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Data Management and Analytics Community
Type
applied research project
Start Date
01 July 2014
End Date
31 December 2025
Acronym
DMAC
Status
ongoing
Keywords
Data Management
Data Analytics
Data Governance
Data Lakes
Big Data
Data Quality
Data Mesh
Description
DMAC focuses on an enterprise-wide perspective on data in large European organizations. The community on the one hand is concerned with challenges in data analytics for business innovation while at the other hand taking care of data management challenges implied for example by legal regulations such as the General Data Protection Regulation (GDPR).
Leader contributor(s)
Member contributor(s)
Partner(s)
Commerzbank
Credit Suisse
DNB
DZ Bank
Erste Group
UBS
Funder(s)
Topic(s)
Data Management
Data Analytics
Data Governance
Data Lakes
Big Data
Data Quality
Data Mesh
Method(s)
Focus Groups
Case Study
Range
Institute/School
Range (De)
Institut/School
Division(s)
Eprints ID
239746
2 results
Now showing
1 - 2 of 2
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PublicationUnderstanding Continuous Use of Business Intelligence Systems: A Mixed Methods InvestigationBusiness intelligence (BI) systems play an important role in organizations' decision-making processes. The existing literature has long focused on the continuous use of information systems (IS). However, the specificities of BI systems such as voluntary use, long-term return of investments, heterogeneity of their use cases, and innovative rather than routine use in such systems motivate our investigating continuous use in the specific context of BI systems. To theorize continuous use of BI systems, we investigate the influencing factors and their interactions. By means of an exploratory and confirmatory mixed-methods research design that comprises a literature review, a single-case study, and a survey, we integrate the identified factors and hypothesize their influence on the continuous use of BI systems in a research model. We test the research model following a partial least squares (PLS) approach to structural equation modeling (SEM). The paper makes two primary contributions: 1) it confirms certain well-established constructs and relations in the specific context of BI systems, which are generally theorized for the continuous use of IS, and 2) it introduces either new constructs or new relations through the given investigation in the context of BI systems. Future studies can test these new constructs and relations as potential input for theorizing general IS continuous use.Type: journal articleJournal: Journal of Information Technology Theory and Application (JITTA)Volume: 16Issue: 2
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PublicationManagement Objectives and Design Principles for the Cost Allocation of Business Intelligence(Association for Information Systems, 2015-07-05)
;Epple, JohannesToday business intelligence (BI) systems, which provide management with decision-supportive information, are considered to be a prerequisite for organizational success. In contrast to the operation of BI, BI system management is still an emerging topic in information systems (IS) research. Even though the cost management of BI systems is highly relevant for practice, the field is widely unexplored. Cost allocations for BI systems are supposed to enhance transparency, create cost awareness and support the management of resources of the BI system. In our research we have conducted two focus group studies to examine the basis for BI cost allocations. First, we derive management goals and design principles for a BI cost allocation from an exploratory focus group. In a second step, we evaluate the goals and the design principles in a confirmatory focus group. Our research provides valuable insights on the application of BI cost allocations from our focus groups and contributes a basis for the design of BI cost allocation methods.Type: conference paper