SAP Case Studies The Data Tsunami for AGL Energy

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	The Data Tsunami for AGL Energy SAP

The Data Tsunami for AGL Energy

SAP

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Predictive Analytics
Applicable Industries	Utilities
Use Cases	Advanced Metering Infrastructure
Challenge	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 Read More
About Customer	AGL Energy Read More
Customer Name	AGL Energy Read More
Solution	The company turned to TCS to introduce new tools and databases to lay the foundation for a broader spectrum of its business units to access the new data - thus enabling AGL Energy to work smarter in forecasting and data analytics to improve business performance. To accomplish this, AGL Energy and TCS selected SAP HANA - together with new analytical capabilities - which are being developed in 14 “sprints” using AGILE software development methodology. The AGL Energy team and TCS team collaborated with the TCS EntSol SAP CoE team to build the first sprint on the TCS large SAP HANA appliance environment housed at its SAP Global Center of Excellence supporting SAP HANA located in Cincinnati. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Predictive Analytics

Applicable Industries

Utilities

Use Cases

Advanced Metering Infrastructure

Challenge

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

About Customer

AGL Energy

Customer Name

AGL Energy

Solution

The company turned to TCS to introduce new tools and databases to lay the foundation for a broader spectrum of its business units to access the new data - thus enabling AGL Energy to work smarter in forecasting and data analytics to improve business performance. To accomplish this, AGL Energy and TCS selected SAP HANA - together with new analytical capabilities - which are being developed in 14 “sprints” using AGILE software development methodology.

The AGL Energy team and TCS team collaborated with the TCS EntSol SAP CoE team to build the first sprint on the TCS large SAP HANA appliance environment housed at its SAP Global Center of Excellence supporting SAP HANA located in Cincinnati.

Impact #1	[Data Management - Data Integration] Focused business decisions across merchant, retail and corporate business areas
Impact #2	[Cost Reduction - Operation] Greater certainty in financial reporting and load forecasting. Reduced operational and hedging costs. Certainty over financial outcomes
Impact #3	[Data Management - Data Accuracy] Single source of truth for all data

Impact #1

[Data Management - Data Integration]
Focused business decisions across merchant, retail and corporate business areas

Impact #2

[Cost Reduction - Operation]
Greater certainty in financial reporting and load forecasting. Reduced operational and hedging costs. Certainty over financial outcomes

Impact #3

[Data Management - Data Accuracy]
Single source of truth for all data

Benefit #1	50 times faster load forecasting (from 5 weeks to 4 hours)
Benefit #2	5,000% faster portfolio aggregation (from 50 hours to 1 hour)
Benefit #3	60 times faster settlement reconciliation (60 minutes to less than 1 minute)

Benefit #1

50 times faster load forecasting (from 5 weeks to 4 hours)

Benefit #2

5,000% faster portfolio aggregation (from 50 hours to 1 hour)

Benefit #3

60 times faster settlement reconciliation (60 minutes to less than 1 minute)

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Overview

The Data Tsunami for AGL Energy

Operational Impact

Quantitative Benefit