Government Agency Leans on Robinson Ryan for Data Strategy and Services to Support Dramatic Growth

Case Study

The Opportunity

A large Australian government agency that supports a better life for hundreds of thousands of Australians was experiencing a major shift.

In a single year, the agency’s client numbers were set to increase from 100k to 200k and expenditure from $7Bn to $14Bn. This corresponded with increased scrutiny, with the sustainability of agency services reliant on complex data modelling, application of principles, evidence-based stories and process industrialisation to cope with scale. Each decision and expenditure needed to be based on solid evidence.

Managing a $2,000Bn lifetime risk, organisational sustainability required sophisticated data driven performance reporting and analytics, used by some of the brightest analytical minds in Australia.

Robinson Ryan delivered data strategy, architecture, design, build, implementation and ongoing support that meets agency needs now and into the future.

Our Approach

Robinson Ryan designed, implemented and currently maintain comprehensive data services which include:

A reference data model to classify data
A data integrity framework to ensure all data is accounted for and that data held in the data warehouse reconciles with source systems and conforms to quality standards
A data catalogue as a foundation for effective management of complex data assets
A data quality framework
Corporate standardisations, corrections and enhancements to ensure that data is provided across the enterprise in a consistent manner.
Data governance to ensure that the services remain aligned with requirements

Product ownership is managed through a “Data Management Group” structure whose membership includes frontline customer-facing representatives. Data-driven outcomes are aligned to business needs by applying world’s best practice – the Data Management Body of Knowledge (DMBoK).

Outcomes Achieved

The agency views the data services provided by Robinson Ryan as critical to its financial and operational sustainability.
The data architecture integrates to core technologies including SAS (SAS Visual Analytics for visual displays and dashboards), Siebel, SAP and Teradata.
There is an ongoing effective partnership at all levels that ensures both effective operational and strategic architecture development.
Data assets cover both short term and long term (3-5 years) scenarios.
During this intense period of growth for the organisation, scenario planning for 3-5 years is critical to ensure that the data services assets will meet evolving needs.
Business intelligence insights are integrated into business activities affecting: