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Business Intelligence and Data Analytics in Enterprise Systems

Special Issue Information

Dear Colleagues,

The increasing complexity of enterprise systems, combined with the huge amount of real-time generated data, raises new challenges related to the capacity of organizations to extract value, to support informed decisions, and to adapt in dynamic contexts. In light of these challenges, business intelligence and data analytics are no longer simple analytic tools, but components of a larger adaptive, intelligent digital ecosystem.

This Special Issue of Systems aims to explore the way that business intelligence, supported by recent advances in artificial intelligence and machine learning, transforms enterprise systems’ architecture and functions. We invite researchers, practitioners, and professionals in related fields to contribute their work that approaches theoretical perspectives and practical applications about the integration of  intelligent analytical solutions in complex systems.

This Special Issue encourages contributions that address, but are not limited to, the following topics:

  • Augmented business intelligence and AI application in automated insight generation;
  • BI integration with enterprise information systems (ERP, CRM, SCM, etc.);
  • BI and data analytics as factors of digital transformation and organizational resilience;
  • Using machine learning in predictive and prescriptive analytics in organizations;
  • Process mining and business process intelligence;
  • New data architectures and modeling approaches to support advanced analytics;
  • Modern data infrastructures (data mesh and data fabric) and real-time analysis;
  • Data governance and ethical aspects of AI-based analytics.

The main purpose of this Special Issue is to provide interdisciplinary perspectives that link systems theory, data science, organizational management, and AI technologies in order to find answers to the complex challenges of the real world.

Prof. Dr. Ana Ramona Bologa
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • business intelligence
  • data analytics
  • enterprise systems
  • artificial intelligence
  • machine learning
  • systems thinking
  • process mining
  • digital transformation
  • decision support systems
  • data governance

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Systems - ISSN 2079-8954