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Modeling Analytical Streams for Social Business Intelligence

Indira Lanza-Cruz, Rafael Berlanga, María Aramburu
2018 Informatics  
Social Business Intelligence (SBI) enables companies to capture strategic information from public social networks.  ...  Contrary to traditional Business Intelligence (BI), SBI has to face the high dynamicity of both the social network's contents and the company's analytical requests, as well as the enormous amount of noisy  ...  • We propose a streaming architecture specially aimed at Social Business Intelligence. • We propose a new method to model analytical streams for Social Business Intelligence.  ... 
doi:10.3390/informatics5030033 fatcat:g6p5evh4vvfpveje5rkxa7wwvy

Big Data Stream Analytics for Near Real-Time Sentiment Analysis

Otto K. M. Cheng, Raymond Lau
2015 Journal of Computer and Communications  
This phenomenon provides organizations with unprecedented opportunities to tap into big data to mine valuable business intelligence.  ...  However, traditional business analytics methods may not be able to cope with the flood of big data.  ...  Analyzing the sentiments of messages posted to social networks or online forums can generate countless business values for the organizations which aim to extract timely business intelligence about how  ... 
doi:10.4236/jcc.2015.35024 fatcat:hibfywzdavd7vo6tiav7xfyopq

Business intelligence addressing service quality for big data analytics in public sector

Sadesh Manikam, Shamsul Sahibudin, Vinothini Kasinathan
2019 Indonesian Journal of Electrical Engineering and Computer Science  
With the establishment of big data analytics framework, performance measurement can be enforced effortlessly using the principles of business intelligence maturity model and the technological stack comes  ...  <span>With the inauguration of Big Data Analytics initiative nationally, many nations have participated and paved way for BDA ecosystem.  ...  Emergence of Big Data in 2011 as the leading chapter in Business Intelligence and Analytics [6] , it was represented unusual data source (e.g., sensors, social media, streaming data, video and voice)  ... 
doi:10.11591/ijeecs.v16.i1.pp491-499 fatcat:whge2rq3i5aqlleedwx44puvou

BIBLIOMETRIC ANALYIS OF ARTIFICIAL INTELLIGENCE IN BUSINESS ECONOMICS

Ivan Novak
2019 Poslovna izvrsnost - Business excellence  
This paper aims to explore the research area of artificial intelligence with the emphasis on the business economics field.  ...  Results provide systemic overview of the most influential authors, seminal papers and the most important sources for AI publication.  ...  Third sub-stream of research is described with topics such as neural networks, forecast, simulation, optimization, agent based models, pricing, computational intelligence and hybrid modelling.  ... 
doi:10.22598/pi-be/2019.13.2.131 fatcat:guir4evkajew3ftq4qx5l46k6i

Business Intelligence and Analytics

Ee-Peng Lim, Hsinchun Chen, Guoqing Chen
2013 ACM Transactions on Management Information Systems  
Business intelligence and analytics (BIA) is about the development of technologies, systems, practices, and applications to analyze critical business data so as to gain new insights about business and  ...  The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications.  ...  can text analytics be performed for stream data?  ... 
doi:10.1145/2407740.2407741 fatcat:enjlhfzqfnfqvlv63axun5dvee

Preface

2020 2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)  
Juan Guerrero, for his help during the production process.  ...  Lastly, but not the least, we are extremely thankful to all the authors for their academic input and participation in the virtual mode of conference.  ...  Business Intelligence Computer Science Decision Making in Social Setting Decision Making under Uncertainty Decision Making with Multimedia Decision Theory and Decision Sciences Digital Market Design  ... 
doi:10.1109/icdsba51020.2020.00005 fatcat:awjxukrbtzhprgj4he22dd6nfq

PlanetSense: A Real-time Streaming and Spatio-temporal Analytics Platform for Gathering Geo-spatial Intelligence from Open Source Data [article]

Gautam S. Thakur, Budhendra L. Bhaduri, Jesse O. Piburn, Kelly M. Sims, Robert N. Stewart, Marie L. Urban
2015 arXiv   pre-print
integrated with sophisticated data mining algorithms and analytics tools for generating operational intelligence on the fly.  ...  GeoData Cloud - a data architecture for storing and managing disparate datasets; ii. Mechanism to harvest real-time streaming data; iii. Data analytics framework; iv.  ...  A novel feature is an analytics layer that input data for discovering intelligence in real-time.  ... 
arXiv:1507.05245v1 fatcat:taioonemgzf5rhpoceg27kgnb4

Deep neural network: Recognize Data Management of Artificial Intelligence in Retail

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Deep neural networks with the artificial intelligence on Machine Learning (ML) algorithms constitute the best design specifically to deal with vast amount of data for retail business.  ...  Finally, system precede and follow a NoSQL layers of a model employs in-memory database compression techniques and executes data management challenges with large datasets successfully.  ...  data and streams of events across the business database.  ... 
doi:10.35940/ijitee.j9779.0881019 fatcat:cp4x2k5gjvgsjc3sdsh2thkpp4

The Power of EI Competencies Over Intelligence and Individual Performance: A Task-Dependent Model

Margarida Truninger, Xavier Fernández-i-Marín, Joan M. Batista-Foguet, Richard E. Boyatzis, Ricard Serlavós
2018 Frontiers in Psychology  
Prior research on emotional intelligence (EI) has highlighted the use of incremental models that assume EI and general intelligence (or g) make independent contributions to performance.  ...  Whilst in analytic tasks g has a stronger effect on performance at lower levels of EI competencies, our data comes short to show a positive interaction of EI and g in affecting performance on social tasks  ...  Expected performance is shown in red for social courses and in blue for analytic courses.  ... 
doi:10.3389/fpsyg.2018.01532 pmid:30245651 pmcid:PMC6137254 fatcat:uvwnfjp2kza2rbopocir2tnsru

Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World

Abdelaziz Darwiesh, Mohammed. I Alghamdi, A. H. El-Baz, Mohamed Elhoseny, M. Praveen Kumar Reddy
2022 Journal of Healthcare Engineering  
The proposed framework utilizes some of the most significant tools in this era, such as social media and big data analysis for business intelligence systems.  ...  In this paper, we proposed an advanced business intelligence framework for firms in a post-pandemic phase to increase their performance and productivity.  ...  data analytics services for enhancing business intelligence 2018 big data analytics in enterprise information enhancing business intelligence and Big data analytics model service-oriented architecture  ... 
doi:10.1155/2022/6967158 pmid:35281539 pmcid:PMC8913073 fatcat:gfjf2zrbefe6bhaarqw5l243ta

Data Analytics and Optimization for Decision Support

Wolfgang Bein, Stefan Pickl, Fei Tao
2019 Business & Information Systems Engineering  
for their help in finalizing this special issue.  ...  We would like to express our gratitude to the authors for their contributions, the referees for ensuring the quality of the accepted papers, and the staff of the Editorial Office and Production Department  ...  It also has a lot to do with empathy, emotionality and social intelligence, which largely elude measurability… a new field of intelligence analysis will emerge.  ... 
doi:10.1007/s12599-019-00591-6 fatcat:sziqj7iqb5g7tpy5jttkh56sxi

Survey Big Data Analytics, Applications and Privacy Concerns

Ganesh D. Puri, D. Haritha
2016 Indian Journal of Science and Technology  
Advancements in the big data analytics methods have posed different challenges in front of user.  ...  Background/Objectives: The sources of big data are social media, enterprise data, unstructured data, sensor and clickstream data.  ...  The definitions for big data are leveraging on the ability of business intelligence, competitive intelligence, enhanced insight and decision making.  ... 
doi:10.17485/ijst/2016/v9i17/93028 fatcat:rxubq63bwzhbtka4cfzbgrtc7u

Big data reduction framework for value creation in sustainable enterprises

Muhammad Habib ur Rehman, Victor Chang, Aisha Batool, Teh Ying Wah
2016 International Journal of Information Management  
We also propose a framework for early data reduction at customer end and present a business model for end-toend data reduction in enterprise applications.  ...  The article further presents a business model canvas and maps the future application areas with its nine components.  ...  For example, enterprises collect social media data streams such as that provided by Twitter, Facebook, and YouTube.  ... 
doi:10.1016/j.ijinfomgt.2016.05.013 fatcat:4a44xeyb4rfkbf4pxbizijdjty

Role of Big Data in Decision Making

Shirish Jeble, Sneha Kumari, Yogesh Patil
2018 Operations and Supply Chain Management An International Journal  
He has over five years of experience of PG teaching and research experience in the area of operations management, supply chain management, lean, information technology and business analytics.  ...  Here we explore how big data can be used to make smart and real-time decisions for improving business results.  ...  These support decisions making process for business executives with the help of social media data, competitive intelligence, cost and time reduction strategies, supply chain analytics, web analytics etc  ... 
doi:10.31387/oscm0300198 fatcat:47cqlmhttnczzb52xv4dym7dvm

Social Media Analytics as a Business Intelligence Practice:Current Landscape & Future Prospects

Umar Ruhi
2014 Journal of Internet Social Networking and Virtual Communities  
Social Media Analytics As a Business Intelligence Practice For the purposes of this paper, we adopt a business intelligence (BI) perspective of social media analytics.  ...  for utilizing various social media measurements, and in creating an effective implementation strategy for delivering social media analytics as part of day-to-day business intelligence.  ... 
doi:10.5171/2014.920553 fatcat:sgw7635ckrbj7fhm5deqlrrgwe
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