Integrated decision support systems: A data warehousing perspective

March, Salvatore T.; Hevner, Alan R.

doi:10.1016/j.dss.2005.05.029

Cited by 226 publications

(131 citation statements)

References 13 publications

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“…In (March et al, 2007), MD2A (Multi Dimensional Model Driven Architecture) is suggested as an approach for applying the MDA framework to one of the stages of the DW development: multidimensional (MD) modeling. The authors defined MD PIM, MD PSM and necessary transformations.…”

Section: Related Workmentioning

confidence: 99%

“…A number of these MDE approaches have been proposed either as a UML extension or as their own graphical notation for conceptual ETL data mapping design (Mora1 et al, 2004), (March et al, 2007). A meta-model for process has also been proposed to apply MDE to the workflow and scheduling in DW (Bohm et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…To support the growing demands of DW development, ETL (ExtractTransform-Load) processes have supported a systematic framework for the extraction of the data from heterogeneous data sources, and its transformation; cleansing, converting, and loading them into the data warehouse. According to (March et al, 2007), ETL processes are not only important for design and maintenance of DW but also key contributers to the success of DW projects. Various approaches have been proposed in order to improve the ETL engineering.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automatic Generation of Data Merging Program Codes

Kim¹,

Oussena²,

Zhang³

et al. 2010

Proceedings of the 5th International Conference on Software and Data Technologies

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Abstract:Data merging is an essential part of ETL (Extract-Transform-Load) processes to build a data warehouse system. To avoid rewheeling merging techniques, we propose a Data Merging Meta-model (DMM) and its transformation into executable program codes in the manner of model driven engineering. DMM allows defining relationships of different model entities and their merging types in conceptual level. Our formalized transformation described using ATL (ATLAS Transformation Language) enables automatic generation of PL/SQL packages to execute data merging in commercial ETL tools. With this approach data warehouse engineers can be relieved from the burden of repetitive complex script coding and the pain of maintaining consistency of design and implementation.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automatic Generation of Data Merging Program Codes

Kim¹,

Oussena²,

Zhang³

et al. 2010

Proceedings of the 5th International Conference on Software and Data Technologies

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show abstract

“…In more general work on BPA, we find techniques based on plain statistical analysis, data and process mining techniques, neural networks, case-based reasoning, or heuristic rules [13,7,14,15,16,17,18]. Some techniques focus on automating analysis to the greatest extent whereas others pay particular attention to obtaining results that can easily be explained and presented to the user.…”

Section: Related Workmentioning

confidence: 99%

Strategy-Driven Business Process Analysis

Pedrinaci

Marković

Hasibether

et al. 2009

Business Information Systems

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Abstract. Business Process Analysis (BPA) aims to verify, validate, and identify potential improvements for business processes. Despite the wide range of technologies developed so far, the large amount of information that needs to be integrated and processed, as well as the quantity of data that has to be produced and presented still poses important challenges both from a processing and presentation perspectives. We argue that to enhance BPA, semantics have to be the core backbone in order to better support the application of analysis techniques on the first hand, and to guide the computation and presentation of the results on the other hand. We propose a knowledge-based approach to supporting strategydriven BPA by making use of a comprehensive and extensible ontological framework capturing from high-level strategic concerns down to lowerlevel monitoring information. We describe how corporate strategies can be operationalized into concrete analysis that can guide the evaluation of organisational processes, structure the presentation of results obtained and better help assess the well-being of corporate business processes.

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“…BI applications can be considered a performance management framework that help companies set goals, analyse progress, gain insight, take action, and measure success [21] [22] [23]. Gangadharan and Swamy [24] states that BI is a description of the result of an in-depth analysis of detailed business data that includes database and application technologies, as well as analysis practices.…”

Section: Business Intelligencementioning

confidence: 99%

Usability Evaluation for Business Intelligence Applications: A User Support Perspective

Jooste¹,

Biljon²,

Mentz³

2014

SACJ

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Business Intelligence (BI) applications provide business information to drive decision support. Usability is one of the factors determining the optimal use and eventual benefit derived from BI applications. The documented need for more BI usability research together with the practical necessity for BI evaluation guidelines in the mining industry provides the rationale for this study. The purpose of the study was to investigate the usability evaluation of BI applications in the context of a coal mining organization. The research is guided by the question: How can existing usability criteria be customized to evaluate the usability of BI applications. The research design included user observation, heuristic evaluation and a survey. Based on observations made during user support on a BI application used at a coal mining organization a log of usability issues was compiled. The usability issues extracted from this log was compared and contrasted with general usability criteria from literature to synthesize an initial set of BI usability evaluation criteria. These criteria were used as the basis for a heuristic evaluation of the BI application used at the coal mining organization. The same BI application was also evaluated using the Software Usability Measurement Inventory (SUMI) standardized questionnaire. The results from the two evaluations were triangulated and then compared with the BI user issues again to contextualize the findings and synthesize a validated and refined set of criteria. The main contribution of the study is the usability evaluation criteria for BI applications presented as guidelines. These guidelines deviate from existing evaluation guidelines in the emphasis on information architecture, learnability and operability.

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Integrated decision support systems: A data warehousing perspective

Cited by 226 publications

References 13 publications

Automatic Generation of Data Merging Program Codes

Automatic Generation of Data Merging Program Codes

Strategy-Driven Business Process Analysis

Usability Evaluation for Business Intelligence Applications: A User Support Perspective

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