AM 303 – Knowledge Management

Overview

AM 303 – Knowledge Management helps you turn data into insight.

This course supports anyone involved in designing, capturing, and analysing asset management data. It follows the Data–Information–Knowledge–Wisdom (DIKW) model to show how raw data becomes meaningful knowledge – and how that knowledge supports better decisions.

You’ll explore what it takes to manage asset data effectively, from data governance and architecture to the practical realities of collection, storage, and analysis. The course also introduces relevant legislation and standards, including ISO 55000 and ISO 8000, and shows how to align your systems and processes to support wise, evidence-based decision-making.

This course content is based on the authoritative Āpōpō Guide and ISO 55000 suite of Standards.

Upon completion of AM 303 you will be better enabled to:

1. Establish data and information governance processes to direct, control and assure that asset information is managed effectively as an organisational resource
2. Define relevant legislative requirements, management standards and guidelines
3. Define and specify data design – such as appropriate system architecture for creating, storing and processing data; and the organisation’s asset data standards that provide common definitions of asset hierarchies and attributes
4. Understand and define data collection process criteria, and maintenance of data
5. Understand and define data interface exchanges between systems and information storage requirements (such as security and confidentiality)
6. Analyse data to gain an understanding of the organisation’s infrastructure.

On completion, learners are awarded a digital badge which can be saved and shared.

This course is a collaboration between Āpōpō and GHD.