The Experts below are selected from a list of 20673 Experts worldwide ranked by ideXlab platform
Hubert Österle - One of the best experts on this subject based on the ideXlab platform.
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controlling Customer Master data quality findings from a case study
International Conference on Information Resources Management (Conf-IRM), 2013Co-Authors: Ehsan Baghi, Boris Otto, Hubert ÖsterleAbstract:Data quality management plays a critical role in all kinds of organizations. High-quality data is one of the most important prerequisites for making strategic business decisions and executing business processes. In order to be able to assess data quality, ensure efficient process execution, and verify the effectiveness of data quality initiatives, data quality has to be monitored and controlled. This can be achieved by implementing a comprehensive controlling system for data quality. However, only few organizations have managed to implement such a system. This paper presents a single-case study describing the process of implementing a comprehensive data quality controlling system. The study focuses on controlling activities defined in the field of business management.
Jeanny Anes - One of the best experts on this subject based on the ideXlab platform.
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implementasi aplikasi web untuk pengelolaan data Customer Master sales contract sales order dan delivery order pada pt s bandung
2008Co-Authors: Jeanny AnesAbstract:PT S Bandung is subdivision of PT X in the Textile Factory . All documentations which now still manual that is doing input data constructively Microsoft Excel. Data often times cannot tracing bypart of Sales And Distribution. With presence application of web can be handling the problem of management data in sales contract, order sales, and order delivery. Many problem overall about data management can behandle maximally. Making of application of web this most imitating job of SAP residing in company of center. Application of Web will check to all data to be included by user. Marginally this module consist of 4 big shares which is interaction. Application of Web assist to do seeking of data accurately to each. Every modules sequence so that data earn integrated better and prevent the happening of mistake.
Ehsan Baghi - One of the best experts on this subject based on the ideXlab platform.
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controlling Customer Master data quality findings from a case study
International Conference on Information Resources Management (Conf-IRM), 2013Co-Authors: Ehsan Baghi, Boris Otto, Hubert ÖsterleAbstract:Data quality management plays a critical role in all kinds of organizations. High-quality data is one of the most important prerequisites for making strategic business decisions and executing business processes. In order to be able to assess data quality, ensure efficient process execution, and verify the effectiveness of data quality initiatives, data quality has to be monitored and controlled. This can be achieved by implementing a comprehensive controlling system for data quality. However, only few organizations have managed to implement such a system. This paper presents a single-case study describing the process of implementing a comprehensive data quality controlling system. The study focuses on controlling activities defined in the field of business management.
Valter Šorli - One of the best experts on this subject based on the ideXlab platform.
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Master data management Customer data integration
2014Co-Authors: Valter ŠorliAbstract:In this Master’s thesis we deal with the problem of managing Customer Master data. Organizations are often faced with inconsistent data, which are scattered throughout the various silos applications. Since silos are living their own lives, the Master data in them remains uncoordinated and business users often do not know which copy reflects the latest valid state. With a desire to raise the quality of Customer Master data, it is necessary to establish a system to manage them. The purpose of this work is to present and describe the properties of such systems. We introduce three usage methods of systems for management: collaborative, operational and analytical, which in addition to the four modes of implementation, define a system for managing Customer Master data. Considered are all four methods of implementation that significantly determine the properties of MDM hub. We describe the operation of the registry, consolidation, transactional and coexistence hub, and perform their mutual comparison. A method for determining the degree of maturity of Master data management is presented. An organization can use it as a measure of the quality of its current solution and for seeking of further steps for improvement. The project of establishing a system of governance is extremely extensive and expensive process which, due to interference with the business processes of the organization, involves certain risks. In this work, we propose an appropriate methodology for development and project management, additionally there are given some guidelines for management team that will lead the project. On the market there are many providers of Customer Master data management solutions. To narrow the list of bidders and facilitate the organization selection, we present the results of two analytical houses, which periodically monitor the supply of the Customer Master data management segment. For five of the leading providers we sets out the main advantages and disadvantages of their solutions. Information that can be beneficial for an organization which is establishing a system for Customer Master data management, are in this work gathered on one place.
Boris Otto - One of the best experts on this subject based on the ideXlab platform.
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controlling Customer Master data quality findings from a case study
International Conference on Information Resources Management (Conf-IRM), 2013Co-Authors: Ehsan Baghi, Boris Otto, Hubert ÖsterleAbstract:Data quality management plays a critical role in all kinds of organizations. High-quality data is one of the most important prerequisites for making strategic business decisions and executing business processes. In order to be able to assess data quality, ensure efficient process execution, and verify the effectiveness of data quality initiatives, data quality has to be monitored and controlled. This can be achieved by implementing a comprehensive controlling system for data quality. However, only few organizations have managed to implement such a system. This paper presents a single-case study describing the process of implementing a comprehensive data quality controlling system. The study focuses on controlling activities defined in the field of business management.
