Data & Analytics

We work end to end with public purpose organisations to deliver data and analytics solutions that enable intelligent decisions for better outcomes.

Find out more

Data Strategy & Architecture

We combine ‘Data +’ to help you with:

  • Strategy & roadmap
  • Operating model & teams
  • Governance & foundations
  • Sharing & policy
  • Ethics & privacy
  • Architecture & design
  • Assurance & migration
  • Workforce & capabilities

Data Science, Analytics and Data Management

Our team has in-depth experience and capabilities regarding:

  • AI/ML
  • Data science
  • Data analysis (incl. Decision Support)
  • Productivity and efficiency analysis
  • Geospatial
  • Optimisation
  • Digital Twins, Simulation
  • Data Visualisation/Reporting
  • Data Engineering

Actuarial and Modelling Service

We have deep skills and expertise in the following services:

  • Decision support modelling
  • Scheme actuary services for insurers and accident compensation schemes
  • Accident compensation scheme design, strategic and operational advice
  • Financial and budgetary modelling and forecasting
  • Performance monitoring and reporting
  • ESG Modelling

AWS Data & Analytics Accelerators

We provide custom analytics solutions and accelerators that will enhance speed to value for your organisation.

These include:

  • Aurora
  • RDS
  • Kinesis
  • Lambda
  • EC2
  • API Gateway
  • Redshift

Our 8-step data & analytics methodology

Our proven methodology is an agile, customer-centric and data-driven approach that leads to fact-based decisions.
Our processes are iterative and form a cycle of continuous improvement, ensuring that our services are always aligned with our customers’ needs and expectations.

1
Business Understanding
2
Data Understanding
3
Solution Design
4
Data Preparation
5
Solution Development & Testing
6
Evaluation
7
Insight Delivery
8
Check-in

Business understanding

In this stage, we focus on understanding the business challenges and project objectives. At the start of our engagement, we establish clear communication channels for our customers to provide their feedback. This could be through surveys, direct interviews, or digital platforms.

Relevant roles: Business Analyst, Stakeholders

Data understanding

We focus on identifying, sourcing, and understanding the data. We also conduct regular check-ins at defined milestones throughout the engagement. These check-ins serve as touchpoints to gather customer feedback on our services, satisfaction levels, and any potential areas of improvement. Additionally, we have a dedicated client account manager that performs these check-ins outside of the engagement for a more impartial view.

Relevant roles: Data Analyst, Data Engineer, Dedicated client account manager

Mother and daughter teaching and learning

Solution Design

We will work closely with the customer to design the solution and select the appropriate analytic methods that will address your business challenges and requirements whilst considering the local nuances of their organisation.

Relevant roles: Data Scientist, Solution Architect

Mother and daughter teaching and learning

Data Preperation

In this stage, we will finalise analytic plans and prepare the data for analysis. We will also collect feedback from our customers to analyse trends, areas of success and improvement to align our services and approach with customer expectations.

Relevant roles: Data Engineer, Data Quality Analyst

Mother and daughter teaching and learning

Solution Development & Testing

Our experienced team will build the solution with continuous rigorous testing to identify and rectify any errors or flaws and to ensure it performs to the expected high-quality standards. Based on the customer feedback analysis, we implement necessary changes in our service delivery model to enhance customer satisfaction and engagement outcomes.

Relevant roles:  Data Engineer, Data Scientist

Mother and daughter teaching and learning

Evaluation

This is a key stage to evaluate insights in the context of the business issues being addressed post-implementation of changes. We measure the impact through subsequent rounds of feedback whereby we assess customer reaction/satisfaction and the business impacts of the changes made.

Relevant roles: Data Scientist, Business Analyst

Mother and daughter teaching and learning

Insight Delivery

The final stage is to organise, present, and hand over the insights / solution to the customer, ensuring a smooth transition and knowledge transfer.

Relevant roles: Data Visualisation Specialist, Business Analyst

Check-in

Post-engagement, we continue to check in with the customer to follow up on actions and outcomes, gather feedback and ensure satisfaction.

Relevant roles: Project Manager, Client account manager, Stakeholders

Intelligent decisions for better outcomes

Helping government put analytically driven decision making at the heart of solving their most important problems. 

Providing broad and deep expertise across the data and analytics value chain.

Our Team

  • Broad and deep expertise across the data and analytics value chain
  • Stringent role-based experience requirements including domain-based experience, as well as years of experience by grade
  • For specific AWS engagements, we have experienced and/or certified individuals, in line with our accelerated training plan with AWS, especially for services such as Redshift and Lambda​
Girl on laptop showing the power of connection

Our Differentiators

Data and Analytics Accelerators​
  • Analytics playbook​
  • Use case accelerators
  • Data governance and management
Reference Sets and Models​
  • Data platform co-design approach
  • Data Assurance toolkits
Thought Leadership
  • Responsible AI, data ethics​
  • Data Assurance toolkits
  • ESG​
  • Data governance
  • Multi-party data sharing​
  • Geospatial analytics and insights​
  • Transport and transit customer journey platforms

Our client industries and use cases

Justice & Emergency Services

  • Predictive domestic violence policing using data analysis
  • Real-time emergency response systems
  • AI-assisted decision-making for crisis management
  • Automated emergency alert systems

Energy and Climate Action

  • Real-time monitoring of energy consumption patterns
  • Intelligent energy distribution systems
  • Data-driven resource allocation
  • Automated energy grid management

Education & Skills

  • Tracking performance to predict learning outcomes
  • Personalised learning platforms
  • Curriculum development based on student performance data
  • Automation of administrative tasks in educational institutions

Health & Social Services

  • Monitoring of patient health data for network/community needs predictions
  • Patient-centric healthcare systems
  • Data-driven decision-making in healthcare
  • Automated patient records management

Transport, Precincts & Regions

  • Traffic and public transport usage monitoring for predictive maintenance
  • Intelligent transport systems for better customer experience
  • AI-assisted urban planning
  • AI-augmented traffic management systems

Central Agencies/Other

  • Public sentiment analysis for policy making
  • Digital transformation of public service delivery
  • Policy formulation based on advanced analytics/AI-enabled simulation

Proactive risk management strategies aligned with AWS best practices

We know where the focus should lie and the key risks to look out for in different parts of the project lifecycle.
The following delivery focus areas and control points are designed to mitigate these key risks with embedded AWS best practice.

Unclear cost vs. value
Ineffective governance & stakeholder management
Misaligned operating model
Lack of skills and expertise
Governance enabling decision-making
Use Identity and Access Management (IAM) to control who can perform actions on resources; implement detection controls to identify security incidents
High-performing teams
Use AWS Training and Certification to learn about AWS services, best practices, and architecture patterns and upskill teams
Managed risks and opportunities
Protect data in transit and at rest; prepare for security incidents by having an incident response plan
Engaged stakeholders
Use AWS organisations to centrally manage policies across multiple AWS accounts
Embedded lifecycle assurance and learning
Use AWS CloudTrail to enable governance, compliance, operational auditing, and risk auditing; Use AWS Systems Manager to gain operational insights and take action on your AWS resources
Smart financing
Use AWS Budgets to set custom cost and usage budgets that alert you when your costs or usage exceed (or are forecasted to exceed) your budgeted amount
Clear scope
Use AWS Service Catalog to create and manage catalogues of IT services that are approved for use on AWS
Agile change management
Use AWS CodeStar to develop, build, and deploy applications on AWS; use AWS CodePipeline to automate your software release process
Effective planning and process control
Use AWS CloudFormation to model and provision your AWS resources; use AWS Config to assess, audit, and evaluate the configurations of your AWS resources
Focused benefits management
Use AWS Cost Explorer to visualise, understand, and manage your AWS costs and usage over time
Agile change management
As a purpose-led partner of Australian communities, we proactively create relationships with key technology providers to enable public purpose organisations across Australia with access to the best in global innovation
Effective planning and process control
Use AWS Trusted Advisor to inspect your AWS environment and make recommendations when opportunities exist to save money, improve performance, or close security gaps; use AWS Personal Health Dashboard to get a personalised view, and alerts when your resources are impacted

Security

At Scyne Advisory, our internal Security Standard Operating Procedures (SOPs) include a comprehensive process for secure AWS account governance to ensure consistency and security compliance across all customer accounts.

These are managed by our IT teams as well as our Customer-facing Cyber teams. When we create AWS accounts on behalf of customers, the following steps are taken:

Enable Multi-Factor Authentication (MFA) on the root account to add an extra layer of security
Set account contact information using company details to ensure all communications are directed appropriately
Create CloudWatch alerts to monitor and manage the AWS resources and applications in real time

Scyne Advisory follows a standard approach to access customer-owned AWS accounts using temporary credentials such as IAM roles. For ongoing operational support, we maintain access to a customer-owned AWS account through a cross-account IAM role, in line with AWS best practices.

Our process includes both AWS Management Console access and programmatic access using the AWS Command Line Interface or other custom tools. This process is developed in line with AWS best practices, ensuring secure and compliant access to customer-owned AWS accounts.

Please note that the actual processes may vary based on specific organisational policies and customer requirements, in line with Scyne Advisory's policies. Before we embark on an engagement with a customer, we consult and follow the AWS Well-Architected Framework and best practices for secure AWS account governance and access.

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Acknowledgement of Country

‍In the spirit of reconciliation, Scyne acknowledges the Traditional Custodians of Country throughout Australia and their connections to land, sea and community. We pay our respect to their Elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.