Architecture delivers enhanced regulatory insights

Brief

How can the Clean Energy Regulator (CER) enhance its ICT landscape to meet the growing demand for advanced data and analytics capabilities?

As CER continues to invest significant efforts in analysing, wrangling, exploring, and modelling core business data, including visible and infrared satellite imagery, how can these insights be leveraged to automate monitoring processes and overcome compliance and regulatory hurdles at scale?

Challenge

The existing ICT infrastructure was not fully equipped to handle the complex and large-scale data processing requirements, including the integration and analysis of satellite imagery and other core business data.

The lack of a cohesive and integrated data management framework and advanced data tooling hindered the agency's ability to produce actionable insights efficiently. This posed a risk to the agency's ability to meet its long-term strategic vision, particularly in the context of rapidly evolving regulatory and compliance demands.​

Solution

• Map required data capabilities to develop a long-term technology roadmap to mature the agency's data and analytics capabilities

• Develop a reference architecture to store and process structured, semi-structured, and unstructured data, including satellite imagery

• Recommend advanced data science and automation processes and governance framework, to support AI, machine learning, and natural language processing

Outcomes

• A detailed technical roadmap helps to prioritises investments in essential data capabilities, including the establishment of research and modelling lab environments

• An enhanced governance framework ensures data quality, integrity, and compliance across the organisation

• The agency’s work is now realigned with its strategic goals, reinforcing its position as a leader in clean energy regulation