Abstract :
Engineering asset lifecycle management is data driven. Asset lifecycle processes generate, process, and analyse enormous amount of data on daily basis. Asset lifecycle management can be viewed as a combination of data based informed decisions associated with strategic, planning, and operational levels of the organization. Realization of such a view of asset lifecycle requires appropriate quality, standardized, and interoperable data that provides the strategic fit between asset lifecycle processes and their enabling technologies. However, this data needs governance policies in place to ensure that it is managed and handled in a way that provides optimum value to the entire organsiation. This paper sketches out a framework for asset lifecycle management data governance, which highlights the roles and accountabilities related to asset lifecycle information management. The framework describes how common business data and metrics should be defined, propagated, owned and enforced throughout the organization, thereby allowing for better quality and faster decision making, business intelligence reporting, cost reductions, compliance, and better controls of business processes.
Keywords :
asset management; business data processing; competitive intelligence; data analysis; decision making; strategic planning; asset lifecycle management data governance; business data; business intelligence reporting; business process control; cost reductions; data analysis; data generation; data processing; decision making; engineering asset lifecycle management; governance structures; infrastructure asset management; interoperable data; strategic planning; Asset management; Optimization; Organizations; Planning; Standards organizations; Technology management;