Wyniki wyszukiwania dla: MOBILE BUSINESS INTELLIGENCE

• Toward a unified model of mobile Business Intelligence (m-BI) acceptance and use

  Publikacja

  • P. Weichbroth
  • J. Kowal
  • M. Kalinowski

  - Rok 2022

  Factors affecting mobile business intelligence (m-BI) acceptance and use have become an increasingly important topic in practice due to the growing complexity of organizations, and their underlying information systems (IS). Since, one can notice considerable interest in m-BI, however, to the best of our knowledge few studies (if any) aim to synthesize the existing body of knowledge with regards to the factors affecting m-BI acceptance...

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• Toward a unified model of mobile Business Intelligence (m-BI) acceptance and use

  Publikacja

  • P. Weichbroth
  • J. Kowal
  • M. Kalinowski

  - Rok 2022

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• Implementation of Business Intelligence in an IT organization - the concept of an evaluation model

  Publikacja

  • T. Sitek
  • M. Litka

  - Foundations of Management - Rok 2013

  This paper presents the issue of assessing the validity and effectiveness of implementing a Business Intelligence system in an IT Support Organization. This entity provides IT services to external clients involving, in particular, the storage and processing of large amounts of data. The vast amount of realized projects and also incidents reported in connection with those projects prevented effective decisions from being made without...

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• Exploring the Benefits, Challenges, and Opportunities of Collaborative Business Intelligence

  Publikacja

  • P. Weichbroth
  • J. Zurada
  • C. Olszak

  - Rok 2024

  In traditional business intelligence (BI) settings, the collective decision-making process is often hindered by the absence of knowledge and expertise exchange among various stakeholders, as well as lack of information sharing. The study delves into the concept of Collaborative BI, which aims to overcome these limitations by promoting collaboration, business networking, knowledge sharing, and improved communication among stakeholders....

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• DUABI - Business Intelligence Architecture for Dual Perspective Analytics

  Publikacja

  • C. Bartosz
  • T. Zawadzka

  - Rok 2017

  A significant expansion of Big Data and NoSQL databases made it necessary to develop new architectures for Business Intelligence systems based on data organized in a non-relational way. There are many novel solutions combining Big Data technologies with Data Warehousing. However, the proposed solutions are often not sufficient enough to meet the increasing business demands, such as low data latency while still maintaining high...

• Artificial i business intelligence w zarządzaniu procesem logistycznym organizacji gospodarczej

  Publikacja

  • J. Czuchnowski

  - Rok 2009

  W rozdziale zaprezentowano założenia reengineeringu procesu logistycznego zarządzania rezerwą awaryjną majątku sieciowego. Reengineering procesu polega na określeniu docelowej struktury organizacyjnej, zaprojektowaniu procedur organizacyjnych, określeniu optymalnych wielkości zapasów poszczególnych pozycji majątku sieciowego z uwzględnieniem ich przestrzennego rozmieszczenia na terytorium Spółki oraz zaprojektowaniu założeń systemu...

• Some Artificial Intelligence Driven Algorithms For Mobile Edge Computing in Smart City

  Publikacja

  • J. Balicki
  • P. Dryja
  • M. Zakidalski

  - Rok 2019

  Smart mobile devices can share computing workload with the computer cloud that is important when artificial intelligence tools support computer systems in a smart city. This concept brings computing on the edge of the cloud, closer to citizens and it can shorten latency. Edge computing removes a crucial drawback of the smart city computing because city services are usually far away from citizens, physically. Besides, we introduced...

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• Lessons learned from developing an Industry 4.0 mobile process management system supported by Artificial Intelligence

  Publikacja

  • M. Kalinowski
  • P. Weichbroth

  - Informatyka Ekonomiczna. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu - Rok 2022

  Research, development and innovation (RDI) projects are undertaken in order to improve existing, or develop new, more efficient products and services. Moreover, the goal of innovation is to produce new knowledge through research, and disseminating it through education and training. In this line of thinking, this paper reports and discusses the lessons learned from the undertaken project, regarding three areas: machine learning...

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• Journal of Intelligence Studies in Business

  Czasopisma

  ISSN: 2001-015X

• International Journal of Business Intelligence Research

  Czasopisma

  ISSN: 1947-3591 , eISSN: 1947-3605