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Supporting OLAP-Based Big Data Analytics over Data-Intensive Business Processes: Issues, Models, Proposals, and a Real-Life Framework

Alfredo Cuzzocrea
2018 International Conference on Information and Knowledge Management  
The paper explores issues, models and proposals in the field, and finally provides the architecture of a real-life framework that supports big data analytics over data-intensive business processes via  ...  This paper focuses the attention on the problem of supporting big data analytics over socalled data-intensive business processes, i.e. business processes connected to big data sources.  ...  Acknowledgments This research has been developed in the context of the MISE Horizon 2020 -PON 2014/2020 project: "REMS.PA (Resource in Engineering Management for Software process automation in Public Administration  ... 
dblp:conf/cikm/Cuzzocrea18 fatcat:e2luxh4nuvfwxadja6ozdndxty

Review on Big Data & Analytics – Concepts, Philosophy, Process and Applications

Kari Venkatram, Mary A. Geetha
2017 Cybernetics and Information Technologies  
technologies, frameworks, methods and models to exploit the value of Big Data analytics.  ...  Big Data analytics enables business to take proactive measure and create a competitive edge in their industry by highlighting the business insights from the past data and trends.  ...  Wang and others for real time analytics using hybrid-stream a Big Data analytics model [56] .  ... 
doi:10.1515/cait-2017-0013 fatcat:d2vxupastne6npsnotdwaeyhny

Internet of Things Enabled Policing Processes [article]

Francesco Schiliro
2019 arXiv   pre-print
This includes harnessing real-time intelligence to improve risk-based decision making and supporting adaptive processes from core to edge.  ...  We present a scalable and extensible IoT-enabled process data analytics pipeline to enable analysts ingest data from IoT devices, extract knowledge from this data and link them to process execution data  ...  The state-ofthe-art in process data analytics focus on various topics such as Warehousing Business Process Data [37] , Data Services and DataSpaces [38] , Supporting Big Data Analytics Over Process Execution  ... 
arXiv:1908.09232v1 fatcat:n3k6bfstpjhavfowie7zy7la4u

Semantic Business Process Management: Scaling Up the Management of Business Processes

Carlos Pedrinaci, John Domingue, Christian Brelage, Tammo van Lessen, Dimka Karastoyanova, Frank Leymann
2008 2008 IEEE International Conference on Semantic Computing  
Business Process Management (BPM) aims at supporting the whole life-cycle necessary to deploy and maintain business processes in organisations.  ...  Despite its success however, BPM suffers from a lack of automation that would support a smooth transition between the business world and the IT world.  ...  Once a Data Warehouse has been built and populated, Online Analytical Processing (OLAP) and Data Mining tools enable sophisticated data analysis that can help business analysts understand their businesses  ... 
doi:10.1109/icsc.2008.84 dblp:conf/semco/PedrinaciDBLKL08 fatcat:arvdfddb3rcptj7xdwafvtyz4a

Evolution Paths for Knowledge Discovery and Data Mining Process Models

Anna Rotondo, Fergus Quilligan
2020 SN Computer Science  
Data mining process models then become fundamental means to support analytics project management and minimise the risk of data dredging.  ...  In this paper, Knowledge Discovery and Data Mining process models are reviewed starting from the most popular models currently in use.  ...  This shows the practical equivalence of terms such as framework and process model within a business and industrial data analytics context.  ... 
doi:10.1007/s42979-020-0117-6 fatcat:cz77cevwazed3ojqlecosy3khy

Seven Paradoxes of Business Process Management in a Hyper-Connected World

Daniel Beverungen, Joos C. A. M. Buijs, Jörg Becker, Claudio Di Ciccio, Wil M. P. van der Aalst, Christian Bartelheimer, Jan vom Brocke, Marco Comuzzi, Karsten Kraume, Henrik Leopold, Martin Matzner, Jan Mendling (+12 others)
2020 Business & Information Systems Engineering  
Business Process Management is a boundaryspanning discipline that aligns operational capabilities and technology to design and manage business processes.  ...  The emergence of this hyper-connected world greatly leverages the prospects of business processes -but also boosts their complexity to a new level.  ...  as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.  ... 
doi:10.1007/s12599-020-00646-z fatcat:gnq3csyumzeqlgs2xlpkhocn24

Web Application Commercial Design for Financial Entities Based on Business Intelligence

Carlos, r閟 Tavera Romero, Jesus Hamilton Ortiz, Osamah Ibrahim Khalaf, rea R韔s Prado
2021 Computers Materials & Continua  
A design to build a web application aimed at achieving a large and ambitious goal by means of defined tools reflecting clients' business needs is proposed.  ...  We present a design of a commercial web application based on business intelligence that generates information on social and financial behavior of clients in an organization; with the purpose of obtain  ...  These techniques and models were discussed in a study on the comparison and evaluation of cloud processing models in cloud-based networks, and the advantages and disadvantages of this digital life were  ... 
doi:10.32604/cmc.2021.014738 fatcat:zxo7v32qirhhtl7wdask26o7va

Long Lived Transaction Processing for Business Processes and Scientific Workflows

João Eduardo Ferreira, Luciano V. Araújo, Kelly Rosa Braghetto, Isabel Cristina Italiano, Marcio K. Oikawa, Pedro Losco Takecian
2012 Journal of Information and Data Management  
for data warehouse systems; automation of clinical and molecular data processing; and formal modeling of business processes aiming qualitative and quantitative analyses.  ...  Process-oriented systems such as scientific workflows and business processes can be designed and implemented based on advanced transaction models or other formal models for concurrent distributed systems  ...  A data warehouse summarizes the data that are organized in dimensions, making them available for searches and analyses through On-Line Analytical Processing (OLAP) applications and decision support systems  ... 
dblp:journals/jidm/FerreiraABIOT12 fatcat:pp3cqn6fj5azfl3ngi4pyyymwy

An Analytics Environment Architecture for Industrial Cyber-Physical Systems Big Data Solutions

Eduardo A. Hinojosa-Palafox, Oscar M. Rodríguez-Elías, José A. Hoyo-Montaño, Jesús H. Pacheco-Ramírez, José M. Nieto-Jalil
2021 Sensors  
An architectural design reference for a Big Data analytics architecture is proposed.  ...  The goal of this paper is to support the design of analytics Big Data solutions for iCPS for the modeling of data elements, predictive analysis, inference of the key performance indicators, and real-time  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21134282 pmid:34201541 fatcat:vmoo3gfvd5ay5mlysrz6kdfwwa

Design science research contribution to business intelligence in the cloud — A systematic literature review

Odette Sangupamba Mwilu, Isabelle Comyn-Wattiau, Nicolas Prat
2016 Future generations computer systems  
Business intelligence (BI) helps managers make informed decisions. In the age of big data, BI technology provides essential support for decision making.  ...  To structure the literature review, we propose a framework composed of two dimensions: artifact type and BI step.  ...  In [51] Cao et al. proposed an architecture of a system able to support both data-intensive analytical operations (OLAP) and online transactions (OLTP).  ... 
doi:10.1016/j.future.2015.11.014 fatcat:fb7goebcozei3ebkvu4wmcgxoi

Big Data Analytics and Processing Platform in Czech Republic Healthcare

Martin Štufi, Boris Bačić, Leonid Stoimenov
2020 Applied Sciences  
Big data analytics (BDA) in healthcare has made a positive difference in the integration of Artificial Intelligence (AI) in advancements of analytical capabilities, while lowering the costs of medical  ...  The aim of this study is to improve the existing healthcare eSystem by implementing a Big Data Analytics (BDA) platform and to meet the requirements of the Czech Republic National Health Service (Tender-Id  ...  The MDM component utilises Online Analytical Processing (OLAP) operations over a multidimensional data model.  ... 
doi:10.3390/app10051705 fatcat:mogab2rkq5bnvpsow3cqjtrxqq

Spatial Datawarehousing [chapter]

Alejandro A. Vaisman, Esteban Zimányi
2017 Encyclopedia of Database Systems  
to be written] Contents 1 Motivation and Goals of the Workshop 1 Research in data warehousing and Online Analytical Processing (OLAP) has produced important technologies for the design, management, and  ...  However, much less is known about how to integrate the Web data represented by these models with more conventional corporate data to enable OLAP-style decision-support.  ...  A number of models for data warehousing and a number of operations for OLAP have been proposed and formally defined in the literature.  ... 
doi:10.1007/978-1-4899-7993-3_80810-1 fatcat:7yo63qvmhfadzn5vwn2x7bizku

A Conceptual Framework for Assessing an Organization's Readiness to Adopt Big Data

Celina Olszak, Maria Mach-Król
2018 Sustainability  
The main aim of this paper is to provide a theoretically and empirically grounded discussion on big data and to propose a conceptual framework for big data based on a temporal dimension.  ...  The proposed framework has been built over a time dimension as a fundamental internal structure with the goal of providing a complete means for assessing an organization's readiness to process the temporal  ...  The main aim of this study is to investigate the issue of big data and to propose a conceptual framework for big data based on the temporal dimension.  ... 
doi:10.3390/su10103734 fatcat:mnisyoytnban7lanrvjliitneq

A Framework for Big Data Analytical Process and Mapping—BAProM: Description of an Application in an Industrial Environment

Giovanni Gravito de Carvalho Chrysostomo, Marco Vinicius Bhering de Aguiar Vallim, Leilton Santos da Silva, Leandro A. Silva, Arnaldo Rabello de Aguiar Vallim Filho
2020 Energies  
The framework was conceived as a decision support tool for industrial business, encompassing the whole big data analytical process.  ...  This paper presents an application of a framework for Big Data Analytical Process and Mapping—BAProM—consisting of four modules: Process Mapping, Data Management, Data Analysis, and Predictive Modeling  ...  Acknowledgments: We thank all the EMAE staff who participated in the R&D project "EMAE-ANEEL-P&D 00393-0008/2017", and all the faculty and student members of the BigMAAp research lab at Mackenzie Presbyterian  ... 
doi:10.3390/en13226014 fatcat:loxougpimffjdmxw555d6xdyii

Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science

Silvia Chiusano, Tania Cerquitelli, Robert Wrembel, Daniele Quercia
2020 Information Systems Frontiers  
First of all, we appreciate the effort of all the authors who were attracted by the topics of the special issue and submitted a scientific contribution.  ...  Ram Ramesh and Prof. H. Raghav Rao, for their professional and precious support and to the Springer staff, in particular to Kristine Kay Canaleja and Aila O. Asejo-Nuique for their timely work.  ...  big data into formats suitable for OLAP processing and machine learning algorithms.  ... 
doi:10.1007/s10796-020-10091-8 fatcat:bj576ocpnvcgji6bjvjtujcq74
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