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Title
AusNet Services predicts asset failure with Databricks-powered analytics
…, AusNet Services now has a complete view of the performance of its assets, and can deliver data-backed recommendations to predict risks and save maintenance costs. Legacy system made data processing challenging AusNet Services is a diversifie…
Description
AusNet Services, an Australian energy and infrastructure company serving 1.5 million customers, migrated its data platform to Azure Databricks and Delta Lake to consolidate over 11 billion electricity, gas and network connection assets, enabling predictive maintenance across asset classes that reduced risk and cut costs, achieving 50% cost savings on the data platform, 3x faster data processing, and a 20%-30% reduction in operational overhead.
…aster data processing 20% – 30% Reduction in data platform operational overhead With over 11 billion electricity, gas and network connection assets, having a consolidated view of customer energy and equipment usage are essentia…
…t Services CUSTOMER STORY Using data to power millions of Australian households 50% Cost savings on the data platform 3x Faster data processing 20% – 30% Reduction in data platform operational over…
Company
AusNet Services
…isks and save maintenance costs. Legacy system made data processing challenging AusNet Services is a diversified Australian energy and infrastructure business, operating electricity and gas distribution networks on top of providing commer…
Industry
Energy
…al of data and insights to achieve a sustainable energy future. Share this post Details Industry : Energy Use Case : Data Science , Data Warehousing , Data Engineering Cloud : Azure Product : Databricks SQL , Delta Lake , Agent Bricks Ready to get started? Try Databricks for free Learn more about our product Talk…
Problem
AusNet Services faced stability and scalability challenges with its existing compute platform as it managed over 11 billion assets and anticipated more than 65TB of data growth over four years across separate data warehouses, making it hard to derive meaningful insights or assess asset condition ahead of damage.
…d hoc analysis,” said Souvik Das, Senior Data Platform Lead at AusNet Services. AusNet Services was facing stability and scalability challenges with their existing compute platform. They turned to the Databricks Data + AI Platform on Azure to centralize all the…
Solution
AusNet Services migrated its production workloads to the Databricks Data + AI Platform on Azure, using Delta Lake's Time Travel feature and Data Vault 2.0 modeling to process large volumes of metering data reliably, shifting to data-driven predictive maintenance for three asset classes based on condition, criticality and risk assessment.
…ge volumes of data at greater speed for our data model based on Data Vault 2.0. Delta Lake’s Time Travel feature allows us to access any historical version of the data, which has been useful.” In addition, Databricks’ optimized cluster management capabilities have helped…
…nce, we were able to efficiently process large volumes of data at greater speed for our data model based on Data Vault 2.0. Delta Lake’s Time Travel feature allows us to access any historical version of…
Business value
AusNet Services achieved 50% cost savings on its data platform, 3x faster data processing, and a 20%-30% reduction in data platform operational overhead, and is now expanding predictive maintenance across its entire fleet of assets after significant risk reduction and cost optimization in its initial three asset classes.
…ficant risk reduction and cost optimization. As a result of this early success, AusNet has expanded this initiative and is currently implementing predictive maintenance across its entire fleet of assets. “Databricks has been an integral part of this journey, making the migration and…
AI capabilities
Predictive Analytics, Machine Learning
…infrastructure. This migration enhanced the performance of their data team and enabled downstream analytics and machine learning use cases that provide a better customer experience by predicting maintenance schedules and reducing the impact of asset failure. Improved data reliability and cross-t…
Technology
Delta Lake
…nd ad hoc analysis, data team performance was largely enhanced. Souvik shared, “By leveraging Delta Lake’s capabilities and fast performance, we were able to efficiently process large volumes of data at greater speed for our data model based on Data Vault 2.0. Delta Lake’s Time Travel feature al…
Deployment options
cloud
…al of data and insights to achieve a sustainable energy future. Share this post Details Industry : Energy Use Case : Data Science , Data Warehousing , Data Engineering Cloud : Azure Product : Databricks SQL , Delta Lake , Agent Bricks Ready to get started? Try Databricks for free Learn more about our product Talk…
Headline outcome
…t Services CUSTOMER STORY Using data to power millions of Australian households 50% Cost savings on the data platform 3x Faster data processing 20% – 30% Reduction in data platform operational over…
Use case type
Predictive operations
…condition, criticality and risk of every asset, ahead of any damages. The team shifted to using data insights and predictive maintenance for three of their assets classes that resulted in significant risk reduction and cost optimization. As a result…
