Data-Driven Decision-Making in Intelligent Systems
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 56
Special Issue Editor
Interests: Industry 4.0; intelligent systems; management of information systems; predictive and prescriptive analytics; real-time decision-making; proactive and event-driven computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Data science encompasses the principles, processes, and methods used to analyze data in order to derive useful insights. In this way, data analytics is capable of enhancing decision-making in the business context, either referring to long-term management decisions or to (near) real-time decisions, usually at the operational level. The literature, but also real-life applications, demonstrate that data-driven decision-making exhibits higher productivity and efficiency, as well as higher returns on assets, equity, and market value. Therefore, there is a wide range of actual and potential applications, such as direct marketing, online advertising, credit scoring, financial trading, fraud detection, search ranking, telecommunications, product recommendations, manufacturing operations, etc. With the emergence of intelligent systems, more and more information systems have been developed in order to automate data-driven decision-making. However, information systems development has to face new challenges derived from the large amounts of data, from heterogeneous data sources, existing in the business environments. This Special Issue welcomes research works dealing with the design and development of intelligent systems for data-driven decision-making. In this sense, it welcomes research works on architectures, algorithms, methods, and application-oriented research on exploiting data for supporting decision-making with the use of information systems.
Dr. Alexandros Bousdekis
Guest Editor
Manuscript Submission Information
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Keywords
- intelligent systems
- data analytics
- machine learning
- decision-making
- information systems for data-driven decision-making
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