Description
As a result of the increasing complexity in Business Intelligence (BI) systems, metadata management (MDM) gains relevance in order to sustain the manageability of enterprise-wide decision support systems. MDM is becoming even more challenging in the advent of the big data era. The paper at hand examines the status quo of MDM within BI and big data using a stakeholder lens. We differentiate three types of stakeholders (users, developers, and decision makers) and investigate, based on a survey, the potential benefits of MDM, the perceived need for MDM improvement, and the resulting challenges from the perspective of each stakeholder type. It is confirmed that the stakeholder perspective has impact on the assessment. In addition, we analyze the transition from BI-related to big data-related MDM. The results support decision makers in prioritizing and allocating resources for MDM initiatives.
Recommended Citation
Dinter, Barbara; Gluchowski, Peter; and Schieder, Christian, "A Stakeholder Lens on Metadata Management in Business Intelligence and Big Data – Results of an Empirical Investigation" (2015). AMCIS 2015 Proceedings. 41.
https://aisel.aisnet.org/amcis2015/BizAnalytics/GeneralPresentations/41
A Stakeholder Lens on Metadata Management in Business Intelligence and Big Data – Results of an Empirical Investigation
As a result of the increasing complexity in Business Intelligence (BI) systems, metadata management (MDM) gains relevance in order to sustain the manageability of enterprise-wide decision support systems. MDM is becoming even more challenging in the advent of the big data era. The paper at hand examines the status quo of MDM within BI and big data using a stakeholder lens. We differentiate three types of stakeholders (users, developers, and decision makers) and investigate, based on a survey, the potential benefits of MDM, the perceived need for MDM improvement, and the resulting challenges from the perspective of each stakeholder type. It is confirmed that the stakeholder perspective has impact on the assessment. In addition, we analyze the transition from BI-related to big data-related MDM. The results support decision makers in prioritizing and allocating resources for MDM initiatives.