos, John; Plexousakis, DimitrisThe hype of Large Language Models manifests in disruptions, expectations or concerns in scientific communities that have focused for a long time on design-oriented research. The current experiences with Large Language Models and associated products (e.g. ChatGPT) lead to diverse positions regarding the foreseeable evolution of such products from the point of view of scholars who have been working with designed ...
Preface [18th International Conference on Research Challenges in Information Sc...
Araújo, João; de la Vara, Jose Luis; Santos, Maribel Yasmina; Assar, Saïd[Excerpt] This volume of the Lecture Notes in Business Information Processing series contains the proceedings of the 18th International Conference on Research Challenges in Information Science, RCIS 2024, held in Guimarães, Portugal, during May 14–17, 2024. Guimarães is a scenic historical city located in the north of the country and considered the cradle of the Portuguese nation. The scope of RCIS covers the t...