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Data Quality for Decision Makers [electronic resource] : A dialog between a board member and a DQ expert / by Guilherme Morbey.

By: Morbey, Guilherme [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Gabler, 2013Edition: 2nd ed. 2013.Description: XI, 78 p. 7 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783658018238.Subject(s): Economics | Management information systems | Economics/Management Science | Business Information SystemsDDC classification: 650 Online resources: Click here to access online
Contents:
Data quality in general -- Organisational and technical requirements -- Stumbling blocks.- Factors for Success.
In: Springer eBooksSummary: Currently many companies are confronted with the decision how to deal with the new data quality requirements of the regulatory authorities. Future data quality statements for enterprise key figures and their origins are being demanded. Applying methods of a data quality management system can produce these statements best. Guilherme Morbey explains the introduction of such a system in the form of a dialogue.   Content ·         Data quality in general ·         Organisational and technical requirements ·         Stumbling blocks ·         Factors for Success     Target groups ·         Faculty members and students in business administration focussing on corporate governance and business computer science ·         Managers and upcoming professionals in business   The Author Guilherme Morbey, owner of Morbey Consulting, is primarily engaged in financial services. One of his main topics is the introduction of data quality management systems.  
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Data quality in general -- Organisational and technical requirements -- Stumbling blocks.- Factors for Success.

Currently many companies are confronted with the decision how to deal with the new data quality requirements of the regulatory authorities. Future data quality statements for enterprise key figures and their origins are being demanded. Applying methods of a data quality management system can produce these statements best. Guilherme Morbey explains the introduction of such a system in the form of a dialogue.   Content ·         Data quality in general ·         Organisational and technical requirements ·         Stumbling blocks ·         Factors for Success     Target groups ·         Faculty members and students in business administration focussing on corporate governance and business computer science ·         Managers and upcoming professionals in business   The Author Guilherme Morbey, owner of Morbey Consulting, is primarily engaged in financial services. One of his main topics is the introduction of data quality management systems.  

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