Critical business intelligence practices to create meta-knowledge

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dc.citation.issue1
dc.citation.volume36
dc.contributor.authorMathrani S
dc.date.available1/01/2021
dc.date.issued14/01/2021
dc.description.abstractIn order to successfully implement strategies and respond to business variations in real-time, business intelligence (BI) systems have been deployed by organisations that assist in focused analytical assessments for execution of critical decisions. Although businesses have realised the significance of BI, few studies have explored their analytical decision-enabling capabilities linked to organisational practices. This study investigates the BI practices critical in creating meta-knowledge successfully for strategy-focused analytical decision-making. First, key BI suppliers are interviewed to develop an understanding of their BI capabilities and current deployment practices. Subsequently, two large BI implementation case studies are conducted to examine their practices in data transformation process. Findings reveal that BI practices are highly context-specific in mapping decisions with data assets. Complimentary static and dynamic evaluations provide holistic intelligence in predicting and prescribing a more complete picture of the enterprise. These practices vary across firms in their effectiveness reflecting numerous challenges and improvement opportunities.
dc.description.publication-statusPublished
dc.format.extentJan-20
dc.identifier.citationInternational Journal of Business Information Systems, 2021, 36 (1), pp. 1 - 20
dc.identifier.doi10.1504/IJBIS.2021.112413
dc.identifier.eissn1746-0980
dc.identifier.elements-id438540
dc.identifier.harvestedMassey_Dark
dc.identifier.issn1746-0972
dc.identifier.urihttps://hdl.handle.net/10179/16604
dc.publisherInderscience Publishers Ltd
dc.relation.isPartOfInternational Journal of Business Information Systems
dc.subject.anzsrc0806 Information Systems
dc.subject.anzsrc1503 Business and Management
dc.titleCritical business intelligence practices to create meta-knowledge
dc.typeJournal article
massey.identifier.uri-duplicatehttps://hdl.handle.net/10179/16036
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Food and Advanced Technology
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