Research
Submitted by administrator on Wed, 04/04/2007 - 12:12.
Data Acquisition, Retrieval and Access
Information Quality Management Capability Maturity
Information Quality Management Scorecard
Data Cleansing Methodologies
Business Rules for Data Cleansing
A Framework for Linking Data Quality Efforts to Organisational Key Performance Indicators
Critical Success Factors for the Implementation of Business Intelligence Systems
Data Quality Framework for Engineering Asset Management
Data Entry Validation Agent
Business Continuity
IT Governance and Compliance
Technology Enhanced Learning
The SIMLab@UniSA conducts research in areas relating to information management in contemporary business. The lab currently has the following research areas:
Data and Information Quality
IT Governance
Knowledge Management
Business Intelligence
Data Warehousing and Data Mining
Context Based Information Search
Content Management
Information Visualisation
