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A Review on Intelligent Process Automation

Yuvaraja Devarajan
2019 International Journal of Computer Applications  
Intelligent process automation would in turn drive evolution of new businesses technology trends, strategies, practices and its critical for businesses to adapt & optimize their business processes to work  ...  NLG can augment RPA requirements that involve processing data sets to generate content for user.  ... 
doi:10.5120/ijca2019918374 fatcat:kq7q6vzw5naadiw3wrloh23gxa

The application of big data analytics in optimizing logistics: a developmental perspective review

Zengwen Yan, Hossam Ismail, Lujie Chen, Xiande Zhao, Liang Wang
2019 Journal of Data, Information and Management  
This paper adopts a developmental perspective to review articles and reports published in the past decade on the application of big data to the optimization of logistics.  ...  This is followed by discussions on the implementation of big data in logistics and the optimization outcomes.  ...  It is expected that the next generation of information technologies, such as big data analytics, cloud computing and the Internet of Things, will enter a mature period over the next five to ten years,  ... 
doi:10.1007/s42488-019-00003-0 fatcat:j2symqjirndebgzjijqxdl4e5m

A Review on Data Analytics for Supply Chain Management: A Case study

Anitha P, Malini M. Patil
2018 International Journal of Information Engineering and Electronic Business  
The present work aims at providing an overview of adoption of capabilities of Data Analytics as part of a "next generation" architecture by developing a linear regression model on a sales-data.  ...  Because of the price, weather patterns, economic volatility and complex nature of business, the forecasts may not be accurate. This has resulted in the growth of Supply chain analytics.  ...  ACKNOWLEDGEMENT The authors extend their gratitude to their organization JSS Academy of Technical Education, Bengaluru, for the facilities provided in order to carry out the research work.  ... 
doi:10.5815/ijieeb.2018.05.05 fatcat:jtuqtdxsfzgq3ibri3usm76jfq

THE ROLE OF BUSINESS INTELLIGENCE IN BUSINESS PERFORMANCE MANAGEMENT

Babeanu Delia, Albescu Felicia, Pugna Irina Bogdana
2009 Annals of the University of Oradea: Economic Science  
Business performance management (BPM) is a key business initiative that enables companies to align strategic and operational objectives with business activities in order to fully manage performance through  ...  Tactical analysis is based on analytic applications, reporting and OLAP tools delivering analytics based on summary and detailed data stored in data marts and data warehouses.  ...  Business intelligence and business performance management Business performance management (BPM) can be considered as being the final component of business intelligence -the next phase in the evolution  ... 
doaj:57ad4a8bbf0e4a0c9116f3842999bc11 fatcat:2zrrm5kfkvbdnnytdo2ermsmaa

Make logistics smarter: using big data

Mohamed Ali V M
2016 Journal of management and science  
ICT are now a days generating a rate that doubles the data every two years.  ...  Information and Communication Technology (ICT) has been providing effective and efficient path for the enhancement of each every business.  ...  Benefits of data warehouse for logistics providers include: Access data from multiple sources Business intelligence Enhanced query ability/data mining Timely access to data Improved data quality and consistency  ... 
doi:10.26524/jms.2016.34 fatcat:chiamr7eijdwnhjkgy6xvvdvma

A Unified View of Data-Intensive Flows in Business Intelligence Systems: A Survey [chapter]

Petar Jovanovic, Oscar Romero, Alberto Abelló
2016 Lecture Notes in Computer Science  
Data-intensive flows are central processes in today's business intelligence (BI) systems, deploying different technologies to deliver data, from a multitude of data sources, in user-preferred and analysisready  ...  The study is based on a proposed set of dimensions describing the important challenges of data-intensive flows in the next generation BI setting.  ...  This work has been partially supported by the Secreteria d'Universitats i Recerca de la Generalitat de Catalunya under 2014 SGR 1534, and by the Spanish Ministry of Education grant FPU12/04915.  ... 
doi:10.1007/978-3-662-54037-4_3 fatcat:il3vwhf22rhzvmimjybvfa5npe

Machine Learning:The Panaceafor 5G Complexities

N. Hari Kumar, Sandhya Baskaran, Senior Researcher, Ericsson Research, India, Researcher, Ericsson Research, India
2019 Journal of ICT Standardization  
It's not a myth that transition in next generation technology brings with it a set of exciting applications as well as challenges to the telecom ecosystem and in-turn paves way for new revenue streams.  ...  5G enables ultra-high data rates, exceptional low latencies which enables the telecom operator for the facilitation of interesting parallels like IoT and Next-Gen Industrial enhancements like autonomous  ...  We are also grateful to Göran Eriksson AP for assistance with packet core who moderated this paper and, in that line, improved the manuscript significantly.  ... 
doi:10.13052/jicts2245-800x.726 fatcat:rdjn5mad4vgkhfoc6wq7ttapjq

Machine Learning:The Panaceafor 5G Complexities

N. Hari Kumar, Sandhya Baskaran
2019 Journal of ICT Standardization  
It's not a myth that transition in next generation technology brings with it a set of exciting applications as well as challenges to the telecom ecosystem and in-turn paves way for new revenue streams.  ...  5G enables ultra-high data rates, exceptional low latencies which enables the telecom operator for the facilitation of interesting parallels like IoT and Next-Gen Industrial enhancements like autonomous  ...  We are also grateful to Göran Eriksson AP for assistance with packet core who moderated this paper and, in that line, improved the manuscript significantly.  ... 
doi:10.13052/jicts2245-800x.7236 fatcat:52utyononvf5hnici3j4kymuwi

The Business Intelligence Based Business Process Management Challenge

Oliver KOPF, Daniel HOMOCIANU
2016 Informatică economică  
The present paper is trying to bring some solid arguments concerning the common part, the relation and a few limitations when trying to bring together two recent fields of interest, namely Business Intelligence  ...  with different kinds of technologies and tools with many applications in these fields.  ...  Acknowledgement This paper was funded by the Department of Research of the Faculty of Economics and Business Administration from the "Alexandru Ioan Cuza" University of Iasi.  ... 
doi:10.12948/issn14531305/20.1.2016.01 fatcat:5cg7fhndrrhabox2jagraxph4m

COVID-19: Optimizing Business Performance through Agile Business Intelligence and Data Analytics

Andy Ohemeng Asare, Price Clement Addo, Eric Ohemeng Sarpong, Daniel Kotei
2020 Open Journal of Business and Management  
To address these changes quickly, companies need to adopt or capitalize on their business intelligence strategies through agile risk management, artificial intelligence systems, and data analytics to help  ...  to survive and stay competitive during these challenging times by leveraging agile dimensions, artificial intelligence systems, and data analytics.  ...  Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper.  ... 
doi:10.4236/ojbm.2020.85126 fatcat:mhk5v3hrwza5rniztesvtwvaiq

Characteristics of In-Memory Business Intelligence

Mihaela-Laura IVAN
2014 Informatică economică  
Also, the paper highlights that Inmemory Business Intelligence is powerful than data warehouse and Online Analytical Processing projects.  ...  Business Intelligence (BI) is an important key in the initiatives of many organizations.  ...  SAP FIORI is an application developed using SAP HANA and SAP UI5. [10] The real-time data platform from SAP is the next generation database.  ... 
doi:10.12948/issn14531305/18.3.2014.02 fatcat:fbwl2tpkqjdlfazw6r6pxrf4nm

Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications

Michael Kaufmann, Tobias Eljasik-Swoboda, Christian Nawroth, Kevin Berwind, Marco Bornschlegl, Matthias Hemmje
2017 Proceedings of the 6th International Conference on Data Science, Technology and Applications  
Similar to the business model canvas for marketing management, the big data management (BDM) canvas is a template for developing new (or mapping existing) big data applications, strategies and projects  ...  It subdivides this task into meaningful fields of action. The BDM canvas provides a visual chart that can be used in workshops iteratively to develop strategies for generating value from data.  ...  However, the other direction is at least as important: The application of intelligence to generate new big data applications.  ... 
doi:10.5220/0006397101490156 dblp:conf/data/0004ENBBH17 fatcat:3x52atsllrb2pcpctva5es372e

Next Generation Business Intelligence and Analytics: A Survey [article]

Quoc Duy Vo, Jaya Thomas, Shinyoung Cho, Pradipta De, Bong Jun Choi, Lee Sael
2017 arXiv   pre-print
The survey provides a holistic view of Business Intelligence and Analytics for anyone interested in getting a complete picture of the different pieces in the emerging next generation BI\&A solutions.  ...  Business Intelligence and Analytics (BI&A) is the process of extracting and predicting business-critical insights from data.  ...  III Specification of Data Governance Model for Next Generation BI  ... 
arXiv:1704.03402v1 fatcat:u4taz2phbzgknm5bpgxazq7y2e

Affinity Clusters for Business Process Intelligence

Rajeev Kaula
2018 International Journal of Database Management Systems  
Business process intelligence improves operational efficiency that is essential for achieving business objectives, besides facilitating competitive advantage.  ...  As an organization is a collection of business processes, enhancing business process performance on a continual basis is essential for organizational success.  ...  INTRODUCTION Business process intelligence is an application of business intelligence (BI) concepts for business operations.  ... 
doi:10.5121/ijdms.2018.10501 fatcat:i3xsp32hpnafxgyotgpojl4ps4

Data science and AI in FinTech: An overview [article]

Longbing Cao, Qiang Yang, Philip S. Yu
2021 arXiv   pre-print
processing, augmentation, optimization, and system intelligence enhancement.  ...  Smart FinTech synthesizes broad DSAI and transforms finance and economies to drive intelligent, automated, whole-of-business and personalized economic and financial businesses, services and systems.  ...  In a more general context, such whole-of-business and privacypreserving federated FinTech and intelligent EcoFin businesses is able to -connect all users, systems, organizations and data through heterogeneous  ... 
arXiv:2007.12681v2 fatcat:jntzuwaktjg2hmmjypi5lvyht4
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