Title :
Notice of Retraction
Constructing an enterprise business intelligence maturity model (EBI2M): Applying Delphi method for consensus (prelimary result)
Author :
Min-Hooi Chuah ; Kee-Luen Wong
Author_Institution :
Fac. of Inf., Commun. & Technol., Univ. Tunku abdul Rahman, Kampar, Malaysia
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper proposes an enterprise business intelligence maturity model (EBI2M) which can assist the enterprise on BI implementation. EBI2M consists of thirteen key process areas namely change management, culture, strategic management, people, performance measurement, balanced scorecard, information quality, data warehousing, metadata management, master data management, analytical, infrastructure and knowledge management. The Stage 1 Delphi study is used to narrow down the scope of this research. Thirteen Delphi panels were asked to map these key process area to suitable the maturity levels. Result of round 1 Delphi study indicates that none of the key process areas achieve consensus among Delphi panels. In the future, the subsequent round will be conducted to ensure the consensus among the Delphi panels.
Keywords :
competitive intelligence; data warehouses; knowledge management; management of change; meta data; strategic planning; Delphi method; EBI2M; balanced scorecard; change management; data warehousing; enterprise business intelligence maturity model; information quality; knowledge management; master data management; metadata management; performance measurement; strategic management; Bismuth; Capability maturity model; Knowledge management; Measurement; Organizations; Warehousing; Business Intelligence; maturity model;
Conference_Titel :
Emergency Management and Management Sciences (ICEMMS), 2011 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9665-5
DOI :
10.1109/ICEMMS.2011.6015763