Electricity Asset Management Plan 2019-2029
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Creating a data culture: At the heart of this is to treat data as an asset, including representing it with an economic value, securing it, maintaining it and having a life cycle management plan. Underpinning this are robust management and governance frameworks cemented by strong alignment to ethical overlays (especially as the regulatory and legal frameworks are not keeping pace with technology and capability in this space). Systems of intelligence: Here we are utilising digital best practise to develop standardised, re-usable, scalable and secure digital assets. The focus of the systems of intelligence platform is to reduce total cost of ownership (TCO) of the digital systems while utilising emerging and converging technology to deliver enhanced worker and customer experiences and capability. For example, cloud technology, standardised patterns and templates, security, privacy and accessibility by design, utilisation of advanced BI and analytics tools, providing easily accessible and discoverable data and information for decision making and issue identification. Enable & grow our people: As the complexity of the energy systems (and indeed the world in general) grows, we are working to ensure that our people have the requisite skills and tools to operate in a world where data and information is integral to customer and operational outcomes. As part of this we need to ensure that we are well placed to manage and leverage data as it increases in volume, variety, velocity, veracity and vulnerability.
Figure 4-1 Data and Analytics Strategy
Networks Information Management Strategy The Networks Information Management Strategy is focussed on the following key objectives:
Establishment of formal data standards which are fully aligned and support the Engineering Maintenance and Design and Construction standards (this supports the philosophy of needs based data collection) (See Appendix 2 for a list of the current standards). Implementing systems and processes to ensure high quality data is captured and stored, and is aligned with the Networks Data Standards. Implementing Data Quality Management, Master Data Management and Data Governance processes and practices to maximise the quality (and value) of data available for decision making. Ensuring appropriate Business Intelligence and Analytics platforms are established to allow the Networks teams to fully exploit the value of the data to its fullest extent.
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