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Avoid Unplanned Downtime with Predictive Analytics
Objectives • Create an innovative IT environment that supports the move toward a solution-provider business model • Enhance existing business processes and leverage the power of Big Data and predictive maintenance to become more proactive, customer oriented, and competitive • Leverage the SAP HANA® platform to transform and simplify the entire SAP® solution landscape
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The Data Tsunami for AGL Energy
AGL Energy, one of Australia’s largest power retailers, is replacing its electromechanical meters with interactive smart meters in 2.2 million homes and 300,000 businesses throughout the state of Victoria, including its capital, Melbourne. This is nearly a 4,320-fold increase in daily data processing for electricity providers. It’s also the start of a “data tsunami,” swelling up from these 2.5 million smart meters and flowing into AGL Energy’s billing and operations systems.AGL’s Business Requirements- For wholesale energy: Improved settlement reporting- For merchant energy portfolio management: Better load forecasting, accuracy and data analytics / segmentation with better reporting- For analytics: Better forecasting and reporting
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Driving High Performance with SAP Business Suite
Engine testing is a costly and data-intensive process. And, while most engine failures occur within minutes, failed tests could not be identified until after completion, resulting in hours of lost time and resources.
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