Use your data to drive performance for better community outcomes

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Leading agencies strive to deliver value to the community - using proprietary and open data can help accelerate that delivery

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INSIGHTS

COMBINE & ANALYSE

Combine and analyse structured and unstructured data from various sources and channels

Surface stories from data to help you improve service delivery

Translate raw data and analytics into meaningful, actionable insights to inform policy and program development

 

Read a case study here

 

 

 

AUGMENTATION

AUGMENTATION

IMPROVE EFFICIENCY & EFFECTIVENESS

Automating manual, time-consuming and repetitive tasks / processes to maximise time and efficiency, so your staff can focus on higher-value tasks that require innovation, creativity and expertise

Driving process optimisation by evaluating the effectiveness of current business processes and operations, and using AI to identify patterns and detect and resolve bottlenecks to drive process optimisation

Read a case study here

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PERFORMANCE &RISK INTELLIGENCE

 

The Intelligence Monitor suite provides out of the box functionality for performance and risk intelligence monitoring.

They incorporate external data sources, including a pre-defined selection of public (open) data.

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ROBOCAT

 

The RoboCat improves procurement in organisations with voluminous, complex, and distributed product supply chains.

Using AI, it augments procurement activity by automatically analysing and categorising procurement data.

Do you want to use data to improve service delivery?
 
Keen to explore? Get in touch.

CLIENT STORIES

PROCUREMENT OPTIMISATION

PROCUREMENT OPTIMISATION

Identifying opportunities for optimisation:

  • buying efficiency

  • better reporting

  • enhanced inventory management

The brief

This state government agency, with significant annual spend on goods and services, wanted to improve aspects of the procurement process - simultaneously:

  • reducing the level of off-catalogue spend

  • reducing the buyer workload

  • making it easier for requisitioners

 

The work included
  • Analysis of unstructured (free text) data using Natural Language Processing
  • Automatically linking analysis outputs back to established process & systems to minimise impact on users

 

Outcomes
  • Custom data- and tech-augmented approach to:

    • Further reduce contract leakage

    • Improve inventory handling (e.g. ordering, usage & logistics)

    • Reduce manual effort

    • Enable focus on supplier relationship management

  • Granular identification of misallocated items that distort spend analysis (e.g. by category, by contract)

THE ART OF THE POSSIBLE: FASTER, BETTER COMPLAINTS HANDLING

Drone Over the Mountains

Identifying if/how the data could inform potential projects involving economy, efficiency & effectiveness.

Bringing together 10 years' of open and proprietary data from 3 agencies

The brief
  • Three state government agencies with complementary service focus areas

  • Can joining up their data provide new collective insights or matters of significance?

  • Could the data inform projects to enhance economy, efficiency or effectiveness?

 

The work included
  • A process and data discovery exercise

  • Linking and analysing 10 years’ worth of data from each agency

  • Outlining what would be possible with the available data

  • Agile approach, iterative delivery of insights

 

Outcomes
  • Evidenced the substantial value to be unlocked from joined-up data, rather than single approach

  • New insights and a roadmap for using a data- and tech-augmented approach to other services/functional areas.

AN EVIDENCE BASE TO INFORM WORK PRIORITIES, BUSINESS PLANNING AND DECISION-MAKING

Market Analysis

How can we better monitor council performance and relevant risk indicators - transitioning to an evidence based (data-driven) decision-making regime?

The brief
  • This government department works with local councils across the state, analysing their data to help them improve their performance and governance.

  • Keeping track of the masses of data from each of the 77 councils is no easy feat

  • The department was looking for a solution to enable insights and make better decisions about each individual council’s performance.

  • This would allow them to provide better support to each council.

 

The work included
  • Defining the requirements and possibilities - leveraging the project team's experience in risk management, performance monitoring and analytics solutions

  • An agile project, with 6 x 2-week sprints

  • Iterative delivery of analysis involving over 60 sets of data - open and proprietary - structured and unstructured

 

Outcomes
  • A single solution for insights - enabling evidence based prioritisation, planning and decision-making

 

Click here to hear what the project sponsor thought about the project

PERFORMANCE AUDIT - DISABILITY SERVICES RISK MANAGEMENT

Disability performance audit - case stud

 

 

 

Are we able to capture complaints, risks, incidents effectively and efficiently?

 

Can our overall process or the way in which we capture data be improved to enable better customer outcomes?

The brief
  • This large disability services provider had implemented a new system to capture risks, incidents and various feedback from its clients (including complaints).

  • The performance audit had two primary focus areas:

    • Effectiveness - was the system for managing incidents, risks and complaints fit for purpose in the new operating environment - particularly in light of the changes that were expected with the rollout of the NDIS?

    • Efficiency - were there opportunities to improve how the system is used as a business intelligence tool to better support management decision-making?

 

The work included
  • Assessment of management of incidents, risks and complaints against relevant Australian Standards and industry better practice

  • Risk profiling and priority targeting of hundreds of sites across 4 states

  • Testing system functionality for capturing mandatory minimum data, and the completeness and quality of the data

  • Linkage and analysis of seven years of structured and unstructured data from several systems, with performance benchmarked against the sector

  • Visualisation of analysis in dynamic dashboards

 

Outcomes
  • Assurance that appropriate data is being captured for regulatory reporting

  • Purpose built dashboards and reports for management to accurately monitor, assess and respond to issues as they arise

  • Development of relevant performance metrics and reporting to support ongoing performance improvement