Information and knowledge management is the systematic governance and administration of an organization’s information and knowledge assets for the purposes of creating value and meeting tactical and strategic objectives. It consists of the initiatives, processes, strategies, and systems that sustain and enhance the creation, storage, refinement, sharing, and analysis of knowledge and information. An AM Practitioner will collect, manage and analyze information about assets, infrastructure services, the community, and the organization’s people to meet the organization’s AM needs and objectives and provide evidence for infrastructure decisions.
Effective Behaviours:
- Can explain the full life cycle for asset information from multiple perspectives, including information systems and data, assets, asset systems and hierarchies, people and knowledge, business processes, and communication. Understands the sources, acquisition methods, scope, structure, uses, and governance requirements of AM information, including asset, infrastructure service, and community contextual data.
- Maintains an understanding of AM-related information and information systems needs, sources, architectures, opportunities, and constraints in the organization. Assesses compliance of data and systems to best practices and industry standards. Maintains up-to-date knowledge of industry standard data models and works to align the organization’s data structures with them. Balances information accessibility, usability, privacy and security.
- Collects and integrates data to close gaps and achieve organizational, AM and team objectives. Develops effective data collection processes to meet AM requirements, while appropriately balancing benefits, uncertainties, quality and cost. Develops or enhances existing data systems, controls, and processes to improve relevance, accuracy, access, timeliness, and presentation of data for AM decision support.
- Collects, sorts, compares, summarizes and describes qualitative and quantitative data. Applies appropriate statistical, graphical and logical methods and tools to interpret data sets. Uses common data analysis software appropriately. Develops and uses models, such as forecasts and simulations, to discover patterns and connections, and make interferences and predictions.
- Communicates information effectively to a variety of technical and non-technical audiences, utilizing appropriate methods for the audience. Identifies and communicates the key pieces of information that stakeholders need make decisions. Communicates information clearly and accurately with a variety of methods, including charts and graphs, spatial visualizations, numbers and statistics, and narration.
