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Journal articles on the topic 'Enterprise Data Warehouse Projects'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Xu, B. Y., H. M. Cai, and C. Xie. "An Ontology Approach for Manufacturing Enterprise Data Warehouses Development." Advanced Materials Research 215 (March 2011): 77–82. http://dx.doi.org/10.4028/www.scientific.net/amr.215.77.

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Data warehouse (DW) is a powerful and useful technology for decision making in manufacturing enterprises. Because that the operational data often comes from distributed units for manufacturing enterprises, there exits an urgent need to study on the methods of integrating heterogonous data in data warehouse. In This paper, an ontology approach is proposed to eliminate data source heterogeneity. The approach is based on the exploitation of the application of domain ontology methods in data warehouse design, representing the semantic meanings of the data by ontology at database level and pushing

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Rahman, Nayem. "Lessons from a Successful Data Warehousing Project Management." International Journal of Information Technology Project Management 8, no. 4 (2017): 30–45. http://dx.doi.org/10.4018/ijitpm.2017100103.

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This article provides an overview of project management aspects of a data warehouse application implementation. More specifically, the article discusses the project's implementation, challenges faced, and lessons learned. The project was initiated with an objective to redesign the procurement data pipeline of a data warehouse. The data flows from enterprise resource planning (ERP) system to enterprise data warehouse (EDW) to reporting environments. This project was challenged to deliver more quickly to the consumers with improved report performance, and reduced total cost of ownership (TCO) in

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Papiernik, Daniel K., Dhruv Nanda, Robert O. Cassada, and William H. Morris. "Data Warehouse Strategy to Enable Performance Analysis." Transportation Research Record: Journal of the Transportation Research Board 1719, no. 1 (2000): 175–83. http://dx.doi.org/10.3141/1719-23.

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The Virginia Department of Transportation (VDOT) has engaged to implement an enterprise data warehouse as part of a strategic investment in its information technology (IT) infrastructure. Data warehousing provides an information architecture that serves as the enterprisewide source of data for performance analysis and organizational reporting. To assist VDOT in achieving its strategic outcome area objectives, a programming and scheduling (P&S) data mart is being developed to track preconstruction project activities. This data mart and subsequent data marts function as departmental decision

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Eschrich, Steven A., Jamie K. Teer, Phillip Reisman, et al. "Enabling Precision Medicine in Cancer Care Through a Molecular Data Warehouse: The Moffitt Experience." JCO Clinical Cancer Informatics, no. 5 (June 2021): 561–69. http://dx.doi.org/10.1200/cci.20.00175.

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PURPOSE The use of genomics within cancer research and clinical oncology practice has become commonplace. Efforts such as The Cancer Genome Atlas have characterized the cancer genome and suggested a wealth of targets for implementing precision medicine strategies for patients with cancer. The data produced from research studies and clinical care have many potential secondary uses beyond their originally intended purpose. Effective storage, query, retrieval, and visualization of these data are essential to create an infrastructure to enable new discoveries in cancer research. METHODS Moffitt Ca

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Hall, James P., Rob Robinson, and Mary Ann Paulis. "Enterprisewide Spatial Data Integration of Legacy Systems for Asset Management." Transportation Research Record: Journal of the Transportation Research Board 1917, no. 1 (2005): 11–17. http://dx.doi.org/10.1177/0361198105191700102.

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This paper describes the spatial information system infrastructure implemented by the Illinois Department of Transportation (IDOT) to enable delivery of information to management decision makers in asset management applications. This spatial data warehouse infrastructure makes extensive use of geographic information system (GIS) technologies to integrate information from a variety of database structures and formats. GIS products and tools have been developed to portray and analyze these data in useful combinations focused on practitioner needs. In June 1999 the Governmental Accounting Standard

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Incalcaterra, James, Alexis B. Guzman, Yu-Ting Huang, et al. "Assessing the cost of cancer care delivery using a time-driven, activity-based costing software." Journal of Clinical Oncology 34, no. 7_suppl (2016): 25. http://dx.doi.org/10.1200/jco.2016.34.7_suppl.25.

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25 Background: Poor costing systems and measurement have led to cross-subsidies and cost-shifting in health care. A large academic cancer center has adopted Robert Kaplan’s bottom-up cost accounting methodology called time-driven, activity-based costing (TDABC). TDABC in health care has been proven to be an effective cost accounting tool to measure and improve care delivery by standardizing and creating transparency around patient care processes. The project aims to process map and identify event triggers associated with each process map, use a software applications to compute the costs and re

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He, Wenjun, Katie G. Kirchoff, Royce R. Sampson, et al. "Research Integrated Network of Systems (RINS): a virtual data warehouse for the acceleration of translational research." Journal of the American Medical Informatics Association 28, no. 7 (2021): 1440–50. http://dx.doi.org/10.1093/jamia/ocab023.

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Abstract Objective Integrated, real-time data are crucial to evaluate translational efforts to accelerate innovation into care. Too often, however, needed data are fragmented in disparate systems. The South Carolina Clinical & Translational Research Institute at the Medical University of South Carolina (MUSC) developed and implemented a universal study identifier—the Research Master Identifier (RMID)—for tracking research studies across disparate systems and a data warehouse-inspired model—the Research Integrated Network of Systems (RINS)—for integrating data from those systems. Materials

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Rahul, Kumar, and Rohitash Kumar Banyal. "Detection and Correction of Abnormal Data with Optimized Dirty Data: A New Data Cleaning Model." International Journal of Information Technology & Decision Making 20, no. 02 (2021): 809–41. http://dx.doi.org/10.1142/s0219622021500188.

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Each and every business enterprises require noise-free and clean data. There is a chance of an increase in dirty data as the data warehouse loads and refreshes a large quantity of data continuously from the various sources. Hence, in order to avoid the wrong conclusions, the data cleaning process becomes a vital one in various data-connected projects. This paper made an effort to introduce a novel data cleaning technique for the effective removal of dirty data. This process involves the following two steps: (i) dirty data detection and (ii) dirty data cleaning. The dirty data detection process

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Ruckdeschel, John C., William T. Sause, Tom Belnap, Cory Jones, and Braden D. Rowley. "Oncology quality improvement as a cornerstone of the transition to accountable care." Journal of Clinical Oncology 30, no. 34_suppl (2012): 141. http://dx.doi.org/10.1200/jco.2012.30.34_suppl.141.

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141 Background: Accountable care is defined as moving the incentives for health care from a system that rewards volume and procedures to one that rewards improvements in the quality of care for a defined population. To prevent this process from deteriorating into solely a cost reduction exercise, physicians, and hospitals need to develop a valid, reproducible, and effective means of measuring quality and impacting behavior to reduce variation and improve quality of care. The Intermountain Healthcare Oncology Clinical Program’s (OCP) experience with Oncology Quality Improvement (OQI) offers sev

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Bosch, Brandon, Scott Hartman, Lauren Caldarello, and Diane Denny, DBA. "Integrating patient-reported outcomes data into the electronic health record." Journal of Clinical Oncology 36, no. 30_suppl (2018): 186. http://dx.doi.org/10.1200/jco.2018.36.30_suppl.186.

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186 Background: As a national network of hospitals that specialize in the treatment of patients fighting complex or advanced-stage cancer, the network was an early adopter of using patient reported outcome (PRO) data as part of its routine patient assessment and treatment. Since 2012 an externally validated tool has been used to capture patients’ perceived symptom burden for real-time clinical intervention, from the point of first visit throughout the course of treatment, at intervals of 21 days or greater. Research has demonstrated the use of PRO data as a valuable component of a patient’s tr

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Pfaff, Emily Rose, James Champion, Robert Louis Bradford, et al. "Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study." JMIR Medical Informatics 7, no. 4 (2019): e15199. http://dx.doi.org/10.2196/15199.

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Background In a multisite clinical research collaboration, institutions may or may not use the same common data model (CDM) to store clinical data. To overcome this challenge, we proposed to use Health Level 7’s Fast Healthcare Interoperability Resources (FHIR) as a meta-CDM—a single standard to represent clinical data. Objective In this study, we aimed to create an open-source application termed the Clinical Asset Mapping Program for FHIR (CAMP FHIR) to efficiently transform clinical data to FHIR for supporting source-agnostic CDM-to-FHIR mapping. Methods Mapping with CAMP FHIR involves (1) m

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Kannan, Vaishnavi, Jason Fish, Jacqueline Mutz, et al. "Rapid Development of Specialty Population Registries and Quality Measures from Electronic Health Record Data." Methods of Information in Medicine 56, S 01 (2017): e74-e83. http://dx.doi.org/10.3414/me16-02-0031.

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SummaryBackground: Creation of a new electronic health record (EHR)-based registry often can be a “one-off” complex endeavor: first developing new EHR data collection and clinical decision support tools, followed by developing registry-specific data extractions from the EHR for analysis. Each development phase typically has its own long development and testing time, leading to a prolonged overall cycle time for delivering one functioning registry with companion reporting into production. The next registry request then starts from scratch. Such an approach will not scale to meet the emerging de

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Rahman, Nayem. "Enterprise Data Warehouse Governance Best Practices." International Journal of Knowledge-Based Organizations 6, no. 2 (2016): 21–37. http://dx.doi.org/10.4018/ijkbo.2016040102.

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Maintaining a stable data warehouse becomes quite a challenge if discipline is not applied to code development, code changes, code performance, system resource usage and configuration of integration specification. As the size of the data warehouse increases the value it brings to an organization tends to increase. However these benefits come at a cost of maintaining the applications and running the data warehouse efficiently on a twenty four hours a day and seven days a week basis. Governance is all about bringing discipline and control in the form of guidelines for application developers and

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Lin, Hui, Pei Liu, Wei Li, Lian Peng Zhang, and Ya Zhou Ji. "Construction of Digital Mine and Key Technologies." Advanced Materials Research 524-527 (May 2012): 413–20. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.413.

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In China, the mine is facing a stern challenge over its environmental protection, the limitation on its structure and function within its subsystem, optimization of its limited manpower, financial and material resources and its sustainable development. Digital mine is come up with to deal with all these problems. The Digital Mine can be liken to “a logistics supply chain”, the basic characteristic is the high-speed network, with broadband and two-way communication system, used as “path map”, which shall make sure the fast delivery of all the data within all the relevant enterprises in the coun

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Henderi, Henderi, Untung Rahardja, and Muhammad Yusup. "SISTEM DATA WAREHOUSE DAN DATA MINING SEBAGAI PENGUKUR KINERJA ENTERPRISE." CCIT Journal 4, no. 2 (2011): 172–84. http://dx.doi.org/10.33050/ccit.v4i2.376.

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Sistem informasi pada organisasi sebagian besar digunakan untuk membantu pelaksanaan business process enterprise. Sistem tersebut pada umumnya belum dapat menyediakan informasi strategis dan membantu manajemen dalam melakukan evaluasi kinerja enterprise. Hal ini terjadi karena sistem informasi sebagian besar dibangun menggunakan konsep database OLTP (online transaction processing) dan bersifat ad hoc. Permasalahan ini terjadi pula pada sistem informasi di sebagian besar Perguruan Tinggi di Kota Tangerang sebagai sampel penelitian. Alternatif pemecahan masalah tersebut adalah membangun sistem i

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Weinzettel, Achim. "Aufbau und Wirtschaftlichkeit eines Enterprise Data Warehouse." Innovative Verwaltung 32, no. 12 (2010): 30–33. http://dx.doi.org/10.1007/bf03249066.

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Ji, Zhi Gang. "The Building of Marketing Decision Support System Based on Data Warehouse." Applied Mechanics and Materials 29-32 (August 2010): 2523–28. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.2523.

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An outline of marketing decision supporting date warehouse system based on the existing databases is proposed. The application of data warehouse technique and multi-agent systems to modern marketing decision support system may assist supervisors of enterprise to make an analysis of strategic decision and to improve the competitive power of the enterprise. Finally, the developing tools and the implementation of the Web-enabled data warehouse were discussed.

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Gulzar, Arshad. "Design and Implementation of an Enterprise Data Warehouse." International Journal of Engineering and Computer Science 7, no. 12 (2018): 24422–29. http://dx.doi.org/10.18535/ijecs/v7i12.02.

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The purpose of this paper is to study components of a theoretical Enterprise Data Warehouse within the context of a higher education environment. The reason for such an implementation would give users at all levels of the university an integrated, secure and consistent data source from which they could report on and set their business needs more efficiently than possible without one

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Li, Jing Zhu, Hui Ling Wu, and Tai Yu Liu. "Data Mining Architecture System Expansion." Advanced Materials Research 926-930 (May 2014): 1898–901. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1898.

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How to build a data warehouse and data mining is constantly worth exploring and optimization, not only technically, in commercial applications as well. This article discusses the introduction of new technologies and concepts, the traditional method of data warehouse technology has changed dramatically, based on data warehouse applications are a new development. Each enterprise data warehouse based on the characteristics of different companies, you can use a very flexible method of selection and design selection, implementation. According to some relatively new technical features, talk about da

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Porshnev, Sergey, Andrey Borodin, Olga Ponomareva, Sergey Mirvoda, and Olga Chernova. "The Development of a Heterogeneous MP Data Model Based on the Ontological Approach." Symmetry 13, no. 5 (2021): 813. http://dx.doi.org/10.3390/sym13050813.

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The article discusses the approaches providing symmetric access of all industrial production services to the data of business processes of the enterprise by building a single warehouse of heterogeneous data of a metallurgical production. The warehouse is a part of an automated statistic quality control system for the products of a metallurgical enterprise. The article describes an ontological storage model of data coming from various sources of information in the production process. The concept of “a unit of production of metallurgical production” is introduced that is the connecting component

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Yang, Peng, and Zhe Jun Zeng. "The Application of Data Warehouse in Enterprise Resource Planning." Advanced Materials Research 179-180 (January 2011): 973–77. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.973.

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Through building a data warehouse which is used to support manufacturing inventory analysis, according to the analysis theme, this paper extracted, purified and integrated the historical data which is accumulated by the enterprise in a long term and distributed in the various heterogeneous systems, and store them in the data warehouse fact table; through the establishment of the data cube, it generate the aggregated data with different particle size, as well as provide on-line analytical processing technology (OLAP), to provide users data query analysis with multi-angle, multi-granularity, vis

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Rostek, Katarzyna. "Data Analytical Processing in Data Warehouses." Foundations of Management 2, no. 1 (2010): 99–116. http://dx.doi.org/10.2478/v10238-012-0023-x.

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Data Analytical Processing in Data Warehouses The article presents issues connected with processing information from data warehouses (the analytical enterprise databases) and two basic types of analytical data processing in data warehouse. The genesis, main definitions, scope of application and real examples from business implementations will be described for each type of analysis. There will be presented copyrighted method of knowledge discovering in databases, together with practical guidelines for its proper and effective use in the enterprise.

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Tan, Jun, and Hai Ming Zhao. "Construction of Data Warehouse Platform in Continual Quality Improvement." Applied Mechanics and Materials 519-520 (February 2014): 13–16. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.13.

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Aiming at improving product quality continually, we proposed an association rules mining system (ARMS) based on idea of PDCA cycling. Data warehouse is very useful for integrating heterogeneous database. Therefore, this paper designed a data warehouse platform as process data exchange module in ARMS. The role of data warehouse platform module is to integrate XML with enterprise process for realizing process data exchange among departments. In design of data warehosue, this paper chooses three-tier data warehouse structure and snowflake schema for indicating the complex relation between process

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Ou, Yan Qun, Li Zhou, and Yu Ping Fang. "Application Research of Data Warehouse in CRM." Advanced Materials Research 591-593 (November 2012): 854–57. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.854.

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Customer relationship management (CRM) is an integral part in the manufacturing enterprise information. The content of CRM is based on customer information and business transaction data, and using computer information technology to deeply analysis massive data of data warehouse. The purpose is to identify customers’ different features and analyze customer behaviors, then dig out the information of commercial value to help business planning and decision-making related business activities. The thesis introduces the system of the CRM based on Data Warehouse: to describe and predict the model of e

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Li, Gang, Xing San Qian, and Chun Ming Ye. "A New Architecture for Large Data Warehouse." Applied Mechanics and Materials 55-57 (May 2011): 87–90. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.87.

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Data warehouse is playing a more and more important role in company’s decision making; it is the basis for a typical business intelligence solution. The paper points out the reasons why data warehouse projects failed and by analyzing the current data warehouse architectures, as well as technologies used in industry, a new data warehouse architecture is proposed which has many advantages over current ones, for example, it is extensible, reusable, flexible and with high performance and lower cost.

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Yao, James, John Wang, Qiyang Chen, and Ruben Xing. "Core Methodologies in Data Warehouse Design and Development." International Journal of Robotics Applications and Technologies 1, no. 1 (2013): 57–66. http://dx.doi.org/10.4018/ijrat.2013010104.

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Data warehouse is a system which can integrate heterogeneous data sources to support the decision making process. Data warehouse design is a lengthy, time-consuming, and costly process. There has been a high failure in data warehouse development projects. Thus how to design and develop a data warehouse have become important issues for information systems designers and developers. This paper reviews and discusses some of the core data warehouse design and development methodologies in information system development. The paper presents in particular the most recent and much heated hybrid approach

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M., Evaristus Didik, Dewi S., Felisia L., and Winnie S. "Manfaat Data Warehouse Pada PT ABC." ComTech: Computer, Mathematics and Engineering Applications 4, no. 2 (2013): 932. http://dx.doi.org/10.21512/comtech.v4i2.2533.

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The purpose of this paper is to analyze the current system to find out problems faced by the company and propose alternative solutions and generate information needed by management by designing a data warehouse according to the information needs of PT ABC. This research implements analysis and design of datawarehouse by Ralph Kimball and Ross cited by Connolly and Begg, known as Nine-Step Methodology. The result obtained is a data warehouse application that may present a multidimensional historical data that can assist the management in decisions. Designing data warehouse at PT ABC makes conci

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Zhou, Jie, Ming Fang, and Xin-ran Cao. "Drilling Material Data Warehouse ETL System Research Based on Crowd-Sourcing." MATEC Web of Conferences 232 (2018): 01017. http://dx.doi.org/10.1051/matecconf/201823201017.

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Drilling material data warehouse is an important platform for assisting drilling engineering decision support and data analysis. The construction of high-efficiency and high-quality enterprise-level data warehouse puts high requirements on data quality. The operation targets of oil and gas drilling engineering are buried underground, and there are difficulties in data obtaining. This causes many uncertain data in the oil and gas drilling business database. At the same time, the business database in one area is quite different from those of other areas due to geographical environmental impacts

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Ye, Liu, Yuhan Wang, and JiaHui Chen. "Research on the Intelligent Warehouse Management System Based on Near Field Communication (NFC) Technology." International Journal of Advanced Pervasive and Ubiquitous Computing 8, no. 2 (2016): 38–55. http://dx.doi.org/10.4018/ijapuc.2016040103.

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With the continuous development of retail and logistics, enterprise inventory management has become more and more complex, the traditional management mode can't meet the requirements of modern enterprise inventory management. In the environment of Internet of things, a kind of intelligent warehouse management system based on NFC is studied, which can realize the real time intelligent management of logistics. This paper design the NFC tags to store the warehouse information, freight car information, superior management order, etc., and read it by a smart android mobile terminal which support NF

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Mu, Songhe, Qing Zhu, Yue Zhang, and Yeteng An. "Data warehouse dimensional modeling for customer service business." MATEC Web of Conferences 309 (2020): 05010. http://dx.doi.org/10.1051/matecconf/202030905010.

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The daily traffic volume of the State Grid 95598 Customer Service Center exceeds 800,000. In order to manage and store these massive data, we must carefully handle it. The call from electric customers implement the business philosophy of “Quality service is the lifeline of electric power enterprise”, and carry out related data aggregation, processing, statistics, conversion and analysis based on data warehouse, and fully explore and analyze these with big data analysis technology. The potential value in the data guides the optimization of business processes and improves the service quality and

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Śmiałkowska, Bożena. "Choice and estimate of enterprise strategy with use adaptive data warehouse." Zeszyty Naukowe Uniwersytetu Szczecińskiego. Studia Informatica 38 (2015): 203–14. http://dx.doi.org/10.18276/si.2015.38-15.

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32

Topchyan, A. R. "Enabling Data Driven Projects for a Modern Enterprise." Proceedings of the Institute for System Programming of the RAS 28, no. 3 (2016): 209–30. http://dx.doi.org/10.15514/ispras-2016-28(3)-13.

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M., Evaristus Didik, M. Awan Wibisono, Sucipto A., and Gusti Agung D. V. "Manfaat Datawarehouse pada Rumah Sakit ABC." ComTech: Computer, Mathematics and Engineering Applications 3, no. 2 (2012): 824. http://dx.doi.org/10.21512/comtech.v3i2.2310.

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This study is objected to analyze the current system to find the problems being faced by ABC Hospital and propose alternative solutions. Additionally, it aims to generate information needed by the hospital management to design a data warehouse according to the information needs. The research method used is the analysis and design of data warehouse by Kimball and Ross cited by Connolly and Begg, known as Nine-Step Methodology. The result obtained is a data warehouse application with a multidimensional historical data that can assist the hospital management in decision making. Designing data war

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Yang, Zhi Gang, Li Sun, and Xiao Yang Yu. "Design and Implementation of a Data Warehouse ETL Tray Program." Applied Mechanics and Materials 385-386 (August 2013): 1684–88. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1684.

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This paper presents an ETL system for a data warehouse designed for a PVC profile manufacturing enterprise. The system implements the data extraction, data transformation and load from the data sources of ERP system, CRM system and production line operation data collection system. The ETL requirements are discussed. The system design and implementation methods, including system structure, functions, data processing methods as well as tray program implementation are addressed.

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Haarbrandt, B., and M. Marschollek. "Modeling and Integration of Intensive Care Data Into an openEHR-based Enterprise Data Warehouse." Current Therapeutic Research 78 (2016): S8—S9. http://dx.doi.org/10.1016/j.curtheres.2016.05.019.

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Chute, C. G., S. A. Beck, T. B. Fisk, and D. N. Mohr. "The Enterprise Data Trust at Mayo Clinic: a semantically integrated warehouse of biomedical data." Journal of the American Medical Informatics Association 17, no. 2 (2010): 131–35. http://dx.doi.org/10.1136/jamia.2009.002691.

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Cho, Dong-Hyun, and Kyo-Jin Koo. "Data-warehouse Prototype for Supporting Master Plan of Renewal Promotion Projects." Journal of the Korea Academia-Industrial cooperation Society 16, no. 9 (2015): 6376–84. http://dx.doi.org/10.5762/kais.2015.16.9.6376.

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Deshpande, Kuldeep, and Bhimappa Desai. "Model for Assessment of Agile Methodology for Implementing Data Warehouse Projects." International Journal of Applied Information Systems 9, no. 8 (2015): 42–49. http://dx.doi.org/10.5120/ijais2015451446.

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Curtis, Mary B., and Kailash Joshi. "Developing a Data Warehouse: Some Guidelines and Suggestions." Review of Business Information Systems (RBIS) 3, no. 2 (1999): 13–26. http://dx.doi.org/10.19030/rbis.v3i2.5424.

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Although accounting information systems (AIS) are an important source of information for strategic development, the systems possess overriding limitations. Data Warehousing (DW) has emerged as an important tool to overcome these limitations by making use of existing data storage and database management technologies to organize the storage of relevant corporate data spanning several sources and time periods into one central location. Because DW projects are risky and expensive undertakings, however, care must be taken in their planning and development. This paper includes recommendations for th

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Li, Zhi Wei, and Dong Bai. "Research on Accounting Decision Support System Based on Data Warehouse and Data Mining." Advanced Materials Research 989-994 (July 2014): 4819–22. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4819.

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With the intensification of market competition and the demand of information society development, extracted from large amounts of data (retrieval and query, etc.) used for decision making and analysis of information becomes more and more important. Through the accounting data warehouse design, data extraction, data maintenance, accounting decision-making needs design, mining algorithm is designed, and the mining operation, the expression and interpretation, etc, can discover useful from vast amounts of financial data, important information, etc. Provide scientific decision-making for the enter

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Gu, He, and Yao Hong Zhao. "Interface Design and Development of ETL in the Telecommunications Business Data Warehouse Plat Form." Applied Mechanics and Materials 513-517 (February 2014): 2236–39. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2236.

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. This paper describes the design of the telecommunications data warehouse interface part and development process of the ETL. Use of the data warehouse organization and storage method, carry on data analysis and business decisions effectively for the telecommunications services.The interface mainly undertakes the tasks is standardizing transfer mode of data among the various production systems. ETL's process is the key of the whole data warehouse. In the Text, described in detail for Its function framework and software deployment, and according to the data interface specification to describe t

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MARSETIYA UTAMA, DANA, and FERRY YULIANTO. "PERANCANGAN SISTEM ENTERPRISE RESOURCE PLANNING MODUL SALES PADA DISTRIBUTOR BERAS UD MANIS." Jurnal Teknik Industri 15, no. 1 (2014): 61. http://dx.doi.org/10.22219/jtiumm.vol15.no1.61-69.

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PERANCANGAN SISTEM ENTERPRISE RESOURCEPLANNING MODUL SALES PADA DISTRIBUTOR BERASUD MANISDANA MARSETIYA UTAMA*, DAN FERRY YULIANTOJurusan Teknik Industri, Fakultas Teknik, Universitas Muhammadiyah MalangJl. Raya Tlogomas 246, Malang, Jawa Timur 65144Email: fund.1986@gmail.comABSTRAKUD Manis adalah distributor beras di Kabupaten Lamongan.Permasalahan pada UD Manisadalah belum adanya sistem informasi untuk menampilkan stock barang di gudang dan titipan barangdari pelanggan meskipun perusahaan telah menggunakan aplikasi data base MS Access. Perusahaanmemerlukan sistem informasi untuk menampilkan

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VADUVA, ANCA, and THOMAS VETTERLI. "METADATA MANAGEMENT FOR DATA WAREHOUSING: AN OVERVIEW." International Journal of Cooperative Information Systems 10, no. 03 (2001): 273–98. http://dx.doi.org/10.1142/s0218843001000357.

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Metadata has been identified as a key success factor in data warehouse projects. It captures all kinds of information necessary to design, build, use and interpret the data warehouse contents. This paper gives an overview about the role metadata plays for data warehousing and reviews existing standards, commercial solutions and research actions relevant to metadata management. It turns out that an overall solution for managing all metadata in a central or federated repository is still missing regarding a global metadata schema as well as system aspects and interoperability among involved tools

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Kukliński, Michał. "Construction and functioning for the data warehouse in the enterprise in the context of the effective decision making." Equilibrium 2, no. 1 (2009): 171–80. http://dx.doi.org/10.12775/equil.2009.016.

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In the twenty-four hours of computerised enterprises, recruiting huge amounts of data, processing them in the traditional way would be highly ineffective and it will not deliver to us so much interesting information, forecasts and the relation, as Business Intelligence systems, of which Data Warehouses are a basis. The publication is answering questions: what the data warehouse is what is serving for and what are examples of applying. Stages of the build of the Data Warehouse and factors assuring achieving success in taking economic decisions will be introduced.

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Veneberg, R. K. M., M. E. Iacob, M. J. van Sinderen, and L. Bodenstaff. "Relating Business Intelligence and Enterprise Architecture — A Method for Combining Operational Data with Architectural Metadata." International Journal of Cooperative Information Systems 25, no. 02 (2016): 1650007. http://dx.doi.org/10.1142/s0218843016500076.

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Combining enterprise architecture and operational data is complex (especially when considering the actual ‘matching’ of data with enterprise architecture elements), and little has been written on how to do this. In this paper we aim to fill this gap, and propose a method to combine operational data with enterprise architecture to better support decision-making. Using such a method may result in either an enriched enterprise architecture model (which is very suitable as basis for model-based architecture analyses) or a warehouse data model where operational data is enriched with enterprise arch

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Poulose, Benjamin K., Joan Kaiser, William C. Beck, et al. "Disease-based mortality after percutaneous endoscopic gastrostomy: utility of the enterprise data warehouse." Surgical Endoscopy 27, no. 11 (2013): 4119–23. http://dx.doi.org/10.1007/s00464-013-3077-2.

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Putra, Fathiyarizq Mahendra, and Ida Bagus Gede Dwidasmara. "Data warehouse model for population registration in Kerambitan village Tabanan Regency." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 8, no. 3 (2020): 293. http://dx.doi.org/10.24843/jlk.2020.v08.i03.p11.

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Kerambitan village is one of the 15 villages in Kerambitan sub-district, Tabanan regency, Kerambitan village has 7 service hamlets. Kerambitan village population has more than 3,338 inhabitants consisting of 1,700 men and 1,638 women with a sex ratio of 103.79. . To realize good governance, it needs to be recorded well so that the information can be utilized by related agencies which can be used for receiving assistance. During this time the process of recording population events such as recording the receipt of assistance is done manually where the information is done in tabular form so

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Shehu, Blerim. "RESERVES AND THE COST OF GOODS SOLD." KNOWLEDGE INTERNATIONAL JOURNAL 30, no. 1 (2019): 147–51. http://dx.doi.org/10.35120/kij3001147s.

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This topic is about the role of stocks of commodities located in the warehouse, these goods are in the form of finished products, auxiliary materials semi-products. Control of material goods by enterprise executives, information provided to auditors. With internal control we can find the exact cost of the reserves, the exact cost of the goods sold and we can accurately determine the amount they are in the warehouse. Through accurate records, the true amount of material goods is determined, eliminating doubt about the valuation of the material goods that are in stock. Reports accepted the audit

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Rahman, Nayem. "A Simulation Model for Application Development in Data Warehouses." International Journal of Operations Research and Information Systems 9, no. 1 (2018): 66–80. http://dx.doi.org/10.4018/ijoris.2018010104.

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Software development projects have been blamed for being behind schedule, cost overruns, and the delivery of poor quality product. This paper presents a simulation model of a data warehouse to evaluate the feasibility of different software development controls and measures to better manage a software development lifecycle, and improve the performance of the launched software. This paper attempts to address the practical issue of code defects in each stage of data warehouse application development. The author has compared the defect removal rate of their previous project to the newly proposed e

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Wang, Xiao Guo, and Ru Jia. "Design and Implementation of University Information Service Platform Based on Data Warehouse." Applied Mechanics and Materials 321-324 (June 2013): 2543–50. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2543.

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Considering the functional requirements of essential service, value-added service, prediction service and personalized service, which are demanded by users from university, enterprise and government, this paper designed an infrastructure of university information service platform using data warehouse technology. By means of the infomation resource integration method put forward by this paper, the platform realized the subject-oriented, multi-scale service to meet users service requirements and support decisions.

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