- Recorded 19 November, 2024
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Justin Kenny, Advanced Analytics Platform Manager
Energy Queensland -
Harj Chand, Managing Director
Ignite Data Solutions -
Emily Kucukalic, Managing Director
BNY
With AEMO’s recent rule change set to accelerate the roll out of smart meters, daily read volumes could surge by 2.5 billion by 2030. The big question is: how can we develop advanced analytics systems that can scale rapidly to manage this exponential data growth?
Justin Kenny, Advanced Analytics Platform Manager at Energy Queensland, shares his insights on how his team successfully demonstrated the value, implemented, and scaled a meter data analytics platform that has just reached 1 million NMIs with 5-minute interval data.
- Intro: 0:00 – 1:37
- Overcoming Challenges in Scaling Data: 1:37 – 6:02
- Starting the Data Journey with Ignite: 6:02 – 12:44
- Establishing a Scalable Data Platform: 12:44 – 15:57
- Navigating Critical Infrastructure: 15:57 – 19:24
- Building Support Through Collaboration: 19:24 – 20:00
- Upskilling for Data Transformation: 20:00 – 23:05
- Bridging Skill Levels Across Teams: 23:05 – 25:15
- Combining Use Case and Platform Approaches: 25:15 – 28:14
- Thinking Through Cloud Architecture Choices: 28:14 – 31:00
- Measuring Value and Choosing Use Cases: 31:00 – 37:23
- Transitioning to Advanced Data Processing: 37:23 – 39:57
- Changing Demands and Evolving End-Users: 39:57 – 42:30
- Funding Data Projects Amid Increasing Demand: 42:30 – 43:33
- Reflections and Lessons Learned: 43:33 – End
...I think one one thing that I wouldn't change would be the proof of value.
Proof of Value
Q. How do you know your data science use cases are worth it?
A. Prove that your idea works, and show what its potential return can be.
