Special Issue: Emerging Challenges and Trends in Business Intelligence (Polytechnic Open Library International Bulletin of Information Technology and Science: POLIBITS)
Organization: Eureka International
Event: Polytechnic Open Library International Bulletin of Information Technology and Science: POLIBITS
CALL FOR PAPERS
Special Issue: Emerging Challenges and Trends in Business Intelligence
Journal: Polytechnic Open Library International Bulletin of Information Technology and Science (POLIBITS)
February 7, 2021: Full paper submission
March 31, 2021: Review results returned
April 30, 2021: Revised paper submission
May 31, 2021: Final acceptance/rejection decision
Business Intelligence (BI) has a substantial impact on our world today. Data is a pretty big deal in modern business and marketing; it fuels BI in virtually every organization and is showing no signs of slowing down. BI is becoming increasingly swifter and more precise, and approaches from mathematical and computer sciences areas are involved in meeting this demand.
BI is one of the most distinguished manifestations of the knowledge economy of the last decade. Transforming data in knowledge and using it harmonically in decision making is not anymore a luxury of the most prestigious companies, but an obligation to get competitive products and services and excellent performance in markets. As a result, companies must make use of the latest methods and innovations in the field to keep up with competing businesses in terms of digitization and competition.
Eurekas is a multidisciplinary community of scientists of more than 60 research groups of 20 countries of America and Europe, which make scientific contributions in the area of BI. Eurekas Community joins Mathematicians, Computer Scientists, Administrators, Engineers, and Social Scientists and uses hybridization as the core strategy towards transdisciplinary research, its declared vocation.
Emerging Challenges and Trends in Business Intelligence is an editorial initiative of the Eurekas Community (eurekaiberoamerica.net), and their mentioned strategies are present in it. Papers with Artificial Intelligence (AI) theoretical approaches for BI and their applications to pressing business problems will be joined in this issue.
- AI Adoption
- Agile BI Development
- Analytical Databases
- Augmented Analytics
- Big Data Analytics
- Collaborative BI
- Cloud BI
- Data Automation
- Data-Driven Culture
- Data Governance
- Data Labs/Science
- Data Preparation
- Data Quality Management
- Data Storytelling
- Data Visualization
- Data Warehouse Modernization
- Embedded Analytics
- Integrated Platforms for Performance Management
- Knowledge Discovery
- Lean Planning
- Master Data
- Mobile BI
- Natural Language Processing
- New Avenues for Data Discovery
- Operational Efficiency
- Predictive and Prescriptive Analytics Tools
- Real-Time Analytics
- Self-service Analytics
- Spatial/Location Intelligence
GUIDE FOR AUTHORS
Researchers and practitioners are invited to submit, on or before February 7, 2021, a full-length original-research paper of 4,000 to 8,000 words clearly explaining the purpose, relevance, and contribution of their proposed article (please, contact the editors if your document has a longer extension).
The papers must be written in British English or American English, using the IEEE Transactions on Computers 2-column template for Word (download here: template-selector.ieee.org), and providing as high-resolution images as possible. The editors keep the right to copyedit or proofread the final version of the paper if necessary.
All submitted manuscripts will be reviewed on a double-blind review basis. So, the full text of the papers should be uploaded without the names and affiliations of the authors and without any other data that reveal the authors' identity. For review, please submit your article in PDF; in case of acceptance, you will need to upload your source file in Word. We will send you further instructions on uploading your camera-ready source files upon acceptance notification.
Corresponding authors should submit proposals to this special issue through the EasyChair online submission manager at easychair.org/conferences/?conf=bipolibits63. Contributors may also be requested to serve as reviewers for this project; please, make efforts to accept the review invitation.
Note: There are no acceptance or publication fees for manuscripts submitted to this issue, "Emerging Challenges and Trends in Business Intelligence." All papers will be accepted based on a double-blind peer-review editorial process.
This special issue is scheduled to be published by the Polytechnic Open Library International Bulletin of Information Technology and Science (POLIBITS), issue 63. POLIBITS is indexed in ISI Thomson / Clarivate Web of Science SciELO collection, CONACYT, DBLP, LatIndex, Periódica, Redalyc, and Cabell's Directories. For additional information regarding the publisher, please visit polibits.gelbukh.com. This publication is anticipated to be released in the first half of 2021.
Dr. Laura CRUZ-REYES, Tecnológico Nacional de México / Instituto Tecnológico de Cd. Madero
Dr. Félix CASTRO-ESPINOZA, Universidad Autónoma del Estado de Hidalgo
Dr. Gilberto RIVERA, Universidad Autónoma de Ciudad Juárez
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