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Please review our Terms and Conditions of Use and check box below to share full-text version of article. Abstract This article presents a horizontal perspective on the dynamics of governance sites currently active for the European of Knowledge and places the Bologna process in this wider European level context. Citing Literature. December Pages Related Information. Close Figure Viewer. Browse All Figures Return to Figure.
Knowledge Governance: Processes and Perspectives by | eBay
Previous Figure Next Figure. Email or Customer ID. Of these, goal driven approach is recommended as the organizational goals permeate to all people and processes.
People Personnel should demonstrate Healthcare domain expertise beyond just technology expertise to conceive, design and help their organization implement a sustainable, long-term Business Information Strategy. To gain the most leverage out of an enterprise wide Information Strategy, the importance of accountability cannot be over emphasized.
The organization should have cross-functional Executive, Administrative and Operational execution arms that constantly interact and collaborate on the build-out and sustenance of the program. Dedicated resources are mandatory Reward performance through soft incentives such as skill upgrades and career path enhancement; and hard incentives such as innovation bonuses.
Process A process for definition of Key Performance Indicators must be established and governed. Metrics Definition of Key Performance Indicators, the monitoring of their performance and utility, their ownership, and finally its change management is critical to delivering accurate and trusted business performance measures to stakeholders.
Applications Do not underestimate end-user training various user functional categories and levels of decision making when delivering BI applications. Time spent on Training and Support is inversely proportional to effort required for ongoing support and maintenance of applications. Architecture A prerequisite to the design of any iteration of the enterprise data warehouse is a thorough understanding of the business processes and available data sources.
Source system Data Profiling is a key pre-requisite step before publishing an enterprise logical data model.
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