Logo des Repositoriums
 

Designing Business Analytics Solutions

Kurzanzeige
dc.contributor.authorNalchigar, Soroosh
dc.contributor.authorYu, Eric
dc.date.accessioned2020-02-21T10:07:58Z
dc.date.available2020-02-21T10:07:58Z
dc.date.issued2020
dc.description.abstractThe design and development of data analytics systems, as a new type of information systems, has proven to be complicated and challenging. Model based approaches from information systems engineering can potentially provide methods, techniques, and tools for facilitating and supporting such processes. The contribution of this paper is twofold. Firstly, it introduces a conceptual modeling framework for the design and development of advanced analytics systems. It illustrates the framework through a case and provides a sample methodological approach for using the framework. The paper demonstrates potential benefits of the framework for requirements elicitation, clarification, and design of analytical solutions. Secondly, the paper presents some observations and lessons learned from an application of the framework by an experienced practitioner not involved in the original development of the framework. The findings were then used to develop a set of guidelines for enhancing the understandability and effective usage of the framework.de
dc.identifier.doi10.1007/s12599-018-0555-z
dc.identifier.pissn1867-0202
dc.identifier.urihttp://dx.doi.org/10.1007/s12599-018-0555-z
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/31856
dc.publisherSpringer
dc.relation.ispartofBusiness & Information Systems Engineering: Vol. 62, No. 1
dc.relation.ispartofseriesBusiness & Information Systems Engineering
dc.subjectBusiness analytics
dc.subjectConceptual modeling
dc.subjectData analytics
dc.subjectMachine learning
dc.subjectRequirements engineering
dc.titleDesigning Business Analytics Solutionsde
dc.typeText/Journal Article
gi.citation.endPage75
gi.citation.startPage61

Dateien

Sammlungen

BISE 62(1) - February 2020