Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/54382

TitleA balanced scorecard approach for evaluating the utility of a data warehousing system
Author(s)Martins, Itilde
Belo, Orlando
KeywordsBalanced scorecards
Data warehousing quality methodologies
Data warehousing systems
Decision support systems
Evaluation of services and data structures
Issue date2017
PublisherSpringer Verlag
JournalLecture Notes in Business Information Processing
Abstract(s)From time to time, on a regular basis, companies often plan and implement internal measurement processes of quality of service and information of their computer systems. These processes are very important for ensuring user confidence in the operation of their systems and consequently on the information they extracted and used from them. In all activities related to decision-making, it is important to ensure that systems supporting such activities, such as data warehousing systems, guarantee a good quality of service and provide data accordingly the needs of decision makers. Most company managers are concerned how to monitor and ensure that their business objectives, strategies and methods will be achieved adopting and using a balanced scorecard solution. In this work, we present and discuss how we can use such kind of approach for monitoring and optimizing the utility of a data warehousing system. We approached the problem defining some of the most conventional perspectives used on balanced scorecards solutions, namely financial, customer, internal processes, and learning and growth, applying them with the goal to measure and optimize the degree of utility of a specific data warehousing system.
TypeConference paper
URIhttp://hdl.handle.net/1822/54382
ISBN9783319659299
DOI10.1007/978-3-319-65930-5_49
ISSN1865-1348
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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