Powering South Australia

Client

SAPN

SA Power Networks is South Australia’s largest electrical network utility. They are a large and complex business, distributing electricity in all major South Australian urban centres and constructing electrical assets for public and private entities across Australia, including the roll-out of the National Broadband Network (NBN) infrastructure in South Australia.

Problem

SA Power Networks generates massive volumes of data, including real-time network, meter and consumption data.  While SA Power Networks captures this data, very little is constructively utilised and demand for this data is continually growing.

Consumers require real-time consumption data, network administrators need to analyse network efficiency, works management want to understand patterns in asset failure, and pricing analysts require data to understand customer demand patterns.

SA Power Networks recognised the need to integrate hundreds of sources of data into a single repository, with data in real-time and/or near real-time. This data had to provide the single version of truth for analytics and down stream systems.

Additionally, a comprehensive analytics platform that could provide different analytical solutions for differentinformation consumers needed to be incorporated. For example, performance dashboards for management, mobile analytics for field crews, predictive analytics for demand and pricing analysts, data analytics for business analysts, and location analytics for network analysts.

SA Power Networks wanted a model that would generate desire for business intelligence and move away from spreadsheets, plus they wanted a governance framework that would establish guidelines to manage data quality,technology use, organisational change and process.

Solution

SA Power Networks undertook a gap analysis and identified a number of critical areas of opportunity.

As a result they developed a strategy to roll-out a comprehensive program of work that had active support from senior management and business units.  There were a number of active projects coming directly from the strategy, including:

  • Real-time data integration project
  • Data quality initiative including the formation of a data governance committee and the purchase andinstallation of dedicated data quality tools.
  • Training and education program for business users

 

Future potential projects included:

  • Predictive analytics projects to support customer and demand analysis
  • Location analytics to map asset failure
  • In-memory database platforms

 

SRA developed and implemented a comprehensive Business Intelligence program with the following deliverables:

  • Business Intelligence Strategy inclusive of:
  1. Extensive business consultation
  2. Continuous stakeholder communication
  3. Gap Analysis
  4. 10 year roadmap
  • Data integration strategy
  • Governance Framework
  • Business Engagement Framework
  • Software Option Assessments

 

 

Further Information

Find out more about SA Power Networks on their website.