Investigating Business Intelligence in the era of Big Data

Bousty, H. El; Krit, Salah-ddine; Elasikri, M.; Dani, Hassan; Karimi, K.J.; Bendaoud, Kaoutar; Kabrane, M.

doi:10.1145/3234698.3234723

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…In a big data era [6] analysis is the center of modern science [58]. This concept deals with formatting, storing, and analyzing large datasets [59]. These data can be generated by emails, online transactions, videos, audio, images, click streams, logs, posts, search queries, health records, social networking interactions, science data, sensors, and mobile phone applications [60,61], conveying different concepts [62].…”

Section: Big Datamentioning

confidence: 99%

Faraway, so Close: Perceptions of the Metaverse on the Edge of Madness

Cruz,

Oliveira,

Pinheiro

2024

Computers

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With the evolution of technologies, virtual reality allows us to dive into cyberspace through different devices and have immersive experiences in different contexts, which, in a simple way, we call virtual worlds or multiverse (integrating Metaverse versions). Through virtual reality, it is possible to create infinite simulated environments to immerse ourselves in. Future internet may be slightly different from what we use today. Virtual immersion situations are common (particularly in gaming), and the Metaverse has become a lived and almost real experience claiming its presence in our daily lives. To investigate possible perspectives or concepts regarding the Metaverse, virtual reality, and immersion, we considered a main research question: To what extent can a film centered on the multiverse be associated with adults’ Metaverse perceptions? Considering that all participants are adults, the objectives of this study are: (1) Verify the representations of the Metaverse; (2) Verify the representations of immersion; (3) Verify the representations of the multiverse; (4) Verify the importance of a film (related to the Metaverse and the multiverse) on the representations found. This study—framed in a Ph.D. research project—analyzed the participants’ answers through an online survey using two films to gather thoughts, ideas, emotions, sentiments, and reactions according to our research objectives. Some limitations were considered, such as the number of participants, number of the questionnaire questions and the knowledge or lack of the main concepts. Our results showed that a virtual world created by a movie might stimulate the perception of almost living in that supposed reality, accepting the multiverse and Metaverse not as distant concepts but as close experiences, even in an unconscious form. This finding is also a positive contribution to a discussion in progress aiming for an essential understanding of the Metaverse as a complex concept.

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Section: Big Datamentioning

confidence: 99%

Faraway, so Close: Perceptions of the Metaverse on the Edge of Madness

Cruz,

Oliveira,

Pinheiro

2024

Computers

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“…However, recent research points to the need for an updated BI architecture, using, in addition to the usual components, Big Data techniques to deal with the increase in the volume, variety, and speed of generated data. For (Bousty, et al, 2018), most current BI solutions are not able to keep up with the rapid evolution of data generation. (Santos & Costa, 2016), exemplify the migration from a traditional Data Warehouse to the Big Data scenario, thus supporting BI.…”

Section: Q4 -Can the Use Of Data Mining And Big Data Minimize The Dif...mentioning

confidence: 99%

A Systematic Review on the Implementation of Business Intelligence at Federal Universities

2021

Proceedings of the International Conferences on WWW/Internet 2021 and Applied Computing 2021

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Institutions (companies or organizations) due to the high level of complexity of their processes and the need to expand competitive advantages make use of Management Information Systems (MIS) to give their managers correct and immediate information for decision-making. Specifically, federal universities, that search for other objectives (quality, efficiency in their final area -education) also depend on these same MIS to achieve their management objectives. However, the lack of data systematization, lack of systems models, and a wide and complex decision-making structure make these institutions have difficulties in presenting their information correctly, unified, and standardized. From this context, this paper presents a Systematic Literature Review (SLR) on the implementation process of Business Intelligence (BI) in federal institutions of education with the premise of characterizing the information model contained in these institutions. As a methodology, a Systematic Review was established with an emphasis on three aspects: delimitation of the theme; review protocol and conducting the review. The results obtained in the analysis point towards the use of Big Data and Data Mining to support decision-making.

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“…Santos, Silva, and Belo (2014) highlighted the dealing of vast data sets in a short time slot for data warehouse systems as a challenge due to the need for massive computational resources and storage requirements [3]. Bousty, Krit, Elasikiri, Dani, Karimi, Bendaoud, and Kabrane (2018) have recommended continuous updates of server and storage processing capacities to tackle the new data requirement [4]. Their research also recommends utilizing cloud-based solutions to keep the processing capabilities elastic to reduce additional investments.…”

Section: Related Workmentioning

confidence: 99%

Untitled

2020

IJDMS

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The effectiveness of a Business Intelligence System is hugely dependent on these three fundamental components, 1) Data Acquisition (ETL), 2) Data Storage (Data Warehouse), and 3) Data Analytics (OLAP). The predominant challenges with these fundamental components are Data Volume, Data Variety, Data Integration, Complex Analytics, Constant Business changes, Lack of skill sets, Compliance, Security, Data Quality, and Computing requirements. There is no comprehensive documentation that talks about guidelines for ETL, Data Warehouse and OLAP to include the recent trends such as Data Latency (to provide real-time data), BI flexibility (to accommodate changes with the explosion of data) and Self-Service BI. This research paper attempts to fill this gap by analyzing existing scholarly articles in the last three to five years to compile guidelines for effective design, implementation, and assessment of DW, ETL, and OLAP in BI.

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Investigating Business Intelligence in the era of Big Data

Cited by 5 publications

References 29 publications

Faraway, so Close: Perceptions of the Metaverse on the Edge of Madness

Faraway, so Close: Perceptions of the Metaverse on the Edge of Madness

A Systematic Review on the Implementation of Business Intelligence at Federal Universities

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