Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.
Title
Aggreko embeds machine learning across global operations with Azure Databricks
…tform, Aggreko has a unified view into all their data for downstream analytics, embedding machine learning across operations to enhance and augment human decision-making, and enabling better alignment with business strategy. This will also play an i…
Description
Aggreko, a supplier of temporary power generation equipment across 265+ locations worldwide, used Azure Databricks and Delta Lake to unify data silos and analyze real-time IoT data from tens of thousands of field assets, embedding machine learning for predictive maintenance, saving over 30,000 hours of productivity, reducing service material costs by 10%, and achieving 140% of its cost-reduction target in the first half of 2020.
…al costs 140% Cost reduction target achieved 30,000 Hours of productivity saved Aggreko is a supplier of temporary power generation and temperature control equipment for over 265 locations worldwide –all generating vast amounts of data. In order to optimize its supply chain and…
Company
Aggreko
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Aggreko CUSTOMER STORY Bringing power to the people with data-driven insights 10% Reduc…
Industry
Energy
…to enable self-service, insight-driven decision-making. Share this post Details Industry : Energy , Industrials Use Case : Data Science , Data Engineering Cloud : Azure Product : Delta Lake ,…
Problem
Aggreko's data across 265+ global locations was siloed, making it difficult to empower the organization with consistent, trusted, data-driven insights; access to up-to-date information was limited, hindering the ability to identify underperforming assets or anticipate maintenance risk in real time.
…work in the same space so that we can be consistent with the data we utilize.” Access to up-to-date information was also a challenge, and Elizabeth wanted the ability to create more timely insights that could be trusted. They realized that the key to achieving their technology and business goals was…
Solution
Aggreko selected Azure Databricks as its centralized data and AI platform, using Delta Lake to unify data into a modern lakehouse with automated cluster management, and embedded machine learning to analyze real-time IoT data streaming from tens of thousands of field assets, predicting maintenance issues to prevent catastrophic failures and augmenting human decision-making.
…ility of the cloud. Driving efficiency in supply chain and logistics operations Aggreko selected Azure Databricks as their centralized platform for data and AI. Delta Lake has allowed Aggreko to bring their data together into a modern lakehouse with a scale and economy that makes business sense, and reduces the number of p…
Business functions
Supply Chain & Logistics
…quipment for over 265 locations worldwide –all generating vast amounts of data. In order to optimize its supply chain and logistics and improve customer experiences, Aggreko realized that it had to break down data silos to empower its global organization with data-driven insights. With the Databric…
Technology
Azure Databricks, Delta Lake
…ails Industry : Energy , Industrials Use Case : Data Science , Data Engineering Cloud : Azure Product : Delta Lake , Agent Bricks Ready to get started? Try Databricks for fr…
Use case type
Predictive operations
…as expected, or to anticipate when it might be at risk of failure. In addition, they are predicting maintenance issues in order to prevent catastrophic failures — avoiding health and safety issues while also providing better service to cust…
Headline outcome
…/ Aggreko CUSTOMER STORY Bringing power to the people with data-driven insights 10% Reduction in service material costs 140% Cost reduction target achieved 30,000 Hours of productivity saved Aggreko…
Business value
Aggreko saved over 30,000 hours of productivity through data automation such as automated manufacturing reporting, reduced service material costs by 10%, and achieved 140% of its cost-reduction target in the first half of 2020.
…Through data automation activities, such as automated manufacturing reporting, they were able to achieve over 30,000 hours of productivity savings across their global business. Additionally, the Databricks Data + AI Platform on the Azure cloud provided th…
AI capabilities
Predictive Analytics, Machine Learning
…ed, or to anticipate when it might be at risk of failure. In addition, they are predicting maintenance issues in order to prevent catastrophic failures — avoiding health and safety issues while also providing better service to cust…
Deployment options
cloud
…ails Industry : Energy , Industrials Use Case : Data Science , Data Engineering Cloud : Azure Product : Delta Lake , Agent Bricks Ready to get started? Try Databricks for fr…
