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Defect Analytics: OLAP for Delivery Excellence

Suhas Mallya, Vidya Rao
2009 International Conference on Management of Data  
Defect Analytics uses OLAP on a defects repository to produce actionable insights that cannot be obtained from the standard reports generated through a defect tracking system.  ...  In this paper, we develop the idea of Defect Analytics and present examples to illustrate its significance along with some initial work we have done to translate these concepts into a tool.  ...  (Data Warehousing, OLAP) in an even-more established process (defect logging and tracking).  ... 
dblp:conf/comad/MallyaR09 fatcat:4l3chte3ovgq3j2uhrtb6doybi

Reducing defects in IT service delivery

Anshu Jain, Srikanth Tamilselvam, Bikram Sengupta, Krishna Kummamuru
2013 Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics  
In IT Service Delivery organizations, Quality Analysts (QAs) are responsible for analyzing sets of service tickets to detect exceptional trends, launch investigations and identify and remove defects in  ...  be triggered to reduce defects.  ...  For some of the other key analytics requiring manipulation on text attributes, the capability might not even be there in Excel, or require inordinately long time and manual effort -for example, assigning  ... 
doi:10.1109/soli.2013.6611373 fatcat:thnmp23dcfgxhnfwp2o6oomtgm

An Improvement in Defect Detection Efficiency -A Review

Supriya V. Sullad, A. Pauline
2016 Indian Journal of Science and Technology  
In memory analytics can be employed for Defect classification. This method provides effectiveness of defect classification and rates defect as low, high and medium.  ...  Methods and Statistical Analysis:-Agile methodology, with In-memory analytics is employed to improve the effectiveness of defect detection efficiency.  ...  This analytics provides analysis of the defect and also rate the defects. Hence provide excellent decision for the Designer to speed up in identifying the defect and rectify it.  ... 
doi:10.17485/ijst/2016/v9i45/106490 fatcat:2e7rkfetdbf7foeebc6meuezfq

A knowledge‐based system to support procurement decision

H.C.W. Lau, A. Ning, K.F. Pun, K.S. Chin, W.H. Ip, Eric Tsui
2005 Journal of Knowledge Management  
Design/methodology/approach -The proposed system encompasses hybrid artificial intelligence (AI) technologies, Online analytical processing (OLAP) applications and neural networks.  ...  Recognizes the void of research in the infrastructure of the hybrid AI technologies for knowledge discovery.  ...  The OLAP module evaluates the vendor based on six assessment factors: (1) Product type. (2) Product methodology. (3) Materials. (4) Production cost. (5) Delivery time. (6) Defect rate.  ... 
doi:10.1108/13673270510582983 fatcat:vvdqsicsbraynotubu7l5s625y

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  ...  Therefore, a significant amount of fault monitoring through log data, if available, can provide excellent information for data-based diagnostics.  ... 
doi:10.3390/s21134282 pmid:34201541 fatcat:vmoo3gfvd5ay5mlysrz6kdfwwa

Big Data Analytics and Its Applications in Supply Chain Management [chapter]

Saeid Sadeghi Darvazeh, Iman Raeesi Vanani, Farzaneh Mansouri Musolu
2020 New Trends in the Use of Artificial Intelligence for the Industry 4.0  
BDA provides a tool for extracting valuable patterns and information in large volume of data.  ...  Big data analytics capability (BDA) is one of the best techniques, which can help organizations to overcome their problem.  ...  processing (OLAP) system are used and supported by reporting technology (e.g.  ... 
doi:10.5772/intechopen.89426 fatcat:e6vsgfegfrd7redxplv54ofdku

The Art of Data Science and Big Data Analytics: Inspecting and Transforming Data

Akella Subhadra
2020 Asian Journal of Managerial Science  
challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for  ...  and its characteristics , data structures, data analytics life cycle, emphasizes critical points on these issues.  ...  Implicit analytics focuses on deep analytics, typically by predictive modeling, optimization, prescriptive analytics, and actionable knowledge delivery.  ... 
doi:10.51983/ajes-2020.9.1.2374 fatcat:254ckl32lfdw7aohkdswec7r3i

The Art of Data Science and Big Data Analytics: Inspecting and Transforming Data

Akella Subhadra
2020 Asian Journal of Computer Science and Technology  
challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for  ...  and its characteristics , data structures, data analytics life cycle, emphasizes critical points on these issues.  ...  Implicit analytics focuses on deep analytics, typically by predictive modeling, optimization, prescriptive analytics, and actionable knowledge delivery.  ... 
doi:10.51983/ajcst-2020.9.1.2151 fatcat:yo2t2u5ohfbetivgqkjm4kwqbu

The role of reverse logistics in the transition to a circular economy: Case study of automotive spare parts logistics
Uloga obrnute logistike kod prelaska na cirkularnu ekonomiju - studija slučaja logistike rezervnih automobilskih delova

I. Makarova, K. Shubenkova, P. Buyvol, Vladimir Shepelev, A. Gritsenko
2021 FME Transaction  
For this purpose, an information system was developed.  ...  conditions and vehicle subsystems, were introduced for the first time.  ...  For implementation of OLAP cube the hybrid option has been chosen. Hybrid OLAP is a combination of both ROLAP (Relational OLAP) and MOLAP (Multidimensional OLAP).  ... 
doi:10.5937/fme2101173m fatcat:2hsn5vykpragxbqriy3pc2utnu

Business Analytics in the Context of Big Data: A Roadmap for Research

Gloria Phillips-Wren, Lakshmi S. Iyer, Uday Kulkarni, Thilini Ariyachandra
2015 Communications of the Association for Information Systems  
We bridge the gap between academic and practitioner research by presenting a big data analytics framework that depicts a process view of the components needed for big data analytics in organizations.  ...  Recognizing the potential of "big data" to offer new insights for decision making and innovation, panelists at the two events discussed how organizations can use and manage big data for competitive advantage  ...  In his tutorial on big data analytics, Watson (2014 Watson ( , p. 1264 states that some organizations are creating "analytics centers of excellence" for providing strategic direction for big data analytics  ... 
doi:10.17705/1cais.03723 fatcat:sxcf7lmw4raxrm4zzeuaogpmf4

THE NECESSITY OF INFORMATION QUALITY FOR EFFECTIVE BUSINESS INTELLIGENCE

P.J. Conradie, P.S. Kruger
2012 South African Journal of Industrial Engineering  
Some of the differences between OLTP (On-line transactional processing) and OLAP (On-line analytical processing) are given in Table 1 .  ...  Even though the same relational database technology can be used for both OLTP and OLAP systems by using different data model structures, some OLAP systems run on multidimensional database technology.  ... 
doi:10.7166/17-1-162 fatcat:wp64v2dhwjfofd37zjylbxgcvm

Business Intelligence and Big Data in Higher Education: Status of a Multi-Year Model Curriculum Development Effort for Business School Undergraduates, MS Graduates, and MBAs

Babita Gupta, Michael Goul, Barbara Dinter
2015 Communications of the Association for Information Systems  
It also addresses ethical issues in the management of customer data, enterprise-level support for experimentation-based innovation, and embedding analytics in business processes and managing enterprise  ...  The course reinforces the role of decision support for sound personal decision making strategies and for creating and maintaining an enterprise-level culture of evidence/fact-based decision making.  ...  ACKNOWLEDGMENTS We sincerely thank TUN's board and members for their support of this project as part of the TUN BI curriculum committee initiative.  ... 
doi:10.17705/1cais.03623 fatcat:gkiduqj5gra3pluhjo2jlorvgu

Development of a co-operative distributed process mining system for quality assurance

G. T. S. Ho, H. C. W. Lau, S. K. Kwok, C. K. M. Lee, W. Ho
2008 International Journal of Production Research  
This method incorporates the concept of data mining and knowledge refinement into decision making process for ensuring "doing the right things" within the workflow.  ...  In this paper, a co-operative distributed process mining system (CDPMS) is developed to streamline the workflow along the supply chain in order to offer shorter delivery times, more flexibility and higher  ...  Acknowledgements The authors wish to thank the Research Office of the Hong Kong Polytechnic University for the support of this research project.  ... 
doi:10.1080/00207540701441939 fatcat:fe6blm6nm5gypicamnqnofkgoa

Ten years of preanalytical monitoring and control: Synthetic Balanced Score Card Indicator

Maria Salinas, Maite López-Garrigós, Emilio Flores, Ana Santo-Quiles, Mercedes Gutierrez, Javier Lugo, Rose Lillo, Carlos Leiva-Salinas
2015 Biochemia Medica  
Preanalytical control and monitoring continue to be an important issue for clinical laboratory professionals.  ...  The aim of the study was to evaluate a monitoring system of preanalytical errors regarding not suitable samples for analysis, based on different indicators; to compare such indicators in different phlebotomy  ...  Acknowledgements The authors wish to thank all the laboratory staff, for its excellent delivery of laboratory services and special thanks to English teacher, Caroline Dale.  ... 
doi:10.11613/bm.2015.005 pmid:25672466 pmcid:PMC4401317 fatcat:xg4ja3kqlvfvrou2fnfja3ntdi

Intelligent tools and techniques for modern management

2009 Chinese Business Review  
Examples include decision support systems, executive information systems, online-analytical processing (OLAP), data warehouses and data mining systems.  ...  Therefore, the terms of the search vector representing technical metadata of an OLAP report (reference objects and ratios) can be selected for an initial definition of a new OLAP report.  ... 
doi:10.17265/1537-1506/2009.02.007 fatcat:gmreacga35davgqfeh36hnifs4
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