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Proactive data quality management for data warehouse systems
2002
Design and Management of Data Warehouses
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The following article describes an approach for managing data quality in data warehouse systems through a metadata based data quality system. ...
Many data warehouse projects are discontinued due to insufficient data quality [HEL00]. ...
The system establishes, as one of the key components for proactive data quality management, the foundation for ensuring high level data quality in data warehouse systems. ...
dblp:conf/dmdw/HelfertH02
fatcat:rik66j4r2rc25edarhkuuiy3ou
Data Quality Problems in TPC-DI Based Data Integration Processes
[chapter]
2018
Lecture Notes in Business Information Processing
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Furthermore, in order to prevent data quality problems and proactively manage data quality, we propose a set of practical guidelines for researchers and practitioners to conduct data quality management ...
A data integration system is an essential component to collect data into a data warehouse or other data analytics systems. ...
This publication is supported by the Science Foundation Ireland grant SFI/12/RC/2289 to Insight Centre for Data Analytics (www.insight-centre.org). ...
doi:10.1007/978-3-319-93375-7_4
fatcat:3ulale2t5rdend45fjkv362ci4
An Empirical Investigation of the Impact of Data Quality and its Antecedents on Data Warehousing
2005
Americas Conference on Information Systems
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This paper reviews system success and data quality literature and proposes a new model for data warehousing success. ...
Wixom and Watson (2001) conducted an empirical study examining the antecedents to data and system quality to data warehousing success, but found no statistically significant support for the data quality ...
Finally, t-tests will be conducted to test for potential confounding variables, such as time since the data warehouse was implemented, size of organization, etc. ...
dblp:conf/amcis/BeebeW05
fatcat:akwnkztn4veapfr445tfit5klu
Guildlines of Data Quality Issues for Data Integration in the Context of the TPC-DI Benchmark
2017
Proceedings of the 19th International Conference on Enterprise Information Systems
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ACKNOWLEDGMENTS This publication was supported by Science Foundation Ireland grant SFI/12/RC/2289 to Insight-Centre for Data Analytics (www.insight-centre.org). ...
GUIDELINES FOR DATA QUALITY MANAGEMENT In order to prevent the data quality problems in ETL and proactively manage data quality, we propose the following guidelines to help researchers and practitioners ...
Data integration systems manipulate and examine data streams to avoid rubbish data in for a data warehouse and rubbish out for decision-making or presentation systems. ...
doi:10.5220/0006334301350144
dblp:conf/iceis/YangGH17
fatcat:wyqsdu6swjc5foodhhaks5jf4i
Data Quality in Data warehouse: problems and solution
2014
IOSR Journal of Computer Engineering
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the problems of quality issues, then we can develop a plan of action to address the problem that is both proactive and strategic. ...
In recent years, corporate scandals, regulatory changes, and the collapse of major financial institutions have brought much warranted attention to the quality of enterprise data if we can better understand ...
Managers across the organization accept personal responsibility for data quality. ...
doi:10.9790/0661-16141824
fatcat:lbgiqjxeujhl5gguktsz2hh7pq
Proactive Approach to Manufacturing Planning
2014
Kvalita Inovácia Prosperita
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The concept of proactive production planning with support of data technologies requires a high-quality database platform with an integration of techniques for data mining. ...
Design of final proactive plan is possible to be set by expert system, whose knowledge base acquires knowledge gained by data mining (DM) from the data warehouse (DW), to which access is controlled via ...
doi:10.12776/qip.v18i1.208
fatcat:ppi74odojjfitaym2bsk4aex2u
INTELLIGENCE TECHNOLOGIES IN LOGISTIC INFRASTRUCTURE MODERNISATION
2021
Economics & Education
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management processes based on artificial intelligence. ...
forms of piece intelligence - multi-competent knowledge in the areas of IT technologies, procurement and warehouse, transport, production and distribution logistics, mathematical analysis, and production ...
Conclusions AI-based expert systems have already proven their ability to improve the productivity and quality of logistics operations, transform data and information into useful knowledge, find and share ...
doi:10.30525/2500-946x/2021-1-3
fatcat:4jhksmc2evftvd2razfw2auyli
An Implementation Of "Decision Maker For Educational Domain
2016
Zenodo
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Utilizing a decision support system is a proactive way to use data to manage, operate, and evaluate educational institute in a better way. ...
The data mining from data warehouse can be a ready and effective system for the decision makers. ...
By applying data mining on data warehouse is a proactive way to use data to manage, operate, and evaluate educational institute in a better way. ...
doi:10.5281/zenodo.51445
fatcat:e2yxe4vchza3pepetswxddpfsu
Design, Implementation, and Assessment of Innovative Data Warehousing; Extract, Transformation, and Load(ETL); and Online Analytical Processing(OLAP) on BI
2020
International Journal of Database Management Systems
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The effectiveness of a Business Intelligence System is hugely dependent on these three fundamental components, 1) Data Acquisition (ETL), 2) Data Storage (Data Warehouse), and 3) Data Analytics (OLAP ) ...
There is no comprehensive documentation that talks about guidelines for ETL, Data Warehouse and OLAP to include the recent trends such as Data Latency (to provide real-time data), BI flexibility (to accommodate ...
ASSESSMENT METHODOLOGY FOR ETL, DW, AND OLAP Data Quality, System Quality, User Experience, and Cost-Efficiency characterizes an assessment model for ETL, DW, and OLAP. ...
doi:10.5121/ijdms.2020.12301
fatcat:ztaew4ehmrfzldrfwcktx64rce
Integration of Information Systems for Predictive Workforce Analytics: Models, Synergy, Security of Entrepreneurship
2020
European Journal of Sustainable Development
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Keywords: Workforce Analytics (WFA), Human Capital Management (HCM), Predictive Analytics, Proactive Management, BI, Information Systems (IS), Integration, Security of Entrepreneurship ...
the effective management of all spectrum of risks associated with the collection, storage and use of data. ...
Вusiness Іntelligence
(Business Warehouse)
Data
Target maps, data source,
specialty warehouse
Measuring data quality The data model basis (private
data warehouse, a standard
business warehouse ...
doi:10.14207/ejsd.2020.v9n1p83
fatcat:7chsraernndf5hi4adnfnmqhi4
A middleware approach for high level overlay network
2012
IOSR Journal of Computer Engineering
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Resource management is performed by a multi-agent based layer. Knowledge exchange between the monitoring and management layers is mediated by a data warehouse. ...
In network management middle wares are required to enhance reliability and efficiency of distributed systems. ...
The proposed model aims at increasing the reliability and efficiency of distributed systems by mean of proactive and reactive management. ...
doi:10.9790/0661-0363638
fatcat:gz3nm5re2fejrcrf44fmbnu2gm
Proactive approach to smart maintenance and logistics as a auxiliary and service processes in a company
2016
Istrazivanja i projektovanja za privredu
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For its successful implementation it is necessary to introduce appropriate management practices also into the area of maintenance. ...
Irrespective of the level of maintenance work in a particular organization, gradual development of maintenance management is needed. The goal is excellent quality of equipment maintenance. ...
An insufficient quality of data also becomes a problem. ...
doi:10.5937/jaes14-11664
fatcat:nuigyg2ll5bc7jolbhvywkudj4
Data Quality Management For Data Warehouse Systems: State Of The Art
2019
National Study Day on Research on Computer Sciences
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This paper will include two important points: (1) a survey of the existing approaches in the literature for managing data quality in the traditional data warehouse systems, (2) a survey about the existing ...
During the last years, Data Warehouse (DW) systems have been considered as the most effective tool for decision support making. ...
A meta-data based Data Quality system for managing Data Quality in data warehouses was proposed in [8] , the authors started the paper by mentioning the important of total quality management (TQM) inside ...
dblp:conf/jeri/BenkhaledB19
fatcat:vlfbsrttzjbivp3ait5rny2vgu
Implementing Warehouse Management Systems in Logistics: A Case Study
2019
Zenodo
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As we see the technological developments evolve in the recent arena, it is contributing to Warehouse Management Systems (WMS) Implementations implementation as well in the Logistics industry. ...
WAREHOUSE
MANAGEMENT
SYSTEMS IMPLEMENTATIONS
The logistics businesses implement the
Warehouse Management Systems for
process efficiency, improvement and
transparency. ...
One of the most
proactive ways of doing so is the use of a
warehouse management system (WMS)
that is designed to speed up order
turnaround time, improve inventory
accuracy, provide instant order ...
doi:10.5281/zenodo.2576011
fatcat:o4yqbyzryngnla24lhpzmzohs4
Geographic information systems in warehouse site selection decisions
2001
International Journal of Production Economics
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A geographic information system-aided process to the warehouse site selection decision is presented and the use of the presented process is demonstrated with a practical example. ...
The warehouse site selection decision is not merely the question of choosing sites. ...
Georgraphic decision support system for warehouse location evaluation The warehouse site selection decision is a! ...
doi:10.1016/s0925-5273(00)00119-5
fatcat:biesaf5xffaidhm7zl6bf6nzhi
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